Umar Ghaffar

22 papers receiving 195 citations

Umar Ghaffar's Hit Papers

Clinical applications of artificial intelligence in robotic surgery 2024 · 97 citations
970+1Years since publication255075

Peers

Umar Ghaffar
Comparison fields: 5 of 70
  • Health Informatics 40
  • Health Information Management 10
  • Hepatology 16
  • Surgery 74
  • Radiology, Nuclear Medicine and Imaging 31
Replace Rowland W. Pettit with:
Rowland W. Pettit United States
Sanchit Chawla United States
Gaurav Mishra India
Nakeya Dewaswala United States
Linda C. Kelahan United States
Toshimasa Matsumoto Japan
Kelly Suchman United States
Mohamad H. Yamani United States
Bijun S. Kannadath United States
Konrad Pieszko Poland
Umar Ghaffar relative to Rowland W. Pettit United States Rowland W. Pettit's profile →
Citations per field
00.5×
Rowland W. Pettit · 1×
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 29 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 →
202497
2 202115
3 202314
4 202310
5 20209
6 20259
7 20228
8 20247
9 20245
10 20234
11 20234
12 20243
13 20203
14 20233
15 20232
16 20232
17 20242
18 20241
19 20241
20 20241

About Umar Ghaffar

Umar Ghaffar is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Urology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 29 papers that have together received 202 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (5 papers), Urological Disorders and Treatments (5 papers), Surgical Simulation and Training (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Injury Epidemiology and Prevention (3 papers), Pelvic floor disorders treatments (3 papers), Heart Failure Treatment and Management (2 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Health Informatics (40 citations), Health Information Management (10 citations), Hepatology (16 citations), Surgery (74 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Umar Ghaffar has collaborated with scholars based in United States, Pakistan and United Kingdom. Frequent co-authors include Runzhuo Ma, Andrew J. Hung, J Knudsen, Kevin Li, Benjamin N. Breyer, Hiren V. Patel, Umar Farooque, Behnam Nabavizadeh, Isabel Elaine Allen and Charles P. Jones. Their work appears in journals such as Urology, JAMA Network Open, The Journal of Urology, JAMA Surgery and Prostate Cancer and Prostatic Diseases.

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.

Explore authors with similar magnitude of impact