Rafal Kustra

76 total papers · 3.1k total citations
33 papers, 907 citations indexed

About

Rafal Kustra is a scholar working on Epidemiology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Rafal Kustra has authored 33 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Modeling and Simulation and 5 papers in Molecular Biology. Recurrent topics in Rafal Kustra's work include COVID-19 epidemiological studies (6 papers), Genetic Associations and Epidemiology (4 papers) and COVID-19 and Mental Health (4 papers). Rafal Kustra is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Genetic Associations and Epidemiology (4 papers) and COVID-19 and Mental Health (4 papers). Rafal Kustra collaborates with scholars based in Canada, United States and Japan. Rafal Kustra's co-authors include Stephen C. Strother, Robert Tibshirani, Jacek Karski, Alan N. Sandler, Davy Cheng, Lars Kai Hansen, Ulrik Kjems, Sally A. Frutiger, Jeffrey C. Kwong and John J. Sidtis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Rafal Kustra

31 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Rafal Kustra 186 158 137 125 122 33 907
Tim Conrad 80 0.4× 349 2.2× 41 0.3× 161 1.3× 172 1.4× 55 930
Xiaorong Chen 83 0.4× 124 0.8× 58 0.4× 53 0.4× 185 1.5× 30 949
Jingfeng Bi 103 0.6× 60 0.4× 136 1.0× 74 0.6× 419 3.4× 22 1.0k
Angela Reynolds 51 0.3× 154 1.0× 32 0.2× 43 0.3× 130 1.1× 32 740
Patrick W. Johnson 36 0.2× 73 0.5× 96 0.7× 324 2.6× 57 0.5× 60 914
Mats Julius Stensrud 41 0.2× 95 0.6× 22 0.2× 59 0.5× 84 0.7× 63 920
Junqing Xie 105 0.6× 95 0.6× 19 0.1× 191 1.5× 56 0.5× 74 931
P. Taboulet 26 0.1× 117 0.7× 83 0.6× 200 1.6× 129 1.1× 57 993
Marı́a Teresa Giraudo 66 0.4× 77 0.5× 101 0.7× 52 0.4× 97 0.8× 43 738
Sumit K. Shah 32 0.2× 61 0.4× 285 2.1× 44 0.4× 92 0.8× 42 868

Countries citing papers authored by Rafal Kustra

Since Specialization
Citations

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

Fields of papers citing papers by Rafal Kustra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafal Kustra

This figure shows the co-authorship network connecting the top 25 collaborators of Rafal Kustra. A scholar is included among the top collaborators of Rafal Kustra 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 Rafal Kustra. Rafal Kustra 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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