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Computer Science

D-Index
59
Citations
12478
World Ranking
3461
National Ranking
1670

Nancy M. Amato 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 Nancy M. Amato sits on this spectrum.

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 publications 991+

This scientist: 296 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Nancy M. Amato 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 Nancy M. Amato sits on this spectrum.

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 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the algorithmic foundations of motion planning in robotics and computational biology and leadership in broadening participation in computing.
  • 2015 - ACM Fellow For contributions to robotics and leadership in broadening participation in computing.
  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - ACM Distinguished Member
  • 2010 - IEEE Fellow For contributions to the algorithmic foundations of motion planning in robotics and computational biology

Overview

Nancy M. Amato is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple fields with a primary focus on Computer Science and Engineering. Within these domains, their work extensively covers subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, and Mechanical Engineering.

The main topics addressed in Amato's research include Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Modular Robots and Swarm Intelligence, AI-based Problem Solving and Planning, Computational Geometry and Mesh Generation, Robotic Mechanisms and Dynamics, and Algorithms and Data Compression.

They have a significant publication record with many papers appearing in respected venues. Frequent publication outlets include arXiv (Cornell University) with 24 publications, IEEE Robotics and Automation Letters and IEEE Transactions on Automation Science and Engineering with 10 publications each, IEEE Robotics & Automation Magazine with 3 publications, and Foundations and Trends in Robotics with 1 publication.

Recent notable papers are:

  • A Roadmap for US Robotics - From Internet to Robotics 2020 Edition (2021, Foundations and Trends in Robotics)
  • Multi-Robot Task and Motion Planning With Subtask Dependencies (2020, IEEE Robotics and Automation Letters)
  • Representation-Optimal Multi-Robot Motion Planning Using Conflict-Based Search (2021, IEEE Robotics and Automation Letters)
  • Provably optimal parallel transport sweeps on semi-structured grids (2020, Journal of Computational Physics)
  • Parallel Hierarchical Composition Conflict-Based Search for Optimal Multi-Agent Pathfinding (2021, IEEE Robotics and Automation Letters)

Amato collaborates frequently with several researchers, including Marco Morales, James Motes, Seth Hutchinson, Venkat Krovi, and Diane Uwacu.

The scientist has received multiple awards recognizing their contributions to robotics and computing leadership. Honors include:

  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2018, for contributions to the algorithmic foundations of motion planning in robotics and computational biology and leadership in broadening participation in computing
  • ACM Fellow, 2015, for work in robotics and leadership in computing participation
  • Fellow of the American Association for the Advancement of Science (AAAS), 2013
  • ACM Distinguished Member, 2012
  • IEEE Fellow, 2010, for contributions to algorithmic foundations of motion planning in robotics and computational biology

Best Publications

  • OBPRM: an obstacle-based PRM for 3D workspaces

    Nancy M. Amato;O. Burchan Bayazit;Lucia K. Dale;Christopher Jones

  • A randomized roadmap method for path and manipulation planning

    N.M. Amato;Y. Wu

  • MAPRM: a probabilistic roadmap planner with sampling on the medial axis of the free space

    S.A. Wilmarth;N.M. Amato;P.F. Stiller

  • Approximate convex decomposition of polygons

    Jyh-Ming Lien;Nancy M. Amato

  • Choosing good distance metrics and local planners for probabilistic roadmap methods

    N.M. Amato;O.B. Bayazit;L.K. Dale;C. Jones

  • FIRM: Sampling-based feedback motion-planning under motion uncertainty and imperfect measurements

    Ali-Akbar Agha-Mohammadi;Suman Chakravorty;Nancy M Amato

  • An obstacle-based rapidly-exploring random tree

    Rodriguez;Xinyu Tang;Jyh-Ming Lien;N.M. Amato

  • Using motion planning to study protein folding pathways

    Guang Song;Nancy M. Amato

  • Using motion planning to study protein folding pathways.

    Nancy M. Amato;Guang Song

  • Approximate convex decomposition of polyhedra

    Jyh-Ming Lien;Nancy M. Amato

  • Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory

    Roger Pearce;Roger Pearce;Maya Gokhale;Nancy M. Amato

  • STAPL: an adaptive, generic parallel C++ library

    Ping An;Alin Jula;Silvius Rus;Steven Saunders

  • Using motion planning to map protein folding landscapes and analyze folding kinetics of known native structures.

    Nancy M. Amato;Ken A. Dill;Guang Song

  • Shepherding behaviors

    Jyh-Ming Lien;O.B. Bayazit;R.T. Sowell;S. Rodriguez

  • A framework for adaptive algorithm selection in STAPL

    Nathan Thomas;Gabriel Tanase;Olga Tkachyshyn;Jack Perdue

  • Simultaneous shape decomposition and skeletonization

    Jyh-Ming Lien;John Keyser;Nancy M. Amato

  • Shepherding Behaviors with Multiple Shepherds

    Jyh-Ming Lien;S. Rodriguez;J. Malric;N.M. Amato

  • Distributed reconfiguration of metamorphic robot chains

    Jennifer E. Walter;Jennifer L. Welch;Nancy M. Amato

  • A motion-planning approach to folding: from paper craft to protein folding

    Guang Song;N.M. Amato

  • Probabilistic roadmap methods are embarrassingly parallel

    N.M. Amato;L.K. Dale

Frequent Co-Authors

Lawrence Rauchwerger
Lawrence Rauchwerger University of Illinois at Urbana-Champaign
Michael T. Goodrich
Michael T. Goodrich University of California, Irvine
Martin Schulz
Martin Schulz Technical University of Munich
Jennifer L. Welch
Jennifer L. Welch Texas A&M University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Franco P. Preparata
Franco P. Preparata Brown University
Bud Mishra
Bud Mishra New York University
Maya Gokhale
Maya Gokhale Lawrence Livermore National Laboratory
Robert D. Falgout
Robert D. Falgout Lawrence Livermore National Laboratory
Peter Brown
Peter Brown University of Oxford

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