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Alberto Rodriguez

Alberto Rodriguez

MIT
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 7920 7693 3415 3286 118 8739

Alberto Rodriguez publications per year

The chart shows the history of publications by Alberto Rodriguez between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alberto Rodriguez published across 19 years, from 2007 to 2025, averaging 6.9 papers a year. Output peaked at 25 publications in 2018. 6 of the 131 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2018. 2007: 2 publications 2008: 2 publications 2009: 2 publications 2010: 2 publications 2011: 1 publication 2012: 4 publications 2013: 3 publications 2014: 4 publications 2015: 4 publications 2016: 5 publications 2017: 10 publications 2018: 25 publications 2019: 17 publications 2020: 14 publications 2021: 15 publications 2022: 8 publications 2023: 7 publications 2024: 4 publications 2025: 2 publications
2007 2025

131 publications in total across all disciplines

View publications per year as a table
Alberto Rodriguez: publications per year, 2007 to 2025
Year Publications
2007 2
2008 2
2009 2
2010 2
2011 1
2012 4
2013 3
2014 4
2015 4
2016 5
2017 10
2018 25
2019 17
2020 14
2021 15
2022 8
2023 7
2024 4
2025 2
Total 131
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Alberto Rodriguez 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 Alberto Rodriguez 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, 112–121 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: 118 publications — 14th percentile

14% 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
112–121 497 118
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
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

Alberto Rodriguez 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 Alberto Rodriguez 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, 42–43 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: 43 D-Index — 46th percentile

46% 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 43
44–45 763
46–47 689
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

Alberto Rodriguez is a researcher affiliated with MIT in the United States, contributing extensively to the fields of engineering and computer science. Their work spans multiple subfields, including control and systems engineering, computer vision and pattern recognition, biomedical engineering, cognitive neuroscience, and artificial intelligence.

The core focus of their research lies in robotics, with a strong emphasis on robot manipulation and learning. Other significant areas of study include tactile and sensory interactions, soft robotics and applications, robotic mechanisms and dynamics, robotic path planning algorithms, human pose and action recognition, and hand gesture recognition systems.

Recent publications demonstrate the scope and diversity of their research interests. Notable papers include:

  • iNeRF: Inverting Neural Radiance Fields for Pose Estimation, 2021, presented at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • TossingBot: Learning to Throw Arbitrary Objects With Residual Physics, 2020, published in IEEE Transactions on Robotics
  • Cable manipulation with a tactile-reactive gripper, 2021, featured in The International Journal of Robotics Research
  • GelSlim 3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger, 2022, presented at the 2022 International Conference on Robotics and Automation (ICRA)
  • On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward, 2020, published in Proceedings of the National Academy of Sciences

Their frequent coauthors include Maria Bauzá, Siyuan Dong, Antonia Bronars, Sangwoon Kim, and Ian Taylor, reflecting ongoing collaborative efforts within the robotics community.

Alberto Rodriguez's research appears regularly in a diverse set of venues, notably arXiv, where they have 13 publications. Other frequent publication venues include The International Journal of Robotics Research with 5 papers, the 2022 International Conference on Robotics and Automation (ICRA) with 4 papers, Science Robotics with 2 papers, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) with 2 papers.

Their body of work integrates practical and theoretical aspects of robotics, addressing challenges related to manipulation, sensory feedback, and learning algorithms. This integration supports advances in both hardware capabilities and control strategies in robotic systems.

Best Publications

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning

    Andy Zeng;Shuran Song;Stefan Welker;Johnny Lee

  • Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

    Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

  • Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching:

    Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

  • Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

    Andy Zeng;Kuan-Ting Yu;Shuran Song;Daniel Suo

  • TossingBot: Learning to Throw Arbitrary Objects With Residual Physics

    Andy Zeng;Shuran Song;Johnny Lee;Alberto Rodriguez

  • iNeRF: Inverting Neural Radiance Fields for Pose Estimation

    Lin Yen-Chen;Pete Florence;Jonathan T. Barron;Alberto Rodriguez

  • Extrinsic dexterity: In-hand manipulation with external forces

    Nikhil Chavan Dafle;Alberto Rodriguez;Robert Paolini;Bowei Tang

  • From caging to grasping

    Alberto Rodriguez;Matthew T Mason;Steve Ferry

  • GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger

    Elliott Donlon;Siyuan Dong;Melody Liu;Jianhua Li

  • Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

    Unknown

  • Cable manipulation with a tactile-reactive gripper:

    Yu She;Shaoxiong Wang;Siyuan Dong;Neha Sunil

  • GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger.

    Ian Taylor;Siyuan Dong;Alberto Rodriguez

  • More than a million ways to be pushed. A high-fidelity experimental dataset of planar pushing

    Kuan-Ting Yu;Maria Bauza;Nima Fazeli;Alberto Rodriguez

  • Dense Tactile Force Estimation using GelSlim and inverse FEM

    Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez

  • On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward.

    Hee Sun Choi;Cindy Crump;Christian Duriez;Asher Elmquist

  • See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion

    N. Fazeli;M. Oller;J. Wu;Z. Wu

  • Prehensile pushing: In-hand manipulation with push-primitives

    Nikhil Chavan-Dafle;Alberto Rodriguez

  • Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing

    Anurag Ajay;Jiajun Wu;Nima Fazeli;Maria Bauza

  • Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations

    Francois R. Hogan;Maria Bauza;Oleguer Canal;Elliott Donlon

  • A probabilistic data-driven model for planar pushing

    Maria Bauza;Alberto Rodriguez

  • Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

    Siyuan Dong;Devesh K. Jha;Diego Romeres;Sangwoon Kim

  • Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM.

    Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez

Frequent Co-Authors

Matthew T. Mason
Matthew T. Mason Carnegie Mellon University
Shuran Song
Shuran Song Stanford University
Joshua B. Tenenbaum
Joshua B. Tenenbaum MIT
Leslie Pack Kaelbling
Leslie Pack Kaelbling MIT
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Tomas Lozano-Perez
Tomas Lozano-Perez MIT
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Jiajun Wu
Jiajun Wu Stanford University
Edward H. Adelson
Edward H. Adelson MIT
Oliver Brock
Oliver Brock Technical University of Berlin

External Links

Personal website of Alberto Rodriguez

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Best Scientists Citing Alberto Rodriguez

Ken Goldberg

Ken Goldberg

University of California, Berkeley

Publications: 47

Kensuke Harada

Kensuke Harada

Osaka University

Publications: 41

Sergey Levine

Sergey Levine

University of California, Berkeley

Publications: 40

Danica Kragic

Danica Kragic

Royal Institute of Technology

Publications: 33

Russ Tedrake

Russ Tedrake

MIT

Publications: 32

Silvio Savarese

Silvio Savarese

Stanford University

Publications: 29

Kostas E. Bekris

Kostas E. Bekris

Rutgers, The State University of New Jersey

Publications: 28

Aaron M. Dollar

Aaron M. Dollar

Yale University

Publications: 25

Matthew T. Mason

Matthew T. Mason

Carnegie Mellon University

Publications: 24

Chelsea Finn

Chelsea Finn

Stanford University

Publications: 24

Shuran Song

Shuran Song

Stanford University

Publications: 23

Yuke Zhu

Yuke Zhu

The University of Texas at Austin

Publications: 20

Jeannette Bohg

Jeannette Bohg

Stanford University

Publications: 19

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 18

Dieter Fox

Dieter Fox

University of Washington

Publications: 17

Siddhartha S. Srinivasa

Siddhartha S. Srinivasa

University of Washington

Publications: 16

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