Usman Munir

1.6k citations
9 papers · 711 · 1 hit paper · h-index 5

Impact in

Papers in

Usman Munir

9 papers receiving 683 citations

Usman Munir's Hit Papers

Artificial intelligence in healthcare: transforming the practice of medicine 2021 · 668 citations
6680+1+3Years since publication200400600

Peers

Usman Munir
Comparison fields: 5 of 122
  • Health Informatics 379
  • Health Information Management 89
  • Radiology, Nuclear Medicine and Imaging 207
  • Family Practice 19
  • Medical Laboratory Technology 10
Replace Junaid Bajwa with:
Junaid Bajwa United Kingdom
Sufyan Ibrahim India
Heather Mattie United States
Aditya Nori United Kingdom
Komal Smriti India
D. Douglas Miller United States
Vyas Kumar Rathaur India
Paras Malik India
Fnu Amisha United States
Arun Vijay Subbarayalu Saudi Arabia
Usman Munir relative to Junaid Bajwa United Kingdom Junaid Bajwa's profile →
Citations per field
00.5×
Junaid Bajwa · 1×
Citations per year

Countries citing papers authored by Usman Munir

Since Specialization
Citations

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

Fields of papers citing papers by Usman Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Artificial intelligence in healthcare: transforming the practice of medicine
Hit paper breakdown →
2021668
2 202019
3 20207
4 20195
5 20195
6 20234
7 20191
8 20191
9 20201

About Usman Munir

Usman Munir is a scholar working on Clinical Psychology, Applied Psychology, Social Psychology, Health Information Management and Sociology and Political Science, having authored 9 papers that have together received 711 indexed citations. Recurring topics across this work include Perfectionism, Procrastination, Anxiety Studies (2 papers), Digital Mental Health Interventions (2 papers), COVID-19 diagnosis using AI (1 paper), Mental Health Research Topics (1 paper), Artificial Intelligence in Healthcare (1 paper), Endometriosis Research and Treatment (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Health Informatics (379 citations), Health Information Management (89 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Family Practice (19 citations) and Medical Laboratory Technology (10 citations). Usman Munir has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Aditya Nori, Junaid Bajwa, Bryan Williams, Dina Katabi, Zachary Kabelac, Absori Absori, Brent P. Forester, Chen-Yu Hsu, Ipsit V. Vahia and Patrick Monette. Their work appears in journals such as American Journal of Geriatric Psychiatry, Journal of Minimally Invasive Gynecology, Alzheimer s & Dementia, PLoS ONE and Future Healthcare Journal.

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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