Riaz Agha

154 papers receiving 16.8k citations

Hit Papers

Revised Surgical CAse REport (SCARE) Guideline: An Update for the Age of Artificial Intelligence 2025 · 90 citations
90201720262020202310002.0k3.0k4.0k

Peers

Riaz Agha
Comparison fields: 5 of 221
  • Modeling and Simulation 1.5k
  • General Dentistry 254
  • Infectious Diseases 2.2k
  • Surgery 4.6k
  • Clinical Psychology 2.0k
Replace Catrin Sohrabi with:
Catrin Sohrabi United Kingdom
Ahmed Kerwan United Kingdom
Dominique Heymann France
Trisha Greenhalgh United Kingdom
Azeem Majeed United Kingdom
Aziz Sheikh United Kingdom
Paul Glasziou Australia
Ahmed Al‐Jabir United Kingdom
Nicola Luigi Bragazzi Italy
Maria Nicola United Kingdom
Riaz Agha relative to Catrin Sohrabi United Kingdom Catrin Sohrabi's profile →
Citations per field
00.5×3.5×
Catrin Sohrabi · 1×
Citations per year

Countries citing papers authored by Riaz Agha

Since Specialization
Citations

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

Fields of papers citing papers by Riaz Agha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Revised Surgical CAse REport (SCARE) Guideline: An Update for the Age of Artificial Intelligence
Hit paper breakdown →
202590
2 20258
3 20255
4
Transparency in the Reporting of Artificial Intelligence – The TITAN Guideline
Hit paper breakdown →
202538
5 2020158
6 2020155
7 2020118
8 202022
9 20192
10 20194
11 201864
12 20176
13 201717
14 20167
15 201617
16 20153
17 201326
18 20131
19 20133
20 20031

About Riaz Agha

Riaz Agha is a scholar working on Health Informatics, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Pharmacy, having authored 163 papers that have together received 17.3k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (34 papers), Cardiac, Anesthesia and Surgical Outcomes (32 papers), Clinical practice guidelines implementation (31 papers), Delphi Technique in Research (27 papers), Reconstructive Surgery and Microvascular Techniques (18 papers), Health and Medical Research Impacts (12 papers), Surgical Simulation and Training (12 papers) and Ethics in Clinical Research (12 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), General Dentistry (254 citations), Infectious Diseases (2.2k citations), Surgery (4.6k citations) and Clinical Psychology (2.0k citations). Riaz Agha has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Catrin Sohrabi, Ahmed Kerwan, Ahmed Al‐Jabir, Zaid Alsafi, Christos Iosifidis, Maria Nicola, Maliha Agha, Niamh O’Neill, Mehdi Khan and Ginimol Mathew. Their work appears in journals such as International Journal of Surgery, BMJ Open, Plastic & Reconstructive Surgery, Journal of Plastic Reconstructive & Aesthetic Surgery and Journal of the Royal Society of Medicine.

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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