World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
19904
World Ranking
2431
National Ranking
1218

Alan M. MacEachren 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 Alan M. MacEachren 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Alan M. MacEachren 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 Alan M. MacEachren 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: 65 D-Index — 83rd percentile

83% 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

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Alan M. MacEachren is affiliated with Pennsylvania State University in the United States and has contributed extensively to research in areas intersecting computer science and social sciences. Their work spans multiple subfields including computer vision and pattern recognition, geography, planning and development, signal processing, transportation, and communication.

The scientist's main topics of research include:

  • Data Visualization and Analytics
  • Geographic Information Systems Studies
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Web Data Mining and Analysis
  • Urban Transport and Accessibility
  • Data-Driven Disease Surveillance

Recent publications by Alan M. MacEachren cover a variety of subjects within these topics. Selected recent papers include:

  • "Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data", 2020, International Journal of Geographical Information Systems
  • "The geography of sentiment towards the Women's March of 2017", 2020, PLoS ONE
  • "GeoLinter: A Linting Framework for Choropleth Maps", 2023, IEEE Transactions on Visualization and Computer Graphics
  • "Comparison of font size and background color strategies for tag weights on tag maps", 2023, Cartography and Geographic Information Science
  • "Utility and usability of intrinsic tag maps", 2020, Cartography and Geographic Information Science

Publication venues frequently featuring their work include:

  • Cartography and Geographic Information Science
  • Transactions in GIS
  • International Journal of Geographical Information Systems
  • IEEE Transactions on Visualization and Computer Graphics
  • PLoS ONE

Alan M. MacEachren has collaborated regularly with a set of coauthors, reflecting interdisciplinary research efforts. Frequent coauthors include:

  • Nai Yang
  • Scott Pezanowski
  • Prasenjit Mitra
  • Lei Fan
  • Arlen Fan

The scientist's contributions have been formally recognized with the award of Fellow of the American Association for the Advancement of Science (AAAS) in 2013.

Best Publications

  • How Maps Work: Representation, Visualization, and Design

    Alan M. MacEachren

  • Research challenges in geovisualization

    Alan M. MacEachren;Menno-Jan Kraak

  • Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

    Alan M. MacEachren;Anthony Robinson;Susan Hopper;Steven Gardner

  • Animation and the Role of Map Design in Scientific Visualization

    David DiBiase;Alan M. MacEachren;John B. Krygier;Catherine Reeves

  • Exploratory cartographic visualization: advancing the agenda

    Alan M. MacEachren;Menno-Jan Kraak

  • Geovisual analytics for spatial decision support: Setting the research agenda

    G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

  • VISUALIZING UNCERTAIN INFORMATION

    Alan M. MacEachren

  • Visualization in Modern Cartography: Setting the Agenda

    Alan M. Maceachren

  • Visualization in modern cartography

    Alan M. MacEachren;D. R. F. Taylor

  • SensePlace2: GeoTwitter analytics support for situational awareness

    Alan M. MacEachren;Anuj Jaiswal;Anthony C. Robinson;Scott Pezanowski

  • A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)

    D. Guo;J. Chen;A.M. MacEachren;K. Liao

  • Some Truth With Maps: A Primer on Symbolization and Design

    Alan MacEachren

  • Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods

    Alan M. MacEachren;Monica Wachowicz;Robert M. Edsall;Daniel Haug

  • Geovisualization for knowledge construction and decision support

    A.M. MacEachren;M. Gahegan;W. Pike;I. Brewer

  • Visual Semiotics a Uncertainty Visualization: An Empirical Study

    A. M. MacEachren;R. E. Roth;J. O'Brien;B. Li

  • A Typology for Visualizing Uncertainty

    Judi R. Thomson;Elizabeth G. Hetzler;Alan MacEachren;Mark N. Gahegan

  • Developing a conceptual framework for visually-enabled geocollaboration

    Alan M. MacEachren;Isaac Brewer

  • Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality

    Jin Chen;Robert E Roth;Adam T Naito;Eugene J Lengerich

  • A PATTERN IDENTIFICATION APPROACH TO CARTOGRAPHIC VISUALIZATION

    Alan M Maceachren;John H Ganter

  • It’s a long, long walk: accessibility to hospitals, maternity and integrated health centers in Niger

    Justine I Blanford;Supriya Kumar;Wei Luo;Alan M MacEachren

  • Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach

    Diansheng Guo;Mark Gahegan;Alan M. MacEachren;Biliang Zhou

Frequent Co-Authors

Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Menno-Jan Kraak
Menno-Jan Kraak University of Twente
Mark Gahegan
Mark Gahegan University of Auckland
Brent Yarnal
Brent Yarnal Pennsylvania State University
Jason Dykes
Jason Dykes City, University of London
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Daniel B. Carr
Daniel B. Carr Tufts University
Craig Meyers
Craig Meyers Pennsylvania State University

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