Anna Korzyńska

75 total papers · 783 total citations
36 papers, 413 citations indexed

About

Anna Korzyńska is a scholar working on Artificial Intelligence, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anna Korzyńska has authored 36 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Biophysics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anna Korzyńska's work include Cell Image Analysis Techniques (18 papers), AI in cancer detection (17 papers) and Digital Imaging for Blood Diseases (5 papers). Anna Korzyńska is often cited by papers focused on Cell Image Analysis Techniques (18 papers), AI in cancer detection (17 papers) and Digital Imaging for Blood Diseases (5 papers). Anna Korzyńska collaborates with scholars based in Poland, Spain and United Kingdom. Anna Korzyńska's co-authors include Łukasz Roszkowiak, Jakub Żak, Marzena Zychowicz, Marylène Lejeune, Ramón Bosch, Carlos López, Marcin Iwanowski, Tomasz Markiewicz, Joanna Kiśluk and Dorota G. Pijanowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Anna Korzyńska

35 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Korzyńska 151 129 115 81 65 36 413
Deborah Thompson 233 1.5× 60 0.5× 131 1.1× 109 1.3× 83 1.3× 30 466
Christian Münzenmayer 157 1.0× 81 0.6× 174 1.5× 108 1.3× 55 0.8× 38 469
Yi‐Jia Lin 225 1.5× 44 0.3× 52 0.5× 168 2.1× 108 1.7× 30 493
Marco Wiltgen 82 0.5× 57 0.4× 30 0.3× 83 1.0× 60 0.9× 30 406
Bahr Gf 92 0.6× 85 0.7× 84 0.7× 30 0.4× 140 2.2× 51 464
Oliver Dürr 161 1.1× 74 0.6× 63 0.5× 35 0.4× 53 0.8× 24 388
M. M. M. Pahlplatz 95 0.6× 47 0.4× 36 0.3× 44 0.5× 157 2.4× 28 445
D. Meyer‐Ebrecht 54 0.4× 55 0.4× 142 1.2× 73 0.9× 28 0.4× 44 449
Aiping Qu 180 1.2× 36 0.3× 152 1.3× 119 1.5× 29 0.4× 30 388
Jinming Song 91 0.6× 23 0.2× 104 0.9× 37 0.5× 118 1.8× 59 487

Countries citing papers authored by Anna Korzyńska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Korzyńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Korzyńska

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

All Works

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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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