World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
6362
World Ranking
2065
National Ranking
878

Engineering and Technology

D-Index
45
Citations
7787
World Ranking
5499
National Ranking
1538

Kyle A. Gallivan publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Kyle A. Gallivan sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 159 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Kyle A. Gallivan D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Kyle A. Gallivan sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Kyle A. Gallivan is affiliated with Florida State University in the United States. Their research primarily focuses on the field of Computer Science, with significant contributions spanning several subfields. These subfields include Artificial Intelligence, Statistical and Nonlinear Physics, Numerical Analysis, Computational Theory and Mathematics, and Computational Mechanics.

The scientist's research encompasses a variety of main topics, notably Sparse and Compressive Sensing Techniques, Complex Network Analysis Techniques, Advanced Optimization Algorithms Research, Matrix Theory and Algorithms, Advanced Clustering Algorithms Research, Iterative Methods for Nonlinear Equations, and Bayesian Methods and Mixture Models.

Recent publications by Kyle A. Gallivan include:

  • "A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy" (2022) in Journal of Scientific Computing
  • "Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method" (2020) in Numerical Linear Algebra with Applications
  • "Riemannian gradient descent methods for graph-regularized matrix completion" (2020) in Linear Algebra and its Applications
  • "Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers" (2024) in Journal of Computational and Graphical Statistics
  • "A drift homotopy implicit particle filter method for nonlinear filtering problems" (2021) in Discrete and Continuous Dynamical Systems - S

Frequent co-authors who have collaborated extensively with Kyle A. Gallivan include:

  • Wen Huang
  • Paul Van Dooren
  • Jeremy M. Brown
  • James C. Wilgenbusch
  • Meng Wei

The scientist publishes regularly in various academic venues, with repeated contributions in:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • IFAC-PapersOnLine
  • Faculty of 1000 Research Ltd
  • Numerical Linear Algebra with Applications

Best Publications

  • Strategies for cache and local memory management by global program transformation

    Dennis Gannon;William Jalby;Kyle Gallivan

  • Trust-Region Methods on Riemannian Manifolds

    P.-A. Absil;C. G. Baker;K. A. Gallivan

  • The gSOAP Toolkit for Web Services and Peer-to-Peer Computing Networks

    R.A. Van Engelen;K.A. Gallivan

  • Optimal linear representations of images for object recognition

    Xiuwen Liu;A. Srivastava;K. Gallivan

  • Parallel algorithms for dense linear algebra computations

    K. A. Gallivan;R. J. Plemmons;A. H. Sameh

  • A rational Lanczos algorithm for model reduction

    K. Gallivan;E Grimme;Paul Van Dooren

  • Asymptotic Waveform Evaluation via a Lanczos Method

    Kyle Gallivan;Eric Grimme;Paul Van Dooren

  • Model Reduction of MIMO Systems via Tangential Interpolation

    K. Gallivan;A. Vandendorpe;P. Van Dooren

  • H2-optimal model reduction of MIMO systems

    Paul Van Dooren;Kyle A. Gallivan;Pierre-Antoine Absil

  • Impact of Hierarchical Memory Systems On Linear Algebra Algorithm Design

    Kyle Gallivan;William Jalby;Ulrike Meier;Ahmed H. Sameh

  • Trust-region methods on Riemannian manifolds with applications in numerical linear algebra

    Pierre-Antoine Absil;Christopher G. Baker;Kyle A. Gallivan

  • A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

    Wen Huang;Kyle A. Gallivan;Pierre-Antoine Absil

  • Sylvester equations and projection-based model reduction

    K. Gallivan;A. Vandendorpe;P. Van Dooren

  • Efficient algorithms for inferences on Grassmann manifolds

    K.A. Gallivan;A. Srivastava;Xiuwen Liu;P. Van Dooren

  • Finding effective optimization phase sequences

    Prasad Kulkarni;Wankang Zhao;Hwashin Moon;Kyunghwan Cho

  • A method for generating rational interpolant reduced order models of two-parameter linear systems

    D.S. Weile;E. Michielssen;E. Grimme;K. Gallivan

  • Parallel Algorithms for Matrix Computations

    K. Gallivan;C. Romine;R. Plemmons;A. Sameh

  • On the problem of optimizing data transfers for complex memory systems

    K. Gallivan;W. Jalby;D. Gannon

  • A compressed sensing approach for partial differential equations with random input data

    L. Mathelin;K. A. Gallivan

  • Pade approximation of large-scale dynamic systems with Lanczos methods

    K. Gallivan;E. Grimme;P. Van Dooren

Frequent Co-Authors

Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
Ahmed Sameh
Ahmed Sameh Purdue University West Lafayette
Anuj Srivastava
Anuj Srivastava Florida State University
Xiuwen Liu
Xiuwen Liu Florida State University
Resve Saleh
Resve Saleh University of British Columbia
Allen D. Malony
Allen D. Malony University of Oregon
Ananth Grama
Ananth Grama Purdue University West Lafayette
Eric Michielssen
Eric Michielssen University of Michigan–Ann Arbor
Danny C. Sorensen
Danny C. Sorensen Rice University

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