World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
14186
World Ranking
3246
National Ranking
1575

Sanjay Ranka 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 Sanjay Ranka 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: 457 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Sanjay Ranka 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 Sanjay Ranka 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2002 - IEEE Fellow For contributions to the theory and practice of high performance computing.

Overview

Sanjay Ranka is affiliated with the University of Florida in the United States. Their research spans multiple areas within computer science and engineering, with a focus on topics related to transportation, autonomous vehicles, and advanced computing techniques.

The main fields of study in Ranka's work include:

  • Computer Science
  • Engineering

Their research also delves into subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Building and Construction
  • Transportation
  • Automotive Engineering

Key topics addressed in Ranka's publications are:

  • Traffic Prediction and Management Techniques
  • Autonomous Vehicle Technology and Safety
  • Traffic Control and Management
  • Advanced Neural Network Applications
  • Transportation Planning and Optimization
  • Video Surveillance and Tracking Methods
  • Algorithms and Data Compression

Among the frequent publication venues where Ranka's work appears are:

  • arXiv (Cornell University)
  • Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • Applied Sciences
  • Innovation in Aging

Some of the recent papers authored or coauthored by Ranka include:

  • "Intelligent Intersection," 2020, published in ACM Transactions on Spatial Algorithms and Systems
  • "The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study," 2021, published in JMIR mhealth and uhealth
  • "Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study," 2021, published in JMIR Aging
  • "Innovations in Geroscience to enhance mobility in older adults," 2020, published in Experimental Gerontology
  • "The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study," 2020, published in JMIR mhealth and uhealth

Ranka has frequently collaborated with various researchers, including:

  • Anand Rangarajan
  • Tania Banerjee
  • Pan He
  • Yashaswi Karnati
  • Jaemoon Lee

Recognition for Ranka's contributions includes:

  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 2006
  • IEEE Fellow, awarded in 2002 for contributions to the theory and practice of high performance computing

Best Publications

  • Elements of artificial neural networks

    Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • An efficient k-means clustering algorithm

    Khaled Alsabti;Sanjay Ranka;Vineet Singh

  • Original Contribution: Forecasting the behavior of multivariate time series using neural networks

    Kanad Chakraborty;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Efficient classification for multiclass problems using modular neural networks

    R. Anand;K. Mehrotra;C.K. Mohan;S. Ranka

  • Conditional Anomaly Detection

    X. Song;M. Wu;C. Jermaine;S. Ranka

  • An efficient algorithm for the incremental updation of association rules in large databases

    Shiby Thomas;Sreenath Bodagala;Khaled Alsabti;Sanjay Ranka

  • An improved algorithm for neural network classification of imbalanced training sets

    R. Anand;K.G. Mehrotra;C.K. Mohan;S. Ranka

  • Leaf sequencing algorithms for segmented multileaf collimation.

    Srijit Kamath;Sartaj Sahni;Jonathan Li;Jatinder Palta

  • Signal control optimization for automated vehicles at isolated signalized intersections

    Zhuofei Li;Lily Elefteriadou;Sanjay Ranka

  • Applications and performance analysis of a compile-time optimization approach for list scheduling algorithms on distributed memory multiprocessors

    Yeh-Ching Chung;S. Ranka

  • CLOUDS: a decision tree classifier for large datasets

    Khaled Alsabti;Sanjay Ranka;Vineet Singh

  • Characterization of a class of sigmoid functions with applications to neural networks

    Anil Menon;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • System and Method for Improving the Performance of Electronic Media Advertising Campaigns Through Multi-Attribute Analysis and Optimization

    E. Diane Chang;Richard E. Chatwin;Sachin Kumar;Sanjay Ranka

  • Statistical change detection for multi-dimensional data

    Xiuyao Song;Mingxi Wu;Christopher Jermaine;Sanjay Ranka

  • Compiling Fortran 90D/HPF for distributed memory MIMD computers

    Zeki Bozkus;Alok Choudhary;Geoffrey Fox;Tomasz Haupt

  • Method, algorithm, and computer program for optimizing the performance of messages including advertisements in an interactive measurable medium

    Sanjay Ranka;Jason S. Lenderman;James R. Weisinger

  • Machine learning approaches for predicting high cost high need patient expenditures in health care.

    Chengliang Yang;Chris Delcher;Elizabeth Shenkman;Sanjay Ranka

  • Fortran 90D/HPF compiler for distributed memory MIMD computers: Design, implementation, and performance results

    Z. Bozkus;A. Choudhary;G. Fox;T. Haupt

  • Using game theory for scheduling tasks on multi-core processors for simultaneous optimization of performance and energy

    I. Ahmad;S. Ranka;S.U. Khan

  • Bounds on the number of samples needed for neural learning

    K.G. Mehrotra;C.K. Mohan;S. Ranka

  • A smartwatch-based framework for real-time and online assessment and mobility monitoring.

    Matin Kheirkhahan;Matin Kheirkhahan;Sanjay P. Nair;Sanjay P. Nair;Anis Davoudi;Anis Davoudi;Parisa Rashidi;Parisa Rashidi

  • An overview and classification of thermal-aware scheduling techniques for multi-core processing systems

    Hafiz Fahad Sheikh;Ishfaq Ahmad;Zhe Wang;Sanjay Ranka

Frequent Co-Authors

Sartaj Sahni
Sartaj Sahni University of Florida
Anand Rangarajan
Anand Rangarajan University of Florida
Chilukuri K. Mohan
Chilukuri K. Mohan Syracuse University
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Alok Choudhary
Alok Choudhary Northwestern University
Lily Elefteriadou
Lily Elefteriadou University of Florida
Prabhat Mishra
Prabhat Mishra University of Florida
Ishfaq Ahmad
Ishfaq Ahmad The University of Texas at Arlington
Shigang Chen
Shigang Chen University of Florida
Roger B. Fillingim
Roger B. Fillingim University of Florida

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

Exploring Computer Science often opens doors to a variety of related fields and interdisciplinary career pathways. If you are interested in environmental technology, consider programs focusing on environmental engineering degrees online. These can prepare you for roles that blend computing with sustainable solutions.

Students passionate about design, robotics, or manufacturing might also look into the cheapest online mechanical engineering degree programs. Mechanical engineering equips you with foundational knowledge applicable to AI, automation, and product development.

A solid background in physics can significantly enhance your skills in computational modeling and software development. For a strong and affordable option, discover the cheapest online physics degree programs available.

Data science has become one of the most sought-after fields for Computer Science graduates. If you aim to enter the world of big data or analytics, consider pursuing the cheapest master in data science to access cutting-edge career opportunities.

Best Scientists Citing Sanjay Ranka

Trending Scientists

Recently Published Articles