Tomasz Oliwa

478 total citations · 1 hit paper
11 papers, 277 citations indexed

About

Tomasz Oliwa is a scholar working on Artificial Intelligence, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Tomasz Oliwa has authored 11 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Tomasz Oliwa's work include HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers) and Evolutionary Algorithms and Applications (2 papers). Tomasz Oliwa is often cited by papers focused on HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers) and Evolutionary Algorithms and Applications (2 papers). Tomasz Oliwa collaborates with scholars based in United States, China and South Korea. Tomasz Oliwa's co-authors include Michael Sun, Elizabeth L. Tung, Monica E. Peek, Yang Shen, Jessica Schmitt, Jessica P. Ridgway, John A. Schneider, Samuel L. Volchenboum, Ellen Almirol and Samantha A. Devlin and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Health Affairs.

In The Last Decade

Tomasz Oliwa

10 papers receiving 273 citations

Hit Papers

Negative Patient Descriptors: Documenting Racial Bias In ... 2022 2026 2023 2024 2022 50 100 150

Peers

Tomasz Oliwa
Comparison fields: 5 of 80
  • General Health Professions 73
  • Artificial Intelligence 59
  • Molecular Biology 50
  • Public Health, Environmental and Occupational Health 48
  • Clinical Psychology 39
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Citations per field, relative to Tomasz Oliwa
Tomasz Oliwa · 1×
Citations per year, relative to Tomasz Oliwa
Tomasz Oliwa · 1×

Countries citing papers authored by Tomasz Oliwa

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Oliwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Oliwa

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 8
3
Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record breakdown →
174
4 20
5 15
6 14
7 6
8 29
9 0
10
A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms.
1
11 9

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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2026