Umar Ghaffar

534 citations
33 papers · 252 · 1 hit paper · h-index 8

Impact in

Papers in

Umar Ghaffar

28 papers receiving 244 citations

Umar Ghaffar's Hit Papers

Clinical applications of artificial intelligence in robotic surgery 2024 · 126 citations
1260+1Years since publication4080120

Peers

Umar Ghaffar
Comparison fields: 5 of 65
  • Health Informatics 48
  • Health Information Management 11
  • Surgery 74
  • Hepatology 13
  • Radiology, Nuclear Medicine and Imaging 30
Replace Linda C. Kelahan with:
Linda C. Kelahan United States
Toshimasa Matsumoto Japan
Vien T. Truong United States
Andrew Kesselman United States
Sanchit Chawla United States
Benjamin J. Vaccaro United States
Bijun S. Kannadath United States
Ramesh Batra United States
Yang Faridah Abdul Aziz Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Umar Ghaffar

Since Specialization
Citations

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

Fields of papers citing papers by Umar Ghaffar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical applications of artificial intelligence in robotic surgery
Hit paper breakdown →
2024126
2 202116
3 202314
4 202312
5 202512
6 20209
7 20249
8 20228
9 20235
10 20245
11 20234
12 20204
13 20244
14 20233
15 20233
16 20252
17 20242
18 20242
19 20232
20 20242

About Umar Ghaffar

Umar Ghaffar is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 252 indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Vasculitis and related conditions (2 papers), Urological Disorders and Treatments (2 papers), Pelvic floor disorders treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Health Informatics (48 citations), Health Information Management (11 citations), Surgery (74 citations), Hepatology (13 citations) and Radiology, Nuclear Medicine and Imaging (30 citations). Umar Ghaffar has collaborated with scholars based in United States, Pakistan and United Kingdom. Frequent co-authors include Andrew J. Hung, J Knudsen, Runzhuo Ma, Benjamin N. Breyer, Nizar Hakam, Kevin Li, Hiren V. Patel, Behnam Nabavizadeh, Isabel Elaine Allen and Umar Farooque. Their work appears in journals such as Urology, JAMA Network Open, JAMA Surgery, The Journal of Urology and Urologic Oncology Seminars and Original Investigations.

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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