Viktor Witkovský

1.6k citations
98 papers · 1.2k · h-index 17

Impact in

Papers in

Viktor Witkovský

83 papers receiving 1.1k citations

Peers

Viktor Witkovský
Comparison fields: 5 of 133
  • Statistics and Probability 155
  • Statistics, Probability and Uncertainty 110
  • Sensory Systems 62
  • Cognitive Neuroscience 229
  • Physiology 189
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Citations per field
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Citations per year

Countries citing papers authored by Viktor Witkovský

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Witkovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Viktor Witkovský, 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 Viktor Witkovský Line = papers co-authored together Viktor Witkovský links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015188
2 2008136
3 2009135
4
Computing the Distribution of a Linear Combination of Inverted Gamma Variables
200169
5 201650
6 202143
7 201240
8 202138
9 201432
10 200129
11 201727
12
Significance of amino acid substitution variants of DNA repair genes in radiosusceptibility of cervical cancer patients; a pilot study.
200826
13 201625
14 201923
15
Radiosensitivity of peripheral blood lymphocytes from healthy donors and cervical cancer patients; the correspondence of in vitro data with the clinical outcome.
200819
16 200317
17 201516
18 200014
19 200214
20 202013

About Viktor Witkovský

Viktor Witkovský is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Control and Systems Engineering, Computer Networks and Communications and Cognitive Neuroscience, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (28 papers), Advanced Statistical Methods and Models (23 papers), Fault Detection and Control Systems (13 papers), Sensor Technology and Measurement Systems (11 papers), Advanced Measurement and Metrology Techniques (10 papers), Statistical Distribution Estimation and Applications (9 papers), Pain Mechanisms and Treatments (8 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Statistics and Probability (155 citations), Statistics, Probability and Uncertainty (110 citations), Sensory Systems (62 citations), Cognitive Neuroscience (229 citations) and Physiology (189 citations). Viktor Witkovský has collaborated with scholars based in Slovakia, Germany and Czechia. Frequent co-authors include Gejza Wimmer, Enrico Schulz, Anne Stankewitz, Paul J. Schmidt, Laura Tiemann, Markus Ploner, Moritz M. Nickel, Joachim Groß, Elisabeth S. May and Konrad Schwarz. Their work appears in journals such as Kybernetika, Journal of Statistical Computation and Simulation, Measurement Science and Technology, Journal of Breath Research and Journal of Statistical Planning and Inference.

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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