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D-Index & Metrics

Mathematics

D-Index
56
Citations
11576
World Ranking
735
National Ranking
363

Lothar Reichel 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 Lothar Reichel 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: 82 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: 365 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Lothar Reichel 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 Lothar Reichel 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: 137 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: 56 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Lothar Reichel is affiliated with Kent State University in the United States. Their research spans multiple fields with a significant focus on mathematics, computer science, and physics and astronomy. Within these broad areas, their work extensively covers several subfields, including computational theory and mathematics, statistical and nonlinear physics, mathematical physics, atomic and molecular physics and optics, and applied mathematics.

The scientist's research interests are reflected in the main topics they have contributed to over the years. These include matrix theory and algorithms, numerical methods in inverse problems, electromagnetic scattering and analysis, complex network analysis techniques, iterative methods for nonlinear equations, mathematical functions and polynomials, and sparse and compressive sensing techniques.

Lothar Reichel has published in various journals, frequently contributing to the following publication venues:

  • Applied Numerical Mathematics
  • Journal of Computational and Applied Mathematics
  • arXiv (Cornell University)
  • Numerical Algorithms
  • Numerical Linear Algebra with Applications

Their recent papers demonstrate a strong engagement with numerical methods and tensor equations, including but not limited to:

  • "Iterative Tikhonov regularization of tensor equations based on the Arnoldi process and some of its generalizations," 2020, Applied Numerical Mathematics
  • "Golub-Kahan bidiagonalization for ill-conditioned tensor equations with applications," 2020, Numerical Algorithms
  • "Averaged Gauss quadrature formulas: Properties and applications," 2022, Journal of Computational and Applied Mathematics
  • "A new representation of generalized averaged Gauss quadrature rules," 2020, Applied Numerical Mathematics
  • "The tensor Golub-Kahan-Tikhonov method applied to the solution of ill-posed problems with a t-product structure," 2021, Numerical Linear Algebra with Applications

Collaboration is a notable aspect of their academic work. Frequent co-authors include Silvia Noschese, Alessandro Buccini, Miodrag M. Spalević, Omar De la Cruz Cabrera, and Dušan Lj. Djukić.

Best Publications

  • Tikhonov regularization and the L-curve for large discrete ill-posed problems

    D. Calvetti;S. Morigi;L. Reichel;F. Sgallari

  • Augmented Implicitly Restarted Lanczos Bidiagonalization Methods

    James Baglama;Lothar Reichel

  • AN IMPLICITLY RESTARTED LANCZOS METHOD FOR LARGE SYMMETRIC EIGENVALUE PROBLEMS

    D. Calvetti;L. Reichel;D. C. Sorensen

  • Krylov-subspace methods for the Sylvester equation

    D.Y. Hu;L. Reichel

  • Tridiagonal Toeplitz matrices: properties and novel applications

    Silvia Noschese;Lionello Pasquini;Lothar Reichel

  • Application of ADI Iterative Methods to the Restoration of Noisy Images

    D. Calvetti;L. Reichel

  • Old and new parameter choice rules for discrete ill-posed problems

    Lothar Reichel;Giuseppe Rodriguez

  • Adaptively Preconditioned GMRES Algorithms

    J. Baglama;D. Calvetti;G. H. Golub;L. Reichel

  • Eigenvalues and pseudo-eigenvalues of Toeplitz matrices

    Lothar Reichel;Lloyd N. Trefethen

  • TIKHONOV REGULARIZATION OF LARGE LINEAR PROBLEMS

    Daniela Calvetti;Lothar Reichel

  • A Newton basis GMRES implementation

    Z. Bai;D. Hu;L. Reichel

  • Error Estimates and Evaluation of Matrix Functions via the Faber Transform

    Bernhard Beckermann;Lothar Reichel

  • A Hybrid GMRES algorithm for nonsymmetric linear systems

    Noël M. Nachtigal;Lothar Reichel;Lloyd N. Trefethen

  • Computation of Gauss-Kronrod of quadrature rules

    D. Calvetti;G. H. Golub;W. B. Gragg;L. Reichel

  • Estimation of the L-Curve via Lanczos Bidiagonalization

    D. Calvetti;G. H. Golub;L. Reichel

  • Newton interpolation at Leja points

    L. Reichel

  • On the regularizing properties of the GMRES method

    Daniela Calvetti;Bryan Lewis;Lothar Reichel

  • GMRES-type methods for inconsistent systems

    D. Calvetti;B. Lewis;L. Reichel

  • A new Tikhonov regularization method

    Martin Fuhry;Lothar Reichel

  • GMRES, L-Curves, and Discrete Ill-Posed Problems

    D. Calvetti;B. Lewis;L. Reichel

  • Fast Leja points.

    J. Baglama;D. Calvetti;L. Reichel

Frequent Co-Authors

Daniela Calvetti
Daniela Calvetti Case Western Reserve University
Gene H. Golub
Gene H. Golub Stanford University
Zhong-Zhi Bai
Zhong-Zhi Bai Chinese Academy of Sciences
Francisco Marcellán
Francisco Marcellán Carlos III University of Madrid
Lloyd N. Trefethen
Lloyd N. Trefethen University of Oxford
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Danny C. Sorensen
Danny C. Sorensen Rice University
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
Yousef Saad
Yousef Saad University of Minnesota
Oleg D. Lavrentovich
Oleg D. Lavrentovich Kent State University

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