Andrej Pázman

840 citations
54 papers · 437 · h-index 11

Impact in

Papers in

Andrej Pázman

48 papers receiving 384 citations

Peers

Andrej Pázman
Comparison fields: 5 of 71
  • Statistics and Probability 154
  • Statistics, Probability and Uncertainty 131
  • Management Science and Operations Research 205
  • Computational Theory and Mathematics 162
  • Analytical Chemistry 35
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Citations per year

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-authors

The 15 scholars most cited alongside Andrej Pázman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrej Pázman Line = papers co-authored together Andrej Pázman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201391
2 199340
3
Criteria for optimal design of small-sample experiments with correlated observations
200728
4
PROBABILITY DISTRIBUTION OF THE MULTIVARIATE NONLINEAR LEAST SQUARES ESTIMATES
198423
5 200119
6 199918
7 196816
8 197414
9 199214
10 198414
11 199910
12 19989
13 20168
14 19908
15
Hilbert-space methods in experimental design
19787
16 20047
17 19877
18 19806
19
Geometry of Gaussian nonlinear regression. Parallel curves and confidence intervals
19826
20 20046

About Andrej Pázman

Andrej Pázman is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 54 papers that have together received 437 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Advanced Statistical Methods and Models (15 papers), Spectroscopy and Chemometric Analyses (8 papers), Control Systems and Identification (6 papers), Probabilistic and Robust Engineering Design (5 papers), Advanced Statistical Process Monitoring (5 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Statistics and Probability (154 citations), Statistics, Probability and Uncertainty (131 citations), Management Science and Operations Research (205 citations), Computational Theory and Mathematics (162 citations) and Analytical Chemistry (35 citations). Andrej Pázman has collaborated with scholars based in Slovakia, France and Austria. Frequent co-authors include Luc Pronzato, Werner G. Müller, Valerii V. Fedorov, Jean‐Baptiste Denis, Jean-Pierre Gauchi, P. Prešnajder, S. K. Katti, P. Lichard, J.B. Denis and J. Pišút. Their work appears in journals such as Kybernetika, Journal of Statistical Planning and Inference, The Annals of Statistics, Statistical Papers and Nuclear Physics B.

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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