World's Best Scientists 2026 revealed!
Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
10975
World Ranking
4500
National Ranking
1291

Baskar Ganapathysubramanian publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Baskar Ganapathysubramanian sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 359 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Baskar Ganapathysubramanian D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Baskar Ganapathysubramanian sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Baskar Ganapathysubramanian is affiliated with Iowa State University in the United States and has a research focus spanning engineering and agricultural and biological sciences. Their scholarly output includes 169 publications in engineering and 112 in agricultural and biological sciences. Within these broader areas, key subfields of study include plant science, computational mechanics, materials chemistry, ecology, and electrical and electronic engineering.

The scientist's research topics cover a variety of contemporary scientific challenges, primarily centered on agriculture and computational methods. Notable themes in their work include smart agriculture and artificial intelligence, remote sensing in agriculture, soybean genetics and cultivation, advanced numerical methods in computational mathematics, machine learning in materials science, lattice Boltzmann simulation studies, and spectroscopy and chemometric analyses.

Frequent collaborators in their research include Adarsh Krishnamurthy, Soumik Sarkar, Talukder Z. Jubery, Aditya Balu, and Asheesh K. Singh, reflecting substantial interdisciplinary and team-based research efforts.

Their recent publications illustrate diverse methodological approaches and applications:

  • "Nanoscale control of internal inhomogeneity enhances water transport in desalination membranes," 2020, Science
  • "Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping," 2020, Trends in Plant Science
  • "Crop yield prediction integrating genotype and weather variables using deep learning," 2021, PLoS ONE
  • "Computer vision and machine learning enabled soybean root phenotyping pipeline," 2020, Plant Methods
  • "UAS-Based Plant Phenotyping for Research and Breeding Applications," 2021, Plant Phenomics

Their research has been published across multiple venues, with high productivity in arXiv (Cornell University), SSRN Electronic Journal, Zenodo (CERN European Organization for Nuclear Research), The Plant Phenome Journal, and Plant Phenomics.

Best Publications

  • Machine Learning for High-Throughput Stress Phenotyping in Plants

    Arti Singh;Baskar Ganapathysubramanian;Asheesh Kumar Singh;Soumik Sarkar

  • Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

    Asheesh Kumar Singh;Baskar Ganapathysubramanian;Soumik Sarkar;Arti Singh

  • An explainable deep machine vision framework for plant stress phenotyping.

    Sambuddha Ghosal;David Blystone;Asheesh K. Singh;Baskar Ganapathysubramanian

  • Sparse grid collocation schemes for stochastic natural convection problems

    Baskar Ganapathysubramanian;Nicholas Zabaras

  • Plant disease identification using explainable 3D deep learning on hyperspectral images

    Koushik Nagasubramanian;Sarah Jones;Asheesh K. Singh;Soumik Sarkar

  • Nanoscale control of internal inhomogeneity enhances water transport in desalination membranes

    Tyler E. Culp;Biswajit Khara;Kaitlyn P. Brickey;Michael Geitner

  • A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.

    Hsiang Sing Naik;Jiaoping Zhang;Alec Lofquist;Teshale Assefa

  • Engineering fluid flow using sequenced microstructures

    Hamed Amini;Elodie Sollier;Elodie Sollier;Mahdokht Masaeli;Mahdokht Masaeli;Yu Xie

  • Challenges and Opportunities in Machine-Augmented Plant Stress Phenotyping.

    Arti Singh;Sarah Jones;Baskar Ganapathysubramanian;Soumik Sarkar

  • A weakly supervised deep learning framework for sorghum head detection and counting

    Sambuddha Ghosal;Bangyou Zheng;Scott C. Chapman;Scott C. Chapman;Andries B. Potgieter

  • Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem

    Olga Wodo;Baskar Ganapathysubramanian

  • Genome-wide association analysis of seedling root development in maize (Zea mays L.)

    Jordon Pace;Candice Gardner;Cinta Romay;Baskar Ganapathysubramanian

  • Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

    Johnathon Shook;Tryambak Gangopadhyay;Linjiang Wu;Baskar Ganapathysubramanian

  • Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

    Koushik Nagasubramanian;Sarah Jones;Soumik Sarkar;Asheesh K. Singh

  • Enhanced charge separation in organic photovoltaic films doped with ferroelectric dipoles

    Kanwar S. Nalwa;John A. Carr;Rakesh C. Mahadevapuram;Hari K. Kodali

  • Modeling diffusion in random heterogeneous media : Data-driven models, stochastic collocation and the variational multiscale method

    Baskar Ganapathysubramanian;Nicholas Zabaras

  • Modeling morphology evolution during solvent-based fabrication of organic solar cells

    Olga Wodo;Baskar Ganapathysubramanian

  • Analysis of maize (Zea mays L.) seedling roots with the high-throughput image analysis tool ARIA (Automatic Root Image Analysis).

    Jordon Pace;Nigel Lee;Hsiang Sing Naik;Baskar Ganapathysubramanian

  • Vertical Phase Separation in Small Molecule:Polymer Blend Organic Thin Film Transistors Can Be Dynamically Controlled

    Kui Zhao;Olga Wodo;Olga Wodo;Dingding Ren;Hadayat Ullah Khan

  • Computer vision and machine learning enabled soybean root phenotyping pipeline

    Kevin G. Falk;Talukder Z. Jubery;Seyed V. Mirnezami;Kyle A. Parmley

  • A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach

    N. Zabaras;B. Ganapathysubramanian

Frequent Co-Authors

Soumik Sarkar
Soumik Sarkar Iowa State University
Asheesh K. Singh
Asheesh K. Singh Iowa State University
Dino Di Carlo
Dino Di Carlo University of California, Los Angeles
Nicholas Zabaras
Nicholas Zabaras University of Notre Dame
Patrick S. Schnable
Patrick S. Schnable Iowa State University
Ming-Chen Hsu
Ming-Chen Hsu Iowa State University
Krishna Rajan
Krishna Rajan University at Buffalo, State University of New York
Thomas Lübberstedt
Thomas Lübberstedt Iowa State University
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Venkat Ganesan
Venkat Ganesan The University of Texas at Austin

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