Andrzej Pacut

52 papers receiving 253 citations

Peers

Andrzej Pacut
Comparison fields: 5 of 75
  • Signal Processing 52
  • Computer Networks and Communications 77
  • Computer Vision and Pattern Recognition 60
  • Statistics, Probability and Uncertainty 16
  • Cognitive Neuroscience 36
Replace José M. Claver with:
José M. Claver Spain
Joachim K. Anlauf Germany
Marc Reichenbach Germany
Tuomo Sipola Finland
Christian Hentschel Germany
Greg Aloupis Belgium
Ben Yuhas United States
Nandhini Chandramoorthy United States
Belgacem Hamdi Tunisia
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Countries citing papers authored by Andrzej Pacut

Since Specialization
Citations

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

Fields of papers citing papers by Andrzej Pacut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Andrzej Pacut, 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 Andrzej Pacut Line = papers co-authored together Andrzej Pacut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199626
2 198223
3 200321
4 200217
5 197715
6 201910
7 200510
8 19809
9 19988
10 20028
11 19987
12 20087
13
How to use the Mann-Whitney test to detect a change in distribution for groups.
19877
14 20026
15 19885
16 20185
17 20025
18 20214
19 20084
20 20184

About Andrzej Pacut

Andrzej Pacut is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 57 papers that have together received 279 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Advanced Electrical Measurement Techniques (8 papers), Analog and Mixed-Signal Circuit Design (8 papers), Sensor Technology and Measurement Systems (8 papers), Neural Networks and Applications (5 papers), Fault Detection and Control Systems (5 papers), Face recognition and analysis (5 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Signal Processing (52 citations), Computer Networks and Communications (77 citations), Computer Vision and Pattern Recognition (60 citations), Statistics, Probability and Uncertainty (16 citations) and Cognitive Neuroscience (36 citations). Andrzej Pacut has collaborated with scholars based in Poland, United States and Iran. Frequent co-authors include Adam Czajka, Harold J. Kushner, Mohammadreza Azimi, Paweł Wawrzyński, Włodek Tych, Oscar Miguel‐Hurtado, Tomasz Lehmann and Amir Said. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Computer Standards & Interfaces, Biological Cybernetics, IEEE Transactions on Automatic Control and Computers & Electrical Engineering.

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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