World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8850
World Ranking
12392
National Ranking
5022

Sucharita Gopal 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 Sucharita Gopal 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Sucharita Gopal 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 Sucharita Gopal 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Sucharita Gopal is affiliated with Boston University in the United States. Their research primarily spans the fields of Environmental Science and Social Sciences, with a particular emphasis on subfields such as Global and Planetary Change, Ecology, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, and Building and Construction.

The scientist has contributed to multiple research topics, including:

  • Coastal and Marine Management
  • Energy, Environment, and Transportation Policies
  • Energy and Environment Impacts
  • Land Use and Ecosystem Services
  • Conservation, Biodiversity, and Resource Management
  • Health disparities and outcomes
  • FinTech, Crowdfunding, Digital Finance

Sucharita Gopal's recent published papers include:

  • Feedbacks among electric vehicle adoption, charging, and the cost and installation of rooftop solar photovoltaics, 2021, Nature Energy
  • Seeing the invisible: From imagined to virtual urban landscapes, 2020, Cities
  • Analysis of Land Use and Land Cover Changes through the Lens of SDGs in Semarang, Indonesia, 2022, Sustainability
  • Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability, 2020, Frontiers in Big Data
  • The Deforestation and Biodiversity Risks of Power Plant Projects in Southeast Asia: A Big Data Spatial Analytical Framework, 2023, Sustainability

Their frequent coauthors include:

  • J.P. Pitts
  • Les Kaufman
  • Magaly Koch
  • Yaxiong Ma
  • Joshua Pitts

The main venues where Sucharita Gopal publishes work are:

  • Sustainability
  • Nature Energy
  • Cities
  • Frontiers in Big Data
  • Rehabilitation Research Policy and Education

In addition to journal articles, Sucharita Gopal has authored books published by Springer International Publishing. Notably, they contributed to "The FinTech Revolution" published in 2024.

Best Publications

  • Global land cover mapping from MODIS: algorithms and early results

    M.A Friedl;D.K McIver;J.C.F Hodges;X.Y Zhang

  • Theory and methods for accuracy assessment of thematic maps using fuzzy sets

    S. Gopal;C. Woodcock

  • The accuracy of spatial databases

    Michael F. Goodchild;Sucharita Gopal

  • Remote sensing of forest change using artificial neural networks

    S. Gopal;C. Woodcock

  • ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data

    G.A. Carpenter;M.N. Gjaja;S. Gopal;C.E. Woodcock

  • Fuzzy set theory and thematic maps: accuracy assessment and area estimation

    Curtis E. Woodcock;Sucharita Gopal

  • Mapping forest vegetation using landsat TM imagery and a canopy reflectance model

    Curtis E. Woodcock;John B. Collins;Sucharita Gopal;Vida D. Jakabhazy

  • ARTIFICIAL NEURAL NETWORKS: A NEW APPROACH TO MODELING INTERREGIONAL TELECOMMUNICATION FLOWS*

    Manfred M. Fischer;Sucharita Gopal

  • Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America.

    D. Muchoney;J. Borak;H. Chi;M. Friedl

  • A Neural Network Method for Efficient Vegetation Mapping

    Gail A. Carpenter;Sucharita Gopal;Scott Macomber;Siegfried Martens

  • Forest mapping with a generalized classifier and Landsat TM data

    Mary Pax-Lenney;Curtis E Woodcock;Scott A Macomber;Sucharita Gopal

  • Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia

    Asnakew K Yeshiwondim;Sucharita Gopal;Afework T Hailemariam;Dereje O Dengela

  • Fuzzy Neural Network Classification of Global Land Cover from a 1° AVHRR Data Set

    Sucharita Gopal;Curtis E. Woodcock;Alan H. Strahler

  • Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing

    Junchang Ju;Eric D Kolaczyk;Sucharita Gopal

  • A Neural Network Method for Mixture Estimation for Vegetation Mapping

    Gail A. Carpenter;Sucharita Gopal;Scott Macomber;Siegfried Martens

  • Spatial Interpolation of Surface Air Temperatures Using Artificial Neural Networks: Evaluating Their Use for Downscaling GCMs

    Seth E. Snell;Sucharita Gopal;Robert K. Kaufmann

  • Navigator: A psychologically based model of environmental learning through navigation

    Sucharita Gopal;Roberta L. Klatzky;Terence R. Smith

  • On the choice of spatial and categorical scale in remote sensing land cover classification

    Junchang Ju;Sucharita Gopal;Eric D. Kolaczyk

  • A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data

    M. A. Friedl;C. Woodcock;S. Gopal;D. Muchoney

  • Change Detection Using Adaptive Fuzzy Neural Networks

    A.A. Abuelgasim;W.D. Ross;S. Gopal;C.E. Woodcock

  • Uncertainty and Confidence in Land Cover Classification Using a Hybrid Classifier Approach

    Weiguo Liu;Sucharita Gopal;Curtis E. Woodcock

Frequent Co-Authors

Curtis E. Woodcock
Curtis E. Woodcock Boston University
Manfred M. Fischer
Manfred M. Fischer Vienna University of Economics and Business
Alan H. Strahler
Alan H. Strahler Boston University
Robert K. Kaufmann
Robert K. Kaufmann Boston University
Gail A. Carpenter
Gail A. Carpenter Boston University
Eric D. Kolaczyk
Eric D. Kolaczyk McGill University
Mark A. Friedl
Mark A. Friedl Boston University
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Les Kaufman
Les Kaufman Boston University
Terence R. Smith
Terence R. Smith University of California, Santa Barbara

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of online degrees and career pathways. For those interested in expanding their expertise, consider exploring the online theoretical physics degree, which combines analytical thinking with advanced technical skills.

Another popular direction is data science. The data science learning path can lead to roles in big data analysis, artificial intelligence, and predictive modeling—all highly sought after within the tech industry.

Aspiring engineers can benefit from information about electrical engineering online tuition costs, helping you make informed decisions about balancing educational investment with career potential.

If you’re looking for specialized skills with a faster return on investment, there are plenty of easy certifications to get which can boost your employability without the need for an extensive degree.

Exploring these related online degrees and certifications can help shape a flexible and rewarding career in the broader field of computer science.

Best Scientists Citing Sucharita Gopal

Trending Scientists

Recently Published Articles