Andrej Pázman

835 total citations
54 papers, 436 citations indexed

About

Andrej Pázman is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Andrej Pázman has authored 54 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 19 papers in Computational Theory and Mathematics and 19 papers in Statistics and Probability. Recurrent topics in Andrej Pázman's work include Optimal Experimental Design Methods (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Advanced Statistical Methods and Models (15 papers). Andrej Pázman is often cited by papers focused on Optimal Experimental Design Methods (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Advanced Statistical Methods and Models (15 papers). Andrej Pázman collaborates with scholars based in Slovakia, France and Austria. Andrej Pázman's co-authors include Luc Pronzato, Werner G. Müller, Jean‐Baptiste Denis, Valerii V. Fedorov, Jean-Pierre Gauchi, P. Lichard, P. Prešnajder, J.B. Denis, S. K. Katti and Lubomı́r Kubáček and has published in prestigious journals such as Technometrics, Nuclear Physics B and The Annals of Statistics.

In The Last Decade

Andrej Pázman

48 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrej Pázman Slovakia 10 207 164 154 133 67 54 436
Justus Seely United States 12 199 1.0× 64 0.4× 378 2.5× 40 0.3× 45 0.7× 28 590
Viatcheslav B. Melas Russia 18 505 2.4× 402 2.5× 140 0.9× 156 1.2× 50 0.7× 65 711
Song-Gui Wang China 11 52 0.3× 64 0.4× 214 1.4× 59 0.4× 20 0.3× 47 355
J. Kleffe Germany 11 87 0.4× 20 0.1× 270 1.8× 58 0.4× 33 0.5× 35 504
Norbert Gaffke Germany 14 275 1.3× 215 1.3× 125 0.8× 82 0.6× 28 0.4× 40 481
Tarmo Pukkila Finland 13 65 0.3× 48 0.3× 214 1.4× 36 0.3× 95 1.4× 34 452
Nobuo Shinozaki Japan 13 30 0.1× 75 0.5× 174 1.1× 37 0.3× 20 0.3× 39 397
Tõnu Kollo Estonia 10 41 0.2× 49 0.3× 323 2.1× 50 0.4× 34 0.5× 25 576
Jaap Geluk Netherlands 12 294 1.4× 26 0.2× 221 1.4× 42 0.3× 116 1.7× 39 746
Scott A. Starks United States 9 39 0.2× 94 0.6× 35 0.2× 82 0.6× 35 0.5× 70 322

Countries citing papers authored by Andrej Pázman

Since Specialization
Citations

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

Fields of papers citing papers by Andrej Pázman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrej Pázman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Pázman. A scholar is included among the top collaborators of Andrej Pázman 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 Andrej Pázman. Andrej Pázman 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.
Pázman, Andrej, et al.. (2022). A convex approach to optimum design of experiments with correlated observations. Electronic Journal of Statistics. 16(2). 1 indexed citations
2.
Pázman, Andrej, et al.. (2016). Optimal design of experiments via linear programming. Statistical Papers. 57(4). 893–910. 8 indexed citations
3.
Pázman, Andrej. (2010). Information contained in design points of experiments with correlated observations. Kybernetika. 46(4). 771–783. 5 indexed citations
4.
Pázman, Andrej. (2007). Criteria for optimal design of small-sample experiments with correlated observations. Kybernetika. 43(4). 453–462. 28 indexed citations
5.
Pronzato, Luc & Andrej Pázman. (2001). Using densities of estimators to compare pharmacokinetic experiments. Computers in Biology and Medicine. 31(3). 179–195. 2 indexed citations
6.
Pázman, Andrej & Jean‐Baptiste Denis. (1999). Bias of LS estimators in nonlinear regression models with constraints. Part I: General Case. Applications of Mathematics. 44(5). 359–374. 6 indexed citations
7.
Pázman, Andrej. (1992). A classification of nonlinear regression models and parameter confidence regions. Kybernetika. 28(6). 444–453. 3 indexed citations
8.
Pázman, Andrej & Luc Pronzato. (1992). Nonlinear experimental design based on the distribution of estimators. Journal of Statistical Planning and Inference. 33(3). 385–402. 14 indexed citations
9.
Pázman, Andrej. (1990). Almost exact distributions of estimators I-low dimensional nonlinear regression. Statistics. 21(1). 9–19. 4 indexed citations
10.
Pázman, Andrej. (1988). Distribution of the weighted L.S. estimates in nonlinear models with symmetrical errors. Kybernetika. 24(6). 413–427. 2 indexed citations
11.
Pázman, Andrej. (1988). Geometrické metody v matematickej štatistike. 33(6). 314–326.
12.
Pázman, Andrej. (1986). On the uniqueness of the M. L. estimates in curved exponential families. Kybernetika. 22(2). 124–132. 3 indexed citations
13.
Pázman, Andrej. (1984). PROBABILITY DISTRIBUTION OF THE MULTIVARIATE NONLINEAR LEAST SQUARES ESTIMATES. Kybernetika. 20(3). 209–230. 23 indexed citations
14.
Pázman, Andrej. (1982). Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals. Kybernetika. 18(5). 376–396. 6 indexed citations
15.
Pázman, Andrej. (1981). Optimal designs for the estimation of polynomial functionals.. Kybernetika. 17. 16–31.
16.
Pázman, Andrej. (1980). Some features of the optimal design theory – a survey. Series Statistics. 11(3). 415–446. 6 indexed citations
17.
Pázman, Andrej. (1978). Hilbert-space methods in experimental design. Kybernetika. 14(2). 73–84. 7 indexed citations
18.
Pázman, Andrej. (1976). Optimum experimental designs with a lack of a priori information. II. Designs for the estimation of the whole response function.. Kybernetika. 12. 7–14. 1 indexed citations
19.
Pázman, Andrej. (1974). The ordering of experimental designs. A Hilbert space approach. Kybernetika. 10(5). 373–388. 5 indexed citations
20.
Pázman, Andrej. (1974). A Convergence Theorem in the Theory of $D$-Optimum Experimental Designs. The Annals of Statistics. 2(1). 14 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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