Andrzej Paszkiewicz

788 citations
70 papers · 435 · h-index 11

Impact in

Papers in

Andrzej Paszkiewicz

47 papers receiving 379 citations

Peers

Andrzej Paszkiewicz
Comparison fields: 5 of 103
  • Industrial and Manufacturing Engineering 123
  • Automotive Engineering 121
  • Human-Computer Interaction 53
  • Computer Vision and Pattern Recognition 88
  • Statistical and Nonlinear Physics 40
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Citations per year

Countries citing papers authored by Andrzej Paszkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Andrzej Paszkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 199946
3 202145
4 202028
5 202028
6 202117
7
ON CONSTRUCTIVE APPROACH TO CHAOTIC PSEUDORANDOM NUMBER GENERATORS
200017
8 201916
9 201815
10 202112
11 202010
12 202210
13 20229
14 20237
15 20207
16 20236
17 20226
18 20085
19 20235
20
Classification of streptomycetes by different numerical methods.
19755

About Andrzej Paszkiewicz

Andrzej Paszkiewicz is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Mechanical Engineering, Automotive Engineering and Computer Networks and Communications, having authored 70 papers that have together received 435 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (10 papers), Coding theory and cryptography (7 papers), Digital Transformation in Industry (7 papers), Cryptography and Residue Arithmetic (6 papers), Analytic Number Theory Research (6 papers), Chaos-based Image/Signal Encryption (6 papers), Manufacturing Process and Optimization (5 papers) and Engineering Technology and Methodologies (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (123 citations), Automotive Engineering (121 citations), Human-Computer Interaction (53 citations), Computer Vision and Pattern Recognition (88 citations) and Statistical and Nonlinear Physics (40 citations). Andrzej Paszkiewicz has collaborated with scholars based in Poland, Slovakia and United Kingdom. Frequent co-authors include Grzegorz Budzik, Łukasz Przeszłowski, Mariusz Oleksy, Paweł Dymora, Zbigniew Kotulski, Janusz Szczepański, Tomasz Dziubek, Jerzy Jóźwik, P. Turek and Rafał Oliwa. Their work appears in journals such as Sensors, Applied Sciences, Mathematics of Computation, Energies and Polymers.

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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