World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7941
World Ranking
9634
National Ranking
4082

Ashok Samal 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 Ashok Samal 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Ashok Samal 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 Ashok Samal 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Ashok Samal is affiliated with the University of Nebraska-Lincoln in the United States. Their research spans across multiple fields, mainly in Agricultural and Biological Sciences and Computer Science. Within these domains, the focus areas include Plant Science, Ecology, Signal Processing, Environmental Engineering, and Cognitive Neuroscience.

The scientist's work concentrates on Smart Agriculture and AI, Remote Sensing in Agriculture, Leaf Properties and Growth Measurement, Neural Networks and Applications, Neural Dynamics and Brain Function, Data Management and Algorithms, and Remote Sensing and LiDAR Applications.

Ashok Samal has collaborated frequently with several researchers, including Sruti Das Choudhury, Tala Awada, Rubi Quiñones, Francisco Muñoz-Arriola, and Jacob Williams.

Their recent scholarly output includes papers such as:

  • Comparative evaluation of machine learning models for groundwater quality assessment (2020), published in Environmental Monitoring and Assessment
  • Leveraging Image Analysis to Compute 3D Plant Phenotypes Based on Voxel-Grid Plant Reconstruction (2020), published in Frontiers in Plant Science
  • Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping (2021), published in PLoS ONE
  • FlowerPhenoNet: Automated Flower Detection from Multi-View Image Sequences Using Deep Neural Networks for Temporal Plant Phenotyping Analysis (2022), published in Remote Sensing
  • Drought stress prediction and propagation using time series modeling on multimodal plant image sequences (2023), published in Frontiers in Plant Science

Key venues that have published their work multiple times include Frontiers in Plant Science, Zenodo (CERN European Organization for Nuclear Research), Remote Sensing, GeoInformatica, and ACM Transactions on Spatial Algorithms and Systems.

Best Publications

  • Automatic recognition and analysis of human faces and facial expressions: a survey

    Ashok Samal;Prasana A. Iyengar

  • Plant species identification using Elliptic Fourier leaf shape analysis

    João Camargo Neto;George E. Meyer;David D. Jones;Ashok K. Samal

  • Distributed group key management scheme for secure many-to-many communication

    Lakshminath R. Dondeti;Sarit Mukherjee;Ashok Samal

  • Visible/near-infrared hyperspectral imaging for beef tenderness prediction

    Govindarajan Konda Naganathan;Lauren M. Grimes;Jeyamkondan Subbiah;Chris R. Calkins

  • HGA: A Hardware-Based Genetic Algorithm

    Stephen D. Scott;Ashok Samal;Shared Seth

  • A feature-based approach to conflation of geospatial sources

    Ashok Samal;Sharad C. Seth;Kevin Cueto

  • Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios

    Kendra Schmid;David Marx;Ashok Samal

  • A simple method for fitting of bounding rectangle to closed regions

    D. Chaudhuri;A. Samal

  • Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques

    D. Chaudhuri;N. K. Kushwaha;A. Samal

  • How effective are landmarks and their geometry for face recognition

    J. Shi;A. Samal;D. Marx

  • Dual encryption protocol for scalable secure group communication

    Lakshminath R. Dondeti;Sarit Mukherjee;Ashok Samal

  • Trend Analysis of Streamflow Drought Events in Nebraska

    Hong Wu;Leen-Kiat Soh;Ashok K Samal;Xun Hong Chen

  • Scalable secure one-to-many group communication using dual encryption

    L. R. Dondeti;S. Mukherjee;A. Samal

  • Comparative evaluation of machine learning models for groundwater quality assessment.

    Shine Bedi;Ashok Samal;Chittaranjan Ray;Daniel Snow

  • Optical scattering in beef steak to predict tenderness using hyperspectral imaging in the VIS-NIR region

    Kim Cluff;Govindarajan Konda Naganathan;Jeyamkondan Subbiah;Renfu Lu

  • A system for recognizing a large class of engineering drawings

    Yuhong Yu;A. Samal;S.C. Seth

  • An Automatic Bridge Detection Technique for Multispectral Images

    D. Chaudhuri;A. Samal

  • A dual encryption protocol for scalable secure multicasting

    L.R. Dondeti;S. Mukherjee;A. Samal

  • Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction

    Govindarajan Konda Naganathan;Lauren M. Grimes;Jeyamkondan Subbiah;Chris R. Calkins

  • Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray Variance

    D. Chaudhuri;N. K. Kushwaha;A. Samal;R. C. Agarwal

Frequent Co-Authors

Chris R. Calkins
Chris R. Calkins University of Nebraska–Lincoln
Scott Lyell Gardner
Scott Lyell Gardner University of Nebraska–Lincoln
George Nagy
George Nagy Rensselaer Polytechnic Institute
Frank Rudzicz
Frank Rudzicz University of Toronto
Gui-Song Xia
Gui-Song Xia Wuhan University
Shannon L. Bartelt-Hunt
Shannon L. Bartelt-Hunt University of Nebraska–Lincoln
Michael J. Hayes
Michael J. Hayes University of Nebraska–Lincoln
Daniel D. Snow
Daniel D. Snow University of Nebraska–Lincoln
Brian H. Bornstein
Brian H. Bornstein Arizona State University
Adam T. Clare
Adam T. Clare University of Nottingham

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