World's Best Scientists 2026 revealed!
Daniela Rus

Daniela Rus

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Best Female Scientists
2025
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Best Female Scientists 138 259 245 164 155 883 69501
Electronics and Electrical Engineering 138 27 27 15 15 779 70640
Computer Science 139 73 70 43 41 845 71142

Daniela Rus publications per year

The chart shows the history of publications by Daniela Rus between 1980 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniela Rus published across 47 years, from 1980 to 2026, averaging 22.8 papers a year. Output peaked at 73 publications in 2023. 44 of the 1,071 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1980 to 2026. Vertical axis: number of publications, 0 to 73. Peak 73 publications in 2023. 1980: 1 publication 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 2 publications 1992: 2 publications 1993: 8 publications 1994: 4 publications 1995: 3 publications 1996: 5 publications 1997: 13 publications 1998: 13 publications 1999: 16 publications 2000: 16 publications 2001: 20 publications 2002: 19 publications 2003: 24 publications 2004: 16 publications 2005: 22 publications 2006: 15 publications 2007: 21 publications 2008: 24 publications 2009: 22 publications 2010: 39 publications 2011: 28 publications 2012: 45 publications 2013: 54 publications 2014: 40 publications 2015: 47 publications 2016: 31 publications 2017: 47 publications 2018: 57 publications 2019: 61 publications 2020: 53 publications 2021: 69 publications 2022: 58 publications 2023: 73 publications 2024: 59 publications 2025: 43 publications 2026: 1 publication
1980 2026

1,071 publications in total across all disciplines

View publications per year as a table
Daniela Rus: publications per year, 1980 to 2026
Year Publications
1980 1
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 2
1992 2
1993 8
1994 4
1995 3
1996 5
1997 13
1998 13
1999 16
2000 16
2001 20
2002 19
2003 24
2004 16
2005 22
2006 15
2007 21
2008 24
2009 22
2010 39
2011 28
2012 45
2013 54
2014 40
2015 47
2016 31
2017 47
2018 57
2019 61
2020 53
2021 69
2022 58
2023 73
2024 59
2025 43
2026 1
Total 1,071
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Daniela Rus publications per year - data summary

  • Daniela Rus, a Electronics and Electrical Engineering scholar from MIT, has 1,071 publications recorded across 47 years, from 1980 to 2026.
  • The oldest publication on record dates to 1980 and the most recent to 2026.
  • The most productive year is 2023, with 73 publications.
  • The least productive years with any output are 1980 and 2026, with 1 publication each.
  • 10 of the 47 years in the span carry no publications at all (1981, 1982, 1983, 1984 and others).
  • The rate of publication averages 22.8 papers per year over the whole span, or 28.9 per year counting only the 37 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 234 publications, 22% of the career total.
  • Split into equal eras - 1980-1995: 20 publications (1.3 per year); 1996-2011: 313 publications (19.6 per year); 2012-2026: 738 publications (49.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Daniela Rus publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Daniela Rus sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 774–793 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 779 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19 779
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Daniela Rus publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Daniela Rus, a Electronics and Electrical Engineering scholar from MIT, records 779 publications - the 96th percentile of the discipline.
  • 96% of ranked Electronics and Electrical Engineering scientists score the same or lower than Daniela Rus, and about 4% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Daniela Rus ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Daniela Rus D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Daniela Rus sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 111+ D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 138 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96 138
Download as CSV

Daniela Rus D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Daniela Rus, a Electronics and Electrical Engineering scholar from MIT, records 138 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Electronics and Electrical Engineering scientists score the same or lower than Daniela Rus, and about 0% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Daniela Rus ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - Fellow of the American Academy of Arts and Sciences
  • 2015 - Member of the National Academy of Engineering For contributions to distributed robotic systems.
  • 2014 - ACM Fellow For contributions to robotics and sensor networks.
  • 2010 - IEEE Fellow For contributions to distributed and modular robotics
  • 2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of distributed robotics, agents, and sensor networks.
  • 2002 - Fellow of the MacArthur Foundation
  • 1998 - Fellow of Alfred P. Sloan Foundation

Overview

Daniela Rus is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering, and Automotive Engineering.

