Ryan Hoffman

23 papers receiving 932 citations

Peers

Ryan Hoffman
Comparison fields: 5 of 125
  • Health Informatics 28
  • Health Information Management 72
  • Cancer Research 60
  • Biomedical Engineering 182
  • Pathology and Forensic Medicine 66
Replace Lianlian Wu with:
Lianlian Wu China
Ling Yuan China
K. Stephen Suh United States
Petr Vaňhara Czechia
Tomasz Jadczyk Poland
Sok Ching Cheong Malaysia
Xiang Zhang China
Seied Rabi Mahdavi Iran
Alex Aliper United States
Daisuke Ichikawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Hoffman, 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 Ryan Hoffman Line = papers co-authored together Ryan Hoffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 2015207
3 2016196
4 2014155
5 201424
6 201718
7
Reversible inhibition of IL-8 receptor B mRNA expression and proliferation in non-small cell lung cancer by antisense oligonucleotides.
199717
8 202115
9 201815
10 201613
11 201811
12 20209
13 20228
14 20167
15 20196
16 20176
17 20133
18
RISE Video Dataset: Recognizing Industrial Smoke Emissions
20202
19 20252
20 20202

About Ryan Hoffman

Ryan Hoffman is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Surgery and Health Information Management, having authored 29 papers that have together received 954 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers), Data Mining Algorithms and Applications (2 papers), Machine Learning in Healthcare (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (28 citations), Health Information Management (72 citations), Cancer Research (60 citations), Biomedical Engineering (182 citations) and Pathology and Forensic Medicine (66 citations). Ryan Hoffman has collaborated with scholars based in United States, Uganda and China. Frequent co-authors include May D. Wang, J Dolenský, Eric R. Cosman, Hao Li, Jefferson Chan, Lukas P. Smaga, Janani Venugopalan, Po-Yen Wu, Chih‐Wen Cheng and Chanchala Kaddi. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, European Journal of Orthopaedic Surgery & Traumatology, The American Journal of Sports Medicine, Journal of Shoulder and Elbow Surgery and The Journal of Heart and Lung Transplantation.

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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