Michael Minkoff

1.7k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Michael Minkoff is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michael Minkoff has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 9 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Michael Minkoff's work include Advanced Chemical Physics Studies (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Matrix Theory and Algorithms (7 papers). Michael Minkoff is often cited by papers focused on Advanced Chemical Physics Studies (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Matrix Theory and Algorithms (7 papers). Michael Minkoff collaborates with scholars based in United States, Indonesia and Israel. Michael Minkoff's co-authors include Albert F. Wagner, Donald L. Thompson, Melita L. Morton, Kaizar Amin, Sandra Bittner, Reinhardt Pinzón, Sandeep Nijsure, Branko Ruščić, Richard Dawes and Yin Guo and has published in prestigious journals such as The Journal of Chemical Physics, Journal of The Electrochemical Society and Journal of Computational Physics.

In The Last Decade

Michael Minkoff

28 papers receiving 1.3k citations

Hit Papers

Introduction to Active Thermochemical Tables:  Several “K... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Minkoff United States 16 815 421 296 259 224 28 1.3k
J. M. C. Marques Portugal 22 908 1.1× 336 0.8× 427 1.4× 403 1.6× 259 1.2× 81 1.6k
Rubén Meana‐Pañeda United States 20 633 0.8× 356 0.8× 220 0.7× 393 1.5× 361 1.6× 30 1.5k
Jeremiah J Wilke United States 14 704 0.9× 364 0.9× 325 1.1× 111 0.4× 313 1.4× 38 1.6k
Yury V. Suleimanov United States 25 1.6k 2.0× 310 0.7× 442 1.5× 338 1.3× 84 0.4× 54 2.0k
Kleber C. Mundim Brazil 23 652 0.8× 497 1.2× 180 0.6× 107 0.4× 345 1.5× 83 2.0k
Frank C. Pickard United States 20 588 0.7× 286 0.7× 188 0.6× 90 0.3× 246 1.1× 39 1.2k
Emilio Martínez‐Núñez Spain 26 1.4k 1.8× 470 1.1× 888 3.0× 464 1.8× 254 1.1× 118 2.3k
R. Sumathi India 22 691 0.8× 455 1.1× 236 0.8× 511 2.0× 554 2.5× 61 1.6k
Minghui Yang China 28 2.0k 2.5× 499 1.2× 1.1k 3.6× 372 1.4× 124 0.6× 130 2.7k
Robert W. Carr United States 27 592 0.7× 534 1.3× 485 1.6× 481 1.9× 206 0.9× 111 1.9k

Countries citing papers authored by Michael Minkoff

Since Specialization
Citations

This map shows the geographic impact of Michael Minkoff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Minkoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Minkoff more than expected).

Fields of papers citing papers by Michael Minkoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Minkoff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Minkoff. The network helps show where Michael Minkoff may publish in the future.

