Jason Hagerty

581 total citations
26 papers, 402 citations indexed

About

Jason Hagerty is a scholar working on Oncology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Jason Hagerty has authored 26 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 10 papers in Epidemiology and 10 papers in Artificial Intelligence. Recurrent topics in Jason Hagerty's work include Cutaneous Melanoma Detection and Management (17 papers), AI in cancer detection (10 papers) and Nonmelanoma Skin Cancer Studies (9 papers). Jason Hagerty is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), AI in cancer detection (10 papers) and Nonmelanoma Skin Cancer Studies (9 papers). Jason Hagerty collaborates with scholars based in United States, Algeria and Italy. Jason Hagerty's co-authors include William V. Stoecker, R. Joe Stanley, Reda Kasmi, Margaret Oliviero, Harold Rabinovitz, Rhett J Drugge, Haidar Almubarak, Peng Guo, Randy H. Moss and Giovanna Castellano and has published in prestigious journals such as Cancers, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Jason Hagerty

26 papers receiving 391 citations

Peers

Jason Hagerty
Comparison fields: 5 of 81
  • Oncology 273
  • Artificial Intelligence 220
  • Epidemiology 94
  • Computer Vision and Pattern Recognition 76
  • Biomedical Engineering 52
Replace Nabin K. Mishra with:
Nabin K. Mishra United States
Reda Kasmi Algeria
Jinman Kim Australia
Ebrahim Nasr-Esfahani Iran
Ammara Masood Australia
Aledir Silveira Pereira Brazil
P. C. Siddalingaswamy India
Joseph M. Malters United States
Nudrat Nida Pakistan
Aadi Kalloo United States
Nabin K. Mishra United States View profile →
Citations per field, relative to Jason Hagerty
Jason Hagerty · 1×
Citations per year, relative to Jason Hagerty
Jason Hagerty · 1×

Countries citing papers authored by Jason Hagerty

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hagerty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hagerty

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3 4
4 8
5 9
6 19
7 18
8 12
9 3
10 3
11 14
12 145
13 13
14 23
15 4
16 3
17 14
18 23
19 9
20 41

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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