Travis Osterman

30 papers receiving 542 citations

Peers

Travis Osterman
Comparison fields: 5 of 81
  • Health Informatics 21
  • Health Information Management 25
  • Cancer Research 52
  • Oncology 90
  • Genetics 79
Replace Jacqueline Corrigan‐Curay with:
Jacqueline Corrigan‐Curay United States
Judita Kinkorová Czechia
Julia R. Trosman United States
Tina Seto United States
Christine B. Weldon United States
Evert-Ben van Veen Netherlands
Tsuyoshi Takiuchi Japan
Arturo López Pineda United States
Simona Baselice Italy
Brandon Arnieri United States
Travis Osterman relative to Jacqueline Corrigan‐Curay United States Jacqueline Corrigan‐Curay's profile →
Citations per field
00.5×2.9×
Jacqueline Corrigan‐Curay · 1×
Citations per year

Countries citing papers authored by Travis Osterman

Since Specialization
Citations

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

Fields of papers citing papers by Travis Osterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Travis Osterman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Travis Osterman Line = papers co-authored together Travis Osterman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017212
2 202097
3 202138
4 202123
5 201918
6 202017
7 201916
8 201915
9 202114
10 201813
11 202111
12 202111
13 20259
14 20227
15 20226
16 20155
17 20224
18 20234
19 20204
20 20213

About Travis Osterman

Travis Osterman is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and Cancer Research, having authored 35 papers that have together received 547 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Genomics and Diagnostics (4 papers), Economic and Financial Impacts of Cancer (4 papers), Ethics in Clinical Research (3 papers), Telemedicine and Telehealth Implementation (2 papers), COVID-19 and healthcare impacts (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Health Informatics (21 citations), Health Information Management (25 citations), Cancer Research (52 citations), Oncology (90 citations) and Genetics (79 citations). Travis Osterman has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Robert S. Miller, Dan M. Roden, Nancy J. Cox, Wei‐Qi Wei, Lisa A. Bastarache, Robert J. Carroll, Eric R. Gamazon, Joshua C. Denny, Joy E. Marlo and Mia Levy. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of the National Comprehensive Cancer Network, American Society of Clinical Oncology Educational Book, Journal of Clinical Oncology and The Oncologist.

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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