Archana Laroia
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Surgery
- Computer Vision and Pattern Recognition
- Co-authors
- Carol C. WuPalmi ShahKavitha YaddanapudiAnouk SteinStephen HobbsDharshan VummidiRitu R. GillMaya Galperin-Aizenberg
- Topics
- Radiation Dose and Imaging (5 papers)Radiology practices and education (5 papers)Atrial Fibrillation Management and Outcomes (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in PhysiologyInternational Journal of Cardiology
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Archana Laroia
28 papers receiving 493 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 266
- Pulmonary and Respiratory Medicine 153
- Artificial Intelligence 125
- Surgery 87
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Archana Laroia
This map shows the geographic impact of Archana Laroia'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 Archana Laroia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Laroia more than expected).
Fields of papers citing papers by Archana Laroia
This network shows the impact of papers produced by Archana Laroia. 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 Archana Laroia. The network helps show where Archana Laroia may publish in the future.
Co-authorship network of co-authors of Archana Laroia
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Laroia. A scholar is included among the top collaborators of Archana Laroia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Archana Laroia. Archana Laroia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 181 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 34 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 33 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 39 | |
| 18 | 22 | |
| 19 | 41 | |
| 20 | 9 |
About Archana Laroia
Archana Laroia is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging and Family Practice, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (5 papers), Radiology practices and education (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (266 citations) and Family Practice (16 citations). Archana Laroia has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Carol C. Wu, Palmi Shah, Kavitha Yaddanapudi, Anouk Stein, Stephen Hobbs, Dharshan Vummidi, Ritu R. Gill, Maya Galperin-Aizenberg, George Shih and Jean Jeudy. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Physiology and International Journal of Cardiology.
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.