World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
22665
World Ranking
1151
National Ranking
612

Mark A. Malamud 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 Mark A. Malamud 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: 708 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Mark A. Malamud 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 Mark A. Malamud 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: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

Multimedia, World Wide Web, Artificial intelligence, Computer vision and Virtual world are his primary areas of study. His Multimedia study incorporates themes from Control and Set. Mark A. Malamud studied World Wide Web and Fingerprint that intersect with Relation and Authentication.

He interconnects Real-time computing and Resource in the investigation of issues within Artificial intelligence. His studies in Computer vision integrate themes in fields like Event and Computer program. Virtual world is the subject of his research, which falls under Human–computer interaction.

His most cited work include:

  • Method and apparatus for arranging displayed graphical representations on a computer interface (395 citations)
  • Taskbar with start menu (283 citations)
  • Computational user-health testing (278 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Multimedia, Human–computer interaction, World Wide Web, Artificial intelligence and Computer program. Mark A. Malamud connects Multimedia with Product in his study. His Human–computer interaction study often links to related topics such as User interface.

His World Wide Web research focuses on Virtual world and how it connects with Computer security. Mark A. Malamud combines subjects such as Computer vision and Natural language processing with his study of Artificial intelligence. His work deals with themes such as Carry and Data mining, which intersect with Computer program.

He most often published in these fields:

  • Multimedia (15.86%)
  • Human–computer interaction (12.82%)
  • World Wide Web (11.93%)

What were the highlights of his more recent work (between 2012-2020)?

  • Computer network (8.50%)
  • Wearable computer (4.06%)
  • Human–computer interaction (12.82%)

In recent papers he was focusing on the following fields of study:

Mark A. Malamud spends much of his time researching Computer network, Wearable computer, Human–computer interaction, World Wide Web and Subject matter. The concepts of his Computer network study are interwoven with issues in Wireless, Telecommunications, Wi-Fi array and Payment. The various areas that Mark A. Malamud examines in his Payment study include Computer security and Modality.

His Wearable computer research includes themes of Facilitation, Stimulation and Mobile device. His Human–computer interaction study integrates concerns from other disciplines, such as User interface and Electronic circuit. His World Wide Web study combines topics from a wide range of disciplines, such as Multimedia and Preference.

Between 2012 and 2020, his most popular works were:

  • Methods, systems, and devices for handling captured image data that is received by devices (156 citations)
  • Supporting antenna assembly configuration network infrastructure (112 citations)
  • Techniques for processing images (76 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Operating system
  • Artificial intelligence

His primary areas of investigation include Computer network, Subject matter, Computer hardware, Human–computer interaction and Computer vision. His research on Computer network also deals with topics like

  • Wireless and related Node,
  • Communication channel and related Set, Database, Computer security, Resource and World Wide Web. The Computer hardware study combines topics in areas such as Image, Wearable computer and Electronics.

His research in Human–computer interaction intersects with topics in Control, Electronic circuit and Preference. His studies deal with areas such as Computer program and Representation, Artificial intelligence as well as Computer vision. In his research on the topic of Computer program, Presentation is strongly related with Carry.

Best Publications

  • Method and apparatus for arranging displayed graphical representations on a computer interface

    David A. Bolnick;Hugh V. Rubin;Mark A. Malamud

  • Taskbar mit Startmenü

    Daniel P Oran;Joseph D Belfiore;Ian M Ellison-Taylor;Mark A Malamud

  • Rating notification for virtual world environment

    Edward Jung;Royce Levien;Robert Lord;Mark Malamud

  • Unmanned device interaction methods and systems

    Royce A. Levien;Richard T. Lord;Robert W. Lord;Mark A. Malamud

  • Participation profiles of virtual world players

    Edward K.Y. Jung;Royce A. Levien;Mark A. Malamud;John D. Rinaldo

  • Virtual world reversion rights

    Edward K.Y. Jung;Royce A. Levien;Robert W. Lord;Mark A. Malamud

  • Real-world incentives offered to virtual world participants

    Edward K.Y. Jung;Royce A. Levien;Robert W. Lord;Mark A. Malamud

  • Rating technique for virtual world environment

    Edward Jung;Royce Levien;Robert Lord;Mark Malamud

  • Virtual world property disposition after real-world occurrence

    Edward K. Y. Jung;Royce A. Levien;Robert W. Lord;Mark A. Malamud

  • Context sensitive menu system/menu behavior

    Mark A. Malamud;John E. Elsbree;Laura J. Butler;David A. Barnes

  • Computational user-health testing

    Edward K.Y. Jung;Eric C. Leuthardt;Royce A. Levien;Robert W. Lord

  • Device pairing via device to device contact

    Alexander J. Cohen;Edward K. Y. Jung;Royce A. Levien;Robert W. Lord

  • Correlating data indicating subjective user states associated with multiple users with data indicating objective occurrences

    Shawn P. Firminger;Jason Garms;Edward K.Y. Jung;Chris D. Karkanias

  • Context-sensitive query enrichment

    Marc E. Davis;Matthew G. Dyor;William Gates;Xuedong Huang

  • Methods, systems, and devices for handling captured image data that is received by devices

    Pablos Holman;Roderick A. Hyde;Royce A. Levien;Richard T. Lord

  • Capturing selected image objects

    Edward K. Y. Jung;Royce A. Levien;Robert W. Lord;Mark A. Malamud

  • Communicator establishing aspects with context identifying

    Edward K.Y. Jung;Eric C. Leuthardt;Royce A. Levien;Robert W. Lord

  • Attribute enhancement in virtual world environments

    Edward K. Y. Jung;Royce A. Levien;Robert W. Lord;Mark A. Malamud

  • Methods and systems for comparing media content

    Edward K.Y. Jung;Eric C. Leuthardt;Royce A. Levien;Robert W. Lord

  • Method and system for transferring data to common destinations using a common destination list

    Joseph D. Belfiore;Christopher J. Guzak;Chee Heng Chew;Mark A. Malamud

Frequent Co-Authors

Royce A. Levien
Royce A. Levien Fortress Invention
Robert W. Lord
Robert W. Lord IBM (United States)
John D. Rinaldo
John D. Rinaldo SEARETE LLC
Edward K. Y. Jung
Edward K. Y. Jung Nortel (Canada)
Richard T. Lord
Richard T. Lord Microsoft (United States)
Clarence T. Tegreene
Clarence T. Tegreene Microsoft (United States)
Roderick A. Hyde
Roderick A. Hyde Lawrence Livermore National Laboratory
Eric C. Leuthardt
Eric C. Leuthardt Washington University in St. Louis
Jordin T. Kare
Jordin T. Kare Microsoft (United States)
Elizabeth A. Sweeney
Elizabeth A. Sweeney Sweeney SciTech

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