Dominik Olszewski

418 total citations
15 papers, 227 citations indexed

About

Dominik Olszewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dominik Olszewski has authored 15 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Dominik Olszewski's work include Face and Expression Recognition (6 papers), Advanced Clustering Algorithms Research (6 papers) and Neural Networks and Applications (4 papers). Dominik Olszewski is often cited by papers focused on Face and Expression Recognition (6 papers), Advanced Clustering Algorithms Research (6 papers) and Neural Networks and Applications (4 papers). Dominik Olszewski collaborates with scholars based in Poland, Switzerland and Slovenia. Dominik Olszewski's co-authors include Marcin Iwanowski, Marcin Kołodziej, Gerardo Turcatti, Fabien Kuttler, Michael Bauer, Vardan Andriasyan, Fanny Georgi, Urs F. Greber and Maarit Suomalainen and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Dominik Olszewski

14 papers receiving 211 citations

Peers

Dominik Olszewski
Comparison fields: 5 of 62
  • Artificial Intelligence 173
  • Information Systems 49
  • Computer Vision and Pattern Recognition 41
  • Accounting 36
  • Computer Networks and Communications 28
Replace Krystyna Napierała with:
Krystyna Napierała Poland
Georg Krempl Germany
Suresh N. Mali India
Adel Ghazikhani Iran
Rainer Hoch Germany
Yixin Chen United States
Bassam Kasasbeh Jordan
Marcus Lim Malaysia
Krystyna Napierała Poland View profile →
Citations per field, relative to Dominik Olszewski
Dominik Olszewski · 1×
Citations per year, relative to Dominik Olszewski
Dominik Olszewski · 1×

Countries citing papers authored by Dominik Olszewski

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Olszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Olszewski

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Olszewski. A scholar is included among the top collaborators of Dominik Olszewski 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 Dominik Olszewski. Dominik Olszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 3
5 12
6 8
7 16
8 4
9 9
10 95
11 16
12 5
13
Employing Probabilistic Dissimilarity for Feature Discovery in a Game of Chess
0
14 52
15
A Probabilistic Component for K-Means Algorithm and its Application to Sound Recognition
3

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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