World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13658
World Ranking
5252
National Ranking
2420

Kristin P. Bennett 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 Kristin P. Bennett 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: 167 publications — 33rd percentile

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

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

Kristin P. Bennett 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 Kristin P. Bennett 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Kristin P. Bennett is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily centers on the intersection of computer science and healthcare, with a focus on various specialized subfields and topics.

The main fields of study for this scientist include Computer Science, with significant contributions in subfields such as Artificial Intelligence, Economics and Econometrics, Molecular Biology, Statistics and Probability, and Signal Processing.

Key research topics addressed in their work comprise:

  • Machine Learning in Healthcare
  • Advanced Causal Inference Techniques
  • Health Systems, Economic Evaluations, Quality of Life
  • Health disparities and outcomes
  • Time Series Analysis and Forecasting
  • Insurance, Mortality, Demography, Risk Management
  • COVID-19 epidemiological studies

Their publication record includes contributions to a variety of venues, with frequent appearances in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Neurocomputing
  • 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • Regular and Young Investigator Award Abstracts

Recent papers authored or co-authored by this researcher are:

  • "Generation and evaluation of privacy preserving synthetic health data," 2020, Neurocomputing
  • "The Problem of Fairness in Synthetic Healthcare Data," 2021, Entropy
  • "Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Quantifying representativeness in randomized clinical trials using machine learning fairness metrics," 2021, JAMIA Open
  • "Demographic and socioeconomic determinants of access to care: A subgroup disparity analysis using new equity-focused measurements," 2023, PLoS ONE

Frequent co-authors collaborating with Kristin P. Bennett include John Erickson, Miao Qi, Isabelle Guyon, Karan Bhanot, and Oshani Seneviratne.

Best Publications

  • Semi-Supervised Support Vector Machines

    Kristin P. Bennett;Ayhan Demiriz

  • Robust linear programming discrimination of two linearly inseparable sets

    Kristin P Bennett;Olvi L Mangasarian

  • Support vector machines: hype or hallelujah?

    Kristin P. Bennett;Colin Campbell

  • Dimensionality reduction via sparse support vector machines

    Jinbo Bi;Kristin Bennett;Mark Embrechts;Curt Breneman

  • Linear Programming Boosting via Column Generation

    Ayhan Demiriz;Kristin P. Bennett;John Shawe-Taylor

  • Duality and Geometry in SVM Classifiers

    Kristin P. Bennett;Erin J. Bredensteiner

  • Multicategory Classification by Support Vector Machines

    Erin J. Bredensteiner;Kristin P. Bennett

  • Constrained K-Means Clustering

    K.P. Bennett;P.S. Bradley;A. Demiriz

  • Building Support Vector Machines with Reduced Classifier Complexity

    S. Sathiya Keerthi;Olivier Chapelle;Dennis DeCoste

  • A support vector machine approach to decision trees

    K.P. Bennett;J.A. Blue

  • A Linear Programming Approach to Novelty Detection

    Colin Campbell;Kristin P. Bennett

  • Regression error characteristic curves

    Jinbo Bi;Kristin P. Bennett

  • Exploiting unlabeled data in ensemble methods

    Kristin P. Bennett;Ayhan Demiriz;Richard Maclin

  • Multicategory discrimination via linear programming

    Kristin P Bennett;Olvi L Mangasarian

  • A Pattern Search Method for Model Selection of Support Vector Regression.

    Michinari Momma;Kristin P. Bennett

  • Prediction of protein retention times in anion-exchange chromatography systems using support vector regression.

    Minghu Song;Curt M. Breneman;Jinbo Bi;Nagamani Sukumar

  • The Interplay of Optimization and Machine Learning Research

    Kristin P. Bennett;Emilio Parrado-Hernández

  • A Genetic Algorithm for Database Query Optimization

    Kristin P. Bennett;Michael C. Ferris;Yannis E. Ioannidis

  • Identifying Mycobacterium tuberculosis complex strain families using spoligotypes.

    Inna Vitol;Jeffrey Driscoll;Barry Kreiswirth;Natalia Kurepina

  • An Optimization Perspective on Kernel Partial Least Squares Regression

    K. P. Bennett

  • Bilinear separation of two sets in n -space

    Kristin P. Bennett;O. L. Mangasarian

  • Decision Tree Construction Via Linear Programming

    Kristin P Bennett

  • Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

    Robert Grossman;Roberto Bayardo;Kristin Bennett

Frequent Co-Authors

Deborah L. McGuinness
Deborah L. McGuinness Rensselaer Polytechnic Institute
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Bülent Yener
Bülent Yener Rensselaer Polytechnic Institute
Jinbo Bi
Jinbo Bi University of Connecticut
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Steven M. Cramer
Steven M. Cramer Rensselaer Polytechnic Institute
Olvi L. Mangasarian
Olvi L. Mangasarian University of Wisconsin–Madison
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
John Shawe-Taylor
John Shawe-Taylor University College London
Nalin Rastogi
Nalin Rastogi Institut Pasteur

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