Co-authorship network of co-authors of Michael Minkoff

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Minkoff. A scholar is included among the top collaborators of Michael Minkoff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Minkoff. Michael Minkoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dawes, Richard, et al.. (2009). Interpolating moving least-squares methods for fitting potential energy surfaces: Using classical trajectories to explore configuration space. The Journal of Chemical Physics. 130(14). 144107–144107. 43 indexed citations
2.
Kaushik, Dinesh, William Gropp, Michael Minkoff, & Barry Smith. (2008). Improving the performance of tensor matrix vector multiplication in cumulative reaction probability based quantum chemistry codes. IEEE International Conference on High Performance Computing, Data, and Analytics. 120–130. 3 indexed citations
3.
Dawes, Richard, Donald L. Thompson, Albert F. Wagner, & Michael Minkoff. (2008). Interpolating moving least-squares methods for fitting potential energy surfaces: A strategy for efficient automatic data point placement in high dimensions. The Journal of Chemical Physics. 128(8). 84107–84107. 94 indexed citations
4.
Tokmakov, I. V., Albert F. Wagner, Michael Minkoff, & Donald L. Thompson. (2007). Gradient incorporation in one-dimensional applications of interpolating moving least-squares methods for fitting potential energy surfaces. Theoretical Chemistry Accounts. 118(4). 755–767. 11 indexed citations
5.
Shepard, Ron, Michael Minkoff, & Scott R. Brozell. (2007). Nonlinear wave function expansions: A progress report. International Journal of Quantum Chemistry. 107(15). 3203–3218. 21 indexed citations
6.
Tokmakov, I. V., et al.. (2006). Interpolating moving least-squares methods for fitting potential-energy surfaces: Further improvement of efficiency via cutoff strategies. The Journal of Chemical Physics. 124(5). 54105–54105. 22 indexed citations
7.
Shepard, Ron & Michael Minkoff. (2006). Optimization of nonlinear wave function parameters. International Journal of Quantum Chemistry. 106(15). 3190–3207. 30 indexed citations
8.
Zhou, Yunkai, Ron Shepard, & Michael Minkoff. (2005). Computing eigenvalue bounds for iterative subspace matrix methods. Computer Physics Communications. 167(2). 90–102. 8 indexed citations
9.
Shepard, Ron, Michael Minkoff, & Yunkai Zhou. (2005). Software for computing eigenvalue bounds for iterative subspace matrix methods. Computer Physics Communications. 170(1). 109–114. 3 indexed citations
10.
Maisuradze, Gia G., et al.. (2004). Interpolating moving least-squares methods for fitting potential energy surfaces: Analysis of an application to a six-dimensional system. The Journal of Chemical Physics. 121(21). 10329–10338. 40 indexed citations
11.
Guo, Yin, et al.. (2004). Interpolating moving least-squares methods for fitting potential energy surfaces: Applications to classical dynamics calculations. The Journal of Chemical Physics. 121(11). 5091–5097. 56 indexed citations
12.
Guo, Yin, et al.. (2004). Improving the accuracy of interpolated potential energy surfaces by using an analytical zeroth-order potential function. The Journal of Chemical Physics. 120(14). 6414–6422. 29 indexed citations
13.
Shepard, Ron, Albert F. Wagner, Jeffrey L. Tilson, & Michael Minkoff. (2001). The Subspace Projected Approximate Matrix (SPAM) Modification of the Davidson Method. Journal of Computational Physics. 172(2). 472–514. 11 indexed citations
14.
Stefan, Ionel C., Yuriy V. Tolmachev, Zoltán Nagy, et al.. (2001). Theoretical Analysis of the Pulse-Clamp Method as Applied to Neural Stimulating Electrodes. Journal of The Electrochemical Society. 148(2). E73–E73. 8 indexed citations
15.
Tadmor, Yaakov, Olga Larkov, Ayala Meir, et al.. (2000). Reversed-phase high performance liquid chromatographic determination of vitamin E components in maize kernels. Phytochemical Analysis. 11(6). 370–374. 22 indexed citations
16.
Minkoff, Michael. (1987). Approaches to optimization/simulation problems. Applied Numerical Mathematics. 3(5). 453–466. 6 indexed citations
17.
Hively, L.M., et al.. (1983). Optimization of a Bundle Divertor For the Fusion Engineering Device. Nuclear Technology - Fusion. 3(2). 280–286. 3 indexed citations
18.
Dongarra, Jack, G. K. Leaf, & Michael Minkoff. (1981). A Preconditioned Conjugate Gradient Method for Solving a Class of Non-Symmetric Linear Systems. International Journal of Biological Macromolecules. 43(4). 339–45. 4 indexed citations
19.
Garbow, B. S., et al.. (1980). LCLSQ: An Implementation of an Algorithm for Linearly Constrained Linear Least-Squares Problems. University of North Texas Digital Library (University of North Texas). 4 indexed citations
20.
Hillstrom, K. E., et al.. (1980). Solution of the General Nonlinear Programming Problem with Subroutine VMCOM. University of North Texas Digital Library (University of North Texas). 34 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026