World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4111
World Ranking
12757
National Ranking
5148

Raghu Machiraju 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 Raghu Machiraju 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Raghu Machiraju 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 Raghu Machiraju 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

Raghu Machiraju is affiliated with The Ohio State University in the United States. Their research work spans multiple fields, primarily focusing on Biochemistry, Genetics and Molecular Biology, with 19 publications, and Medicine, with 9 publications. The subfields of their research include Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Neurology, and Plant Science.

The main topics covered in their work are diverse and include Metabolomics and Mass Spectrometry Studies, Gene Expression and Cancer Classification, Bioinformatics and Genomic Networks, AI in Cancer Detection, Prostate Cancer Treatment and Research, Radiomics and Machine Learning in Medical Imaging, and Glioma Diagnosis and Treatment.

Raghu Machiraju has published in various scientific venues, with frequent contributions to bioRxiv (Cold Spring Harbor Laboratory) totaling three publications, Neuro-Oncology with two publications, and individual papers appearing in Metabolites, ACS Nano, and Scientific Reports.

Recent papers authored or co-authored include:

  • Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources, 2020, Metabolites
  • Autonomous Computing Materials, 2021, ACS Nano
  • Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing, 2020, Scientific Reports
  • AZGP1 deficiency promotes angiogenesis in prostate cancer, 2024, Journal of Translational Medicine
  • Creating intelligent cyberinfrastructure for democratizing AI, 2024, AI Magazine

The researcher has collaborated frequently with several co-authors, including Tara Eicher, Ewy A. Mathé, Jany Chan, Aline Paixão Becker, and Sanghee Cho. Tara Eicher appears as a co-author on six occasions, Ewy A. Mathé and Jany Chan on five each, Aline Paixão Becker on four, and Sanghee Cho on three.

Best Publications

  • The transfer function bake-off

    H. Pfister;B. Lorensen;C. Bajaj;G. Kindlmann

  • 14 – Detection and Visualization of Vortices

    Ming Jiang;Raghu Machiraju;David S. Thompson

  • Evaluation and design of filters using a Taylor series expansion

    T. Moller;R. Machiraju;K. Mueller;R. Yagel

  • Coverage optimization to support security monitoring

    Alan T. Murray;Kamyoung Kim;James W. Davis;Raghu Machiraju

  • Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources

    Tara Eicher;Tara Eicher;Garrett Kinnebrew;Andrew Patt;Andrew Patt;Kyle Spencer

  • A comparison of normal estimation schemes

    Torsten Möller;Raghu Machiraju;Klaus Mueller;Roni Yagel

  • A novel approach to vortex core region detection

    Ming Jiang;Raghu Machiraju;David Thompson

  • Model-based 3D face capture with shape-from-silhouettes

    B. Moghaddam;J. Lee;H. Pfister;Raghu Machiraju

  • Salient iso-surface detection with model-independent statistical signatures

    Shivaraj Tenginakai;Jinho Lee;Raghu Machiraju

  • Steering Image Generation with Wavelet Based Perceptual Metric

    Ajeetkumar Gaddipatti;Raghu Machiraju;Roni Yagel

  • Geometric verification of swirling features in flow fields

    Ming Jiang;Raghu Machiraju;David Thompson

  • A bilinear illumination model for robust face recognition

    J. Lee;B. Moghaddam;H. Pfister;R. Machiraju

  • Analysis of live cell images: Methods, tools and opportunities.

    Thomas A. Nketia;Heba Sailem;Gustavo Rohde;Raghu Machiraju

  • Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging.

    Firdaus Janoos;Kishore Mosaliganti;Xiaoyin Xu;Xiaoyin Xu;Raghu Machiraju

  • Reconstruction error characterization and control: a sampling theory approach

    R. Machiraju;R. Yagel

  • Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks.

    Pacharmon Kaewprag;Cheryl Newton;Brenda Vermillion;Brenda Vermillion;Sookyung Hyun

  • Finding optimal views for 3D face shape modeling

    Jinho Lee;B. Moghaddam;H. Pfister;R. Machiraju

  • Design of accurate and smooth filters for function and derivative reconstruction

    Unknown

  • An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols

    Chaitanya Kulkarni;Wei Xu;Alan Ritter;Raghu Machiraju

  • Design of accurate and smooth filters for function and derivative reconstruction

    Torsten Möller;Klaus Mueller;Yair Kurzion;Raghu Machiraju

  • Path-based control of smoke simulations

    Yootai Kim;Raghu Machiraju;David Thompson

  • Silhouette-Based 3D Face Shape Recovery

    Jinho Lee;Baback Moghaddam;Hanspeter Pfister;Raghu Machiraju

  • Microscopic Image Analysis for Life Science Applications

    Jens Rittscher;Raghu Machiraju;Stephen T. C. Wong

Frequent Co-Authors

Gustavo Leone
Gustavo Leone Medical University of South Carolina
Roni Yagel
Roni Yagel InSightec (Israel)
Hanspeter Pfister
Hanspeter Pfister Harvard University
Jens Rittscher
Jens Rittscher University of Oxford
Joel H. Saltz
Joel H. Saltz Stony Brook University
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Torsten Möller
Torsten Möller University of Vienna
Alain de Bruin
Alain de Bruin Utrecht University
Michael V. Knopp
Michael V. Knopp The Ohio State University Wexner Medical Center
Alan Ritter
Alan Ritter Georgia Institute of Technology

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