Radoslav Harman

616 total citations
31 papers, 329 citations indexed

About

Radoslav Harman is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Radoslav Harman has authored 31 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 19 papers in Computational Theory and Mathematics and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Radoslav Harman's work include Optimal Experimental Design Methods (21 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Manufacturing Process and Optimization (6 papers). Radoslav Harman is often cited by papers focused on Optimal Experimental Design Methods (21 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Manufacturing Process and Optimization (6 papers). Radoslav Harman collaborates with scholars based in Slovakia, Austria and United Kingdom. Radoslav Harman's co-authors include Guillaume Sagnol, Luc Pronzato, Peter Richtárik, Mariano Amo‐Salas, Vanesa Ortega‐López, F.W. Fairman, Jiří Tuček, Thomas Klein, Werner G. Müller and David R. Woods and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Radoslav Harman

27 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radoslav Harman Slovakia 10 200 187 109 43 41 31 329
Raymond K. W. Wong United States 10 28 0.1× 33 0.2× 37 0.3× 29 0.7× 124 3.0× 27 328
Evgenija D. Popova Bulgaria 11 16 0.1× 279 1.5× 95 0.9× 82 1.9× 27 0.7× 47 338
Milan Dražić Serbia 9 23 0.1× 83 0.4× 6 0.1× 27 0.6× 6 0.1× 24 277
Şahin Emrah Amrahov Türkiye 10 66 0.3× 35 0.2× 13 0.1× 82 1.9× 177 4.3× 30 289
Carl A. Schweiger United States 5 34 0.2× 265 1.4× 15 0.1× 216 5.0× 6 0.1× 7 527
Aleksandr Moiseevich Rubinov Australia 5 21 0.1× 214 1.1× 10 0.1× 56 1.3× 28 0.7× 6 363
Vladimir G. Boltyanski Mexico 10 18 0.1× 147 0.8× 7 0.1× 150 3.5× 6 0.1× 32 466
Jiří Očenášek Czechia 6 18 0.1× 100 0.5× 7 0.1× 18 0.4× 5 0.1× 8 282
Márton Balázs Hungary 7 8 0.0× 245 1.3× 5 0.0× 38 0.9× 130 3.2× 18 530
Zhicheng Gao Canada 18 26 0.1× 267 1.4× 4 0.0× 6 0.1× 46 1.1× 84 742

Countries citing papers authored by Radoslav Harman

Since Specialization
Citations

This map shows the geographic impact of Radoslav Harman'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 Radoslav Harman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radoslav Harman more than expected).

Fields of papers citing papers by Radoslav Harman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radoslav Harman. 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 Radoslav Harman. The network helps show where Radoslav Harman may publish in the future.

Co-authorship network of co-authors of Radoslav Harman

This figure shows the co-authorship network connecting the top 25 collaborators of Radoslav Harman. A scholar is included among the top collaborators of Radoslav Harman 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 Radoslav Harman. Radoslav Harman 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.
Harman, Radoslav, et al.. (2024). Mixed-integer linear programming for computing optimal experimental designs. Journal of Statistical Planning and Inference. 234. 106200–106200.
2.
Harman, Radoslav, et al.. (2024). The polytope of optimal approximate designs: extending the selection of informative experiments. Statistics and Computing. 34(6).
3.
Harman, Radoslav & Werner G. Müller. (2020). A design criterion for symmetric model discrimination based on flexible nominal sets. Biometrical Journal. 62(4). 1090–1104. 2 indexed citations
4.
Harman, Radoslav, Werner G. Müller, & David R. Woods. (2019). Editorial for the special issue mODa12: Advances in Model-Oriented Design and Analysis. Statistical Papers. 60(2). 351–354.
5.
Harman, Radoslav, et al.. (2018). Removal of the points that do not support an E-optimal experimental design. Statistics & Probability Letters. 147. 83–89.
6.
Harman, Radoslav, et al.. (2018). A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments. Journal of the American Statistical Association. 115(529). 348–361. 28 indexed citations
7.
Harman, Radoslav, et al.. (2016). Barycentric algorithm for computing D-optimal size- and cost-constrained designs of experiments. Metrika. 80(2). 201–225. 7 indexed citations
8.
Harman, Radoslav. (2015). Multiplicative methods for computing D-optimal stratified designs of experiments. Quality Engineering. 60(1). 67–68. 1 indexed citations
9.
Harman, Radoslav, et al.. (2015). Construction of efficient experimental designs under multiple resource constraints. Applied Stochastic Models in Business and Industry. 32(1). 3–17. 8 indexed citations
10.
Sagnol, Guillaume & Radoslav Harman. (2015). Computing exact $D$-optimal designs by mixed integer second-order cone programming. The Annals of Statistics. 43(5). 44 indexed citations
11.
Harman, Radoslav, et al.. (2013). Computing efficient exact designs of experiments using integer quadratic programming. Computational Statistics & Data Analysis. 71. 1159–1167. 16 indexed citations
12.
Harman, Radoslav, et al.. (2011). A conditional distribution approach to uniform sampling on spheres and balls in Lp spaces. Metrika. 75(7). 939–951. 3 indexed citations
13.
Amo‐Salas, Mariano, et al.. (2011). A new model for predicting the flight activity of Lobesia botrana (Lepidoptera: Tortricidae). Crop Protection. 30(12). 1586–1593. 25 indexed citations
14.
Harman, Radoslav, et al.. (2010). On decompositional algorithms for uniform sampling from n-spheres and n-balls. Journal of Multivariate Analysis. 101(10). 2297–2304. 40 indexed citations
15.
Harman, Radoslav, et al.. (2009). Approximate D-optimal designs of experiments on the convex hull of a finite set of information matrices. Mathematica Slovaca. 59(6). 693–704. 19 indexed citations
16.
Harman, Radoslav & Luc Pronzato. (2007). Improvements on removing non-optimal support points in D-optimum design algorithms. ArXiv.org. 3 indexed citations
17.
Harman, Radoslav & Luc Pronzato. (2006). Improvements on removing nonoptimal support points in -optimum design algorithms. Statistics & Probability Letters. 77(1). 90–94. 36 indexed citations
18.
Harman, Radoslav, et al.. (2003). Rate coding: neurobiological network performing detection of the difference between mean spiking rates. Acta Neurobiologiae Experimentalis. 63(2). 83–98. 1 indexed citations
19.
Harman, Radoslav, et al.. (1992). Transmission coefficients of asymmetrical rectangular double barrier structures. physica status solidi (a). 131(1). 161–166. 1 indexed citations
20.
Harman, Radoslav & F.W. Fairman. (1973). Exponential approximation via closed-form Gauss-Newton method. IEEE Transactions on Circuit Theory. 20(4). 361–369. 9 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.

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