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Julie A. Shah

Julie A. Shah

MIT
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 47 6541 6352 2891 2784 174 8208

Julie A. Shah publications per year

The chart shows the history of publications by Julie A. Shah between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Julie A. Shah published across 20 years, from 2006 to 2025, averaging 11.4 papers a year. Output peaked at 22 publications in 2024. 35 of the 228 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2024. 2006: 2 publications 2007: 2 publications 2008: 2 publications 2009: 2 publications 2010: 2 publications 2011: 3 publications 2012: 6 publications 2013: 8 publications 2014: 19 publications 2015: 19 publications 2016: 15 publications 2017: 19 publications 2018: 16 publications 2019: 16 publications 2020: 17 publications 2021: 16 publications 2022: 17 publications 2023: 12 publications 2024: 22 publications 2025: 13 publications
2006 2025

228 publications in total across all disciplines

View publications per year as a table
Julie A. Shah: publications per year, 2006 to 2025
Year Publications
2006 2
2007 2
2008 2
2009 2
2010 2
2011 3
2012 6
2013 8
2014 19
2015 19
2016 15
2017 19
2018 16
2019 16
2020 17
2021 16
2022 17
2023 12
2024 22
2025 13
Total 228
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Julie A. Shah publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Julie A. Shah sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 172–181 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556 174
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Julie A. Shah D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Julie A. Shah sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 46–47 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689 47
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Julie A. Shah is affiliated with MIT in the United States and has contributed extensively to the field of computer science, particularly within artificial intelligence. Their body of work encompasses multiple subfields, including artificial intelligence, social psychology, control and systems engineering, computer vision and pattern recognition, and surgery. The combined number of publications highlights a diverse research focus spanning computational and human-centric areas.

Their research covers several main topics, with a strong emphasis on explainable artificial intelligence (XAI), reinforcement learning in robotics, human-automation interaction and safety, adversarial robustness in machine learning, robot manipulation and learning, topic modeling, and AI-based problem solving and planning.

Julie A. Shah has authored papers published in various academic venues with repeated contributions, particularly in arXiv (Cornell University), which accounts for the majority of their publications. Other frequent venues include the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Robotics and Automation Letters, International Journal of Human-Computer Interaction, and IEEE Transactions on Robotics.

Recent publications exemplify the scope of their research, including:

  • Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence (2022), arXiv (Cornell University)
  • Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report (2022), arXiv (Cornell University)
  • The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems (2022), International Journal of Human-Computer Interaction
  • Do Feature Attribution Methods Correctly Attribute Features? (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • What skills and abilities can automation technologies replicate and what does it mean for workers? (2022), OECD social employment and migration working papers

The scientist collaborates regularly with specific co-authors, including Yilun Zhou, Mycal Tucker, Serena Booth, Lindsay Sanneman, and Ankit Shah, indicating a network of partnerships fostering research development across their focal areas.

Best Publications

  • Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence

    Peter Stone;Rodney Brooks;Erik Brynjolfsson;Ryan Calo

  • Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human–Robot Collaboration

    Przemyslaw A. Lasota;Julie A. Shah

  • A Survey of Methods for Safe Human-Robot Interaction

    Przemyslaw A. Lasota;Terrence Fong;Julie A. Shah

  • The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification

    Been Kim;Cynthia Rudin;Julie A Shah

  • Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams

    Matthew C. Gombolay;Reymundo A. Gutierrez;Shanelle G. Clarke;Giancarlo F. Sturla

  • Improved human-robot team performance using chaski, a human-inspired plan execution system

    Julie Shah;James Wiken;Brian Williams;Cynthia Breazeal

  • Improving Robot Controller Transparency Through Autonomous Policy Explanation

    Bradley Hayes;Julie A. Shah

  • Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks

    Stefanos Nikolaidis;Ramya Ramakrishnan;Keren Gu;Julie Shah

  • Toward safe close-proximity human-robot interaction with standard industrial robots

    Przemyslaw A. Lasota;Gregory F. Rossano;Julie A. Shah

  • Evaluating Effects of User Experience and System Transparency on Trust in Automation