Their main topics of research work include:

  • Reinforcement Learning in Robotics
  • Soft Robotics and Applications
  • Autonomous Vehicle Technology and Safety
  • Robotic Path Planning Algorithms
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Modular Robots and Swarm Intelligence

Daniela Rus has a substantial academic publication record with many papers appearing in frequent venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Some of their recent significant papers include:

  • "Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges," 2023, IEEE Control Systems
  • "Model-based dynamic feedback control of a planar soft robot: trajectory tracking and interaction with the environment," 2020, The International Journal of Robotics Research
  • "Neural circuit policies enabling auditable autonomy," 2020, Nature Machine Intelligence
  • "Liquid Time-constant Networks," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "On an Improved State Parametrization for Soft Robots With Piecewise Constant Curvature and Its Use in Model Based Control," 2020, IEEE Robotics and Automation Letters

Frequent co-authors collaborating with Daniela Rus include:

  • Ramin Hasani
  • Alexander Amini
  • Sertaç Karaman
  • Mathias Lechner
  • Cosimo Della Santina

Throughout their career, Daniela Rus has received multiple awards and fellowships from various scientific and professional organizations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • Fellow of the American Academy of Arts and Sciences, 2017
  • Member of the National Academy of Engineering, 2015, for contributions to distributed robotic systems
  • ACM Fellow, 2014, for contributions to robotics and sensor networks
  • IEEE Fellow, 2010, for contributions to distributed and modular robotics
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2009, for significant contributions to distributed robotics, agents, and sensor networks
  • Fellow of the MacArthur Foundation, 2002
  • Fellow of Alfred P. Sloan Foundation, 1998

Best Publications

  • Design, fabrication and control of soft robots

    Daniela L. Rus;Michael T. Tolley

  • Robust distributed network localization with noisy range measurements

    David Moore;John Leonard;Daniela Rus;Seth Teller

  • On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment

    Javier Alonso-Mora;Samitha Samaranayake;Alex Wallar;Emilio Frazzoli

  • Artificial Intelligence in Surgery: Promises and Perils

    Daniel A. Hashimoto;Guy Rosman;Daniela Rus;Ozanan R. Meireles

  • Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

    M. Yim;Wei-Min Shen;B. Salemi;D. Rus

  • Global clock synchronization in sensor networks

    Qun Li;D. Rus

  • A method for building self-folding machines

    S. Felton;M. Tolley;E. Demaine;D. Rus

  • Autonomous Soft Robotic Fish Capable of Escape Maneuvers Using Fluidic Elastomer Actuators.

    Andrew D. Marchese;Cagdas D. Onal;Daniela Rus

  • Planning and Decision-Making for Autonomous Vehicles

    Wilko Schwarting;Javier Alonso-Mora;Daniela Rus

  • Data collection, storage, and retrieval with an underwater sensor network

    I. Vasilescu;K. Kotay;D. Rus;M. Dunbabin

  • Exploration of underwater life with an acoustically controlled soft robotic fish

    Robert Kevin Katzschmann;Joseph Jeff DelPreto;Robert MacCurdy;Daniela L Rus

  • Programmable matter by folding

    E. Hawkes;B. An;N. M. Benbernou;H. Tanaka

  • Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators

    Sangok Seok;Cagdas Denizel Onal;Kyu-Jin Cho;Robert J. Wood

  • Fluid-driven origami-inspired artificial muscles

    Shuguang Li;Shuguang Li;Shuguang Li;Daniel M. Vogt;Daniel M. Vogt;Daniela Rus;Robert J. Wood;Robert J. Wood

  • A Recipe for Soft Fluidic Elastomer Robots

    Andrew Dominic Marchese;Robert Kevin Katzschmann;Daniela L Rus

  • Online power-aware routing in wireless Ad-hoc networks

    Qun Li;Javed Aslam;Daniela Rus

  • Perception, Planning, Control, and Coordination for Autonomous Vehicles

    Scott Drew Pendleton;Hans Andersen;Xinxin Du;Xiaotong Shen

  • Design, fabrication and control of origami robots

    Daniela Rus;Michael T. Tolley

  • Tracking a moving object with a binary sensor network

    Javed Aslam;Zack Butler;Florin Constantin;Valentino Crespi

  • Decentralized, Adaptive Coverage Control for Networked Robots

    Mac Schwager;Daniela Rus;Jean-Jacques Slotine

  • LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

    Tixiao Shan;Brendan Englot;Carlo Ratti;Daniela Rus

  • Modular Self-Reconfigurable Robot Systems

    Mark Yim;Wei-Min Shen;Behnam Salemi;Daniela Rus

Frequent Co-Authors

Mac Schwager
Mac Schwager Stanford University
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Robert J. Wood
Robert J. Wood Harvard University
Javier Alonso-Mora
Javier Alonso-Mora Delft University of Technology
Peter Corke
Peter Corke Queensland University of Technology
David Kotz
David Kotz Dartmouth College
Bruce R. Donald
Bruce R. Donald Duke University
Javed A. Aslam
Javed A. Aslam Northeastern University

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