World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7521
World Ranking
8376
National Ranking
505

Alexis J. Comber 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 Alexis J. Comber 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Alexis J. Comber 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 Alexis J. Comber 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Alexis J. Comber is affiliated with the University of Leeds in the United Kingdom. Their research primarily spans Environmental Science and Social Sciences, with a significant focus on specialized subfields including Transportation, Economics and Econometrics, Global and Planetary Change, Ocean Engineering, and Environmental Engineering.

The researcher's work covers a range of topics, prominently featuring Land Use and Ecosystem Services, Spatial and Panel Data Analysis, Transportation Planning and Optimization, Human Mobility and Location-Based Analysis, Urban Transport and Accessibility, Evacuation and Crowd Dynamics, and Economic and Environmental Valuation.

Recent publications by Alexis J. Comber include:

  • A Route Map for Successful Applications of Geographically Weighted Regression, 2022, Geographical Analysis
  • Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems, 2020, Computers Environment and Urban Systems
  • Mapping the transcriptome: Realizing the full potential of spatial data analysis, 2023, Cell
  • Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics, 2020, Landscape and Urban Planning
  • Driving Factors of Land Change in China's Loess Plateau: Quantification Using Geographically Weighted Regression and Management Implications, 2020, Remote Sensing

Frequent collaborators include Chris Brunsdon, Nick Malleson, Paul Harris, Minh Kieu, and Quang-Thanh Bui.

Their work is often published in venues such as AGILE GIScience Series, Zenodo (CERN European Organization for Nuclear Research), Geographical Analysis, arXiv (Cornell University), and ISPRS International Journal of Geo-Information.

Best Publications

  • Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups

    Alexis J. Comber;Chris. Brunsdon;Edmund. Green

  • A critical synthesis of remotely sensed optical image change detection techniques

    Andrew P. Tewkesbury;Andrew P. Tewkesbury;Alexis J. Comber;Nicholas J. Tate;Alistair Lamb

  • Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information

    Linda See;Peter Mooney;Giles Foody;Lucy Bastin

  • A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

    Alexis John Comber;Chris Brunsdon;Robert Radburn

  • Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

    Sybrand van Beijma;Sybrand van Beijma;Alexis Comber;Alistair Lamb

  • Spatial analysis of remote sensing image classification accuracy

    Alexis Comber;Peter Fisher;Chris Brunsdon;Abdulhakim Khmag

  • What is Land Cover

    Alexis J. Comber;Peter F. Fisher;Richard A. Wadsworth

  • Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects

    Yanjiao Ren;Yihe Lü;Alexis Comber;Bojie Fu

  • Comparing the quality of crowdsourced data contributed by expert and non-experts.

    Linda See;Alexis John Comber;Carl Salk;Carl Salk;Steffen Fritz

  • A route map for successful applications of Geographically Weighted Regression

    Alexis Comber;Chris Brunsdon;Martin Charlton;Guanpeng Dong

  • A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile

    Yuanxuan Yang;Alison J. Heppenstall;Andy Turner;Alexis J. Comber

  • Half century change of interactions among ecosystem services driven by ecological restoration: Quantification and policy implications at a watershed scale in the Chinese Loess Plateau.

    Ying Luo;Yihe Lü;Bojie Fu;Qiuju Zhang

  • A GIS model for mapping spatial patterns and distribution of wild land in Scotland

    Steve Carver;Alexis J. Comber;Rob McMorran;Steve Nutter

  • Using control data to determine the reliability of volunteered geographic information about land cover

    Alexis J. Comber;Linda M. See;Steffen Fritz;Marijn Van der Velde

  • Using genetic algorithms to optimise current and future health planning--the example of ambulance locations.

    Satoshi Sasaki;Alexis J Comber;Hiroshi Suzuki;Chris Brunsdon

  • Building a hybrid land cover map with crowdsourcing and geographically weighted regression

    Linda See;Dmitry Schepaschenko;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Integrating land-cover data with different ontologies: identifying change from inconsistency

    Alexis J. Comber;Peter F. Fisher;Richard A. Wadsworth

  • A Comparison of Fuzzy AHP and Ideal Point Methods for Evaluating Land Suitability

    Mukhtar Elaalem;Alexis J. Comber;Peter F. Fisher

  • Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply

    Alexis Comber;Jennifer Dickie;Claire Jarvis;Martin Phillips

  • Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems

    Yuanxuan Yang;Yuanxuan Yang;Alison J. Heppenstall;Andy Turner;Alexis J. Comber

  • Approaches to Uncertainty in Spatial Data

    Peter Fisher;Alexis Comber;Richard Wadsworth

Frequent Co-Authors

Peter Fisher
Peter Fisher University of Liverpool
Yihe Lü
Yihe Lü Chinese Academy of Sciences
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Linda See
Linda See International Institute for Applied Systems Analysis
Bojie Fu
Bojie Fu Peking University
Giles M. Foody
Giles M. Foody University of Nottingham
Heiko Balzter
Heiko Balzter University of Leicester
Marijn van der Velde
Marijn van der Velde European Commission Joint Research Centre
Hiroshi Suzuki
Hiroshi Suzuki Niigata University
Melanie J. Davies
Melanie J. Davies University of Leicester

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Related Online Degrees & Career Pathways

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