    X. Jessie Yang;Vaibhav V. Unhelkar;Kevin Li;Julie A. Shah

  • Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy

    Stefanos Nikolaidis;Julie Shah

  • Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification

    Claudia Perez-D'Arpino;Julie A. Shah

  • An Architecture for Online Affordance-based Perception and Whole-body Planning

    Maurice Fallon;Scott Kuindersma;Sisir Karumanchi;Matthew Antone

  • Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences:

    Matthew C. Gombolay;Anna Bair;Cindy Huang;Julie A. Shah

  • Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time

    Vaibhav V. Unhelkar;Przemyslaw A. Lasota;Quirin Tyroller;Rares-Darius Buhai

  • Optimizing Makespan and Ergonomics in Integrating Collaborative Robots Into Manufacturing Processes

    Margaret Pearce;Bilge Mutlu;Julie Shah;Robert Radwin

  • Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints

    Matthew C. Gombolay;Ronald James Wilcox;Julie A Shah

  • Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints

    Matthew C. Gombolay;Ronald J. Wilcox;Julie A. Shah

  • An Empirical Analysis of Team Coordination Behaviors and Action Planning With Application to Human–Robot Teaming:

    Julie A. Shah;Cynthia Breazeal

  • Implicit Coordination Strategies for Effective Team Communication

    Abhizna Butchibabu;Christopher Sparano-Huiban;Liz Sonenberg;Julie Shah

  • Efficient Model Learning for Human-Robot Collaborative Tasks.

    Stefanos Nikolaidis;Keren Gu;Ramya Ramakrishnan;Julie A. Shah

  • Do Feature Attribution Methods Correctly Attribute Features

    Yilun Zhou;Serena Booth;Marco Tílio Ribeiro;Julie Shah

  • Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification

    Claudia Perez D'Arpino;Julie A Shah

Frequent Co-Authors

Been Kim
Been Kim Google (United States)
Brian C. Williams
Brian C. Williams MIT
Ece Kamar
Ece Kamar Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Cynthia Breazeal
Cynthia Breazeal MIT
Terrence Fong
Terrence Fong Ames Research Center
Bilge Mutlu
Bilge Mutlu University of Wisconsin–Madison
Cynthia Rudin
Cynthia Rudin Duke University
Russ Tedrake
Russ Tedrake MIT
Rachid Alami
Rachid Alami Laboratory for Analysis and Architecture of Systems

External Links

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Related Online Degrees & Career Pathways

The field of Computer Science connects to a wide range of online degree opportunities and diverse career pathways in technology and engineering. For students looking to fast-track their education, options such as an accelerated cs degree allow you to complete your studies more quickly and enter the workforce sooner.

Those interested in applying their computational skills to real-world environmental challenges can pursue environmental engineering degrees online. If your interests lean toward innovation in machines and devices, online mechanical engineering degrees provide accessible pathways into this vital field.

For students who are passionate about the fundamentals of science, you may wonder: can you get a physics degree online? The answer is yes—flexible online formats are increasingly available, making interdisciplinary learning and new career opportunities more accessible than ever before.

Best Scientists Citing Julie A. Shah

Anca D. Dragan

Anca D. Dragan

University of California, Berkeley

Publications: 27

Subbarao Kambhampati

Subbarao Kambhampati

Arizona State University

Publications: 23

Siddhartha S. Srinivasa

Siddhartha S. Srinivasa

University of Washington

Publications: 16

Brian Scassellati

Brian Scassellati

Yale University

Publications: 15

Been Kim

Been Kim

Google (United States)

Publications: 15

Dorsa Sadigh

Dorsa Sadigh

Stanford University

Publications: 15

Bilge Mutlu

Bilge Mutlu

University of Wisconsin–Madison

Publications: 14

David Hsu

David Hsu

National University of Singapore

Publications: 14

Lihui Wang

Lihui Wang

Royal Institute of Technology

Publications: 13

Dana Kulic

Dana Kulic

Monash University

Publications: 13

Andrea L. Thomaz

Andrea L. Thomaz

The University of Texas at Austin

Publications: 13

Maja J. Matarić

Maja J. Matarić

University of Southern California

Publications: 13

Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

Publications: 12

Rachid Alami

Rachid Alami

Laboratory for Analysis and Architecture of Systems

Publications: 12

Jan Peters

Jan Peters

Technical University of Darmstadt

Publications: 11

Matthias Scheutz

Matthias Scheutz

Tufts University

Publications: 11

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