Aleksander Kołcz

47 total papers · 1.3k total citations
37 papers, 843 citations indexed

About

Aleksander Kołcz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aleksander Kołcz has authored 37 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 17 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aleksander Kołcz's work include Text and Document Classification Technologies (13 papers), Spam and Phishing Detection (11 papers) and Neural Networks and Applications (8 papers). Aleksander Kołcz is often cited by papers focused on Text and Document Classification Technologies (13 papers), Spam and Phishing Detection (11 papers) and Neural Networks and Applications (8 papers). Aleksander Kołcz collaborates with scholars based in United States, United Kingdom and Canada. Aleksander Kołcz's co-authors include Nathalie Japkowicz, Nitesh V. Chawla, J. Alspector, Abdur Chowdhury, Wen-tau Yih, N.M. Allinson, Jugal Kalita, Hannaneh Hajishirzi, Marijke F. Augusteijn and George V. Popescu and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Neural Computation and Neurocomputing.

In The Last Decade

Aleksander Kołcz

34 papers receiving 770 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aleksander Kołcz 602 346 169 144 109 37 843
Mohand-Saïd Hacid 506 0.8× 292 0.8× 331 2.0× 131 0.9× 85 0.8× 57 941
Shengfeng Tian 672 1.1× 295 0.9× 157 0.9× 232 1.6× 156 1.4× 46 1.0k
Yihua Huang 394 0.7× 345 1.0× 191 1.1× 218 1.5× 81 0.7× 78 798
Sang‐goo Lee 490 0.8× 379 1.1× 185 1.1× 171 1.2× 76 0.7× 70 854
Mohammed Kayed 389 0.6× 512 1.5× 129 0.8× 265 1.8× 90 0.8× 39 967
Yün Peng 452 0.8× 351 1.0× 117 0.7× 231 1.6× 86 0.8× 46 937
Yun Sing Koh 631 1.0× 397 1.1× 78 0.5× 148 1.0× 156 1.4× 83 982
Xiao Ma 410 0.7× 316 0.9× 139 0.8× 169 1.2× 60 0.6× 27 793
Mehdi Hosseinzadeh Aghdam 618 1.0× 270 0.8× 238 1.4× 196 1.4× 119 1.1× 27 1.0k
S. Kanmani 312 0.5× 394 1.1× 88 0.5× 135 0.9× 89 0.8× 62 759

Countries citing papers authored by Aleksander Kołcz

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Kołcz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Kołcz

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026