World's Best Scientists 2026 revealed!
Lane A. Hemaspaandra

Lane A. Hemaspaandra

D-Index & Metrics

Computer Science

D-Index
43
Citations
7579
World Ranking
8001
National Ranking
3442

Lane A. Hemaspaandra 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 Lane A. Hemaspaandra 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: 339 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Lane A. Hemaspaandra 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 Lane A. Hemaspaandra 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: 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.

Research.com Recognitions

  • 2007 - ACM Distinguished Member

Overview

Lane A. Hemaspaandra is affiliated with the University of Rochester in the United States and has contributed extensively to computer science research, particularly in computational theory and related fields. Their academic work spans a range of subfields including computational theory and mathematics, artificial intelligence, economics and econometrics, political science and international relations, as well as electrical and electronic engineering.

Their research covers multiple topics such as complexity and algorithms in graphs, internet traffic analysis and secure e-voting, computability, logic, and AI algorithms, game theory and voting systems, electoral systems and political participation, coding theory and cryptography, and machine learning and algorithms.

Among the recent papers authored or co-authored by Lane A. Hemaspaandra are:

  • Control in the presence of manipulators: cooperative and competitive cases, 2020, published in Autonomous Agents and Multi-Agent Systems
  • Search versus Decision for Election Manipulation Problems, 2020, published in ACM Transactions on Computation Theory
  • Polynomial-Time Multi-Selectivity, 2020, published in Zenodo (CERN European Organization for Nuclear Research)
  • The opacity of backbones, 2021, published in Information and Computation
  • Existence versus exploitation: the opacity of backdoors and backbones, 2021, published in Progress in Artificial Intelligence

Lane A. Hemaspaandra has collaborated frequently with several co-authors, including Edith Hemaspaandra, David E. Narváez, Benjamin Carleton, Michael C. Chavrimootoo, and Conor Taliancich.

The scholar has published repeatedly in notable venues such as ACM SIGACT News, arXiv (Cornell University), Autonomous Agents and Multi-Agent Systems, ACM Transactions on Computation Theory, and the Journal of Computer and System Sciences.

In recognition of their contributions to the field, Lane A. Hemaspaandra received the ACM Distinguished Member award in 2007.

Best Publications

  • How hard is bribery in elections

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra

  • Using simulated annealing to design good codes

    A.E. Gamal;L. Hemachandra;I. Shperling;V. Wei

  • Anyone but him: The complexity of precluding an alternative

    Edith Hemaspaandra;Lane A. Hemaspaandra;Jörg Rothe

  • The Boolean hierarchy I: structural properties

    Jin-Yi Cai;Thomas Gundermann;Juris Hartmanis;Lane A. Hemachandra

  • Llull and Copeland voting computationally resist bribery and constructive control

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra;Jörg Rothe

  • The Complexity Theory Companion

    Lane A. Hemaspaandra;Mitsunori Ogihara

  • Exact analysis of Dodgson elections: Lewis Carroll's 1876 voting system is complete for parallel access to NP

    Edith Hemaspaandra;Lane A. Hemaspaandra;Jörg Rothe

  • Using complexity to protect elections

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra

  • Complexity theory retrospective II

    Lane A. Hemaspaandra;Alan L. Selman

  • Multimode control attacks on elections

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra

  • The shield that never was: Societies with single-peaked preferences are more open to manipulation and control

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra;Jörg Rothe

  • Bypassing combinatorial protections: polynomial-time algorithms for single-peaked electorates

    Felix Brandt;Markus Brill;Edith Hemaspaandra;Lane A. Hemaspaandra

  • Dichotomy for voting systems

    Edith Hemaspaandra;Lane A. Hemaspaandra

  • The Boolean hierarchy II: applications

    J.-Y. Cai;T. Gundermann;G. Wechsung;J. Hartmanis

  • A Richer Understanding of the Complexity of Election Systems

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra;Joerg Rothe

  • Threshold Computation and Cryptographic Security

    Yenjo Han;Lane A. Hemaspaandra;Thomas Thierauf

  • The satanic notations: counting classes beyond #P and other definitional adventures

    Lane A. Hemaspaandra;Heribert Vollmer

  • The complexity of bribery in elections

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra

  • The complexity of manipulative attacks in nearly single-peaked electorates

    Piotr Faliszewski;Edith Hemaspaandra;Lane A. Hemaspaandra

  • The Boolean Hierarchy: Hardware over NP

    Jin-yi Cai;Lane A. Hemachandra

Frequent Co-Authors

Edith Hemaspaandra
Edith Hemaspaandra Rochester Institute of Technology
Jörg Rothe
Jörg Rothe Heinrich Heine University Düsseldorf
Piotr Faliszewski
Piotr Faliszewski AGH University of Science and Technology
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Osamu Watanabe
Osamu Watanabe Tokyo Institute of Technology
Alan L. Selman
Alan L. Selman University at Buffalo, State University of New York
Jin-Yi Cai
Jin-Yi Cai University of Wisconsin–Madison
Felix Brandt
Felix Brandt Technical University of Munich
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Vincent Conitzer
Vincent Conitzer Carnegie Mellon University

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