Rahul Thapa

852 citations
15 papers · 354 indexed · h-index 10

Impact in

Papers in

Rahul Thapa

13 papers receiving 348 citations

Peers

Rahul Thapa
Comparison fields: 5 of 94
  • Health Informatics 111
  • Health Information Management 46
  • Artificial Intelligence 162
  • Family Practice 10
  • Physical Therapy, Sports Therapy and Rehabilitation 13
Replace Ashwin Nayak with:
Ashwin Nayak United States
Huong Lan Thi Nguyen Vietnam
Oliver Wang United States
Patricia Kovatch United States
Peter Schulam United States
Zfania Tom Korach United States
Mathias Vassard Olsen Denmark
Morgan Simons United States
Anurag Garikipati United States
Anton van der Vegt Australia
Rahul Thapa relative to Ashwin Nayak United States Ashwin Nayak's profile →
Citations per field
00.5×4.8×
Ashwin Nayak · 1×
Citations per year

Countries citing papers authored by Rahul Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20260
2 202433
3 20240
4 2023143
5 202321
6 202213
7 202222
8 202236
9 202213
10 20227
11 20221
12 202120
13 202132
14 202112
15 20201

About Rahul Thapa

Rahul Thapa is a scholar working on Health Informatics, Geriatrics and Gerontology, Physical Therapy, Sports Therapy and Rehabilitation, Artificial Intelligence and Health Information Management, having authored 15 papers that have together received 354 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers), Topic Modeling (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Chronic Disease Management Strategies (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Health Informatics (111 citations), Health Information Management (46 citations), Artificial Intelligence (162 citations), Family Practice (10 citations) and Physical Therapy, Sports Therapy and Rehabilitation (13 citations). Rahul Thapa has collaborated with scholars based in United States and Denmark. Frequent co-authors include Nigam H. Shah, Birju Patel, Michael A. Pfeffer, Jason Fries, Yizhe Xu, Michael Wornow, Ethan Steinberg, Scott L. Fleming, Qingqing Mao and Anurag Garikipati. Their work appears in journals such as International Journal of Medical Informatics, Nature Medicine, Scientific Reports, npj Digital Medicine and JMIR Aging.

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

Rankless by CCL
2026