Paras Lakhani
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education 4
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- Radiomics and Machine Learning in Medical Imaging 9
- Radiology practices and education 9
- COVID-19 diagnosis using AI 7
- Medical Imaging Techniques and Applications 5
- Artificial Intelligence top 2%
- AI in cancer detection 3
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- Lung Cancer Diagnosis and Treatment 5
- Digital Radiography and Breast Imaging 5
Paras Lakhani
37 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 343
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Information Management 75
- Artificial Intelligence 517
- Pulmonary and Respiratory Medicine 498
Countries citing papers authored by Paras Lakhani
This map shows the geographic impact of Paras Lakhani'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 Paras Lakhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paras Lakhani more than expected).
Fields of papers citing papers by Paras Lakhani
This network shows the impact of papers produced by Paras Lakhani. 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 Paras Lakhani. The network helps show where Paras Lakhani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paras Lakhani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2021 | 17 | |
| 4 | 2019 | 8 | |
| 5 | 2017 | 76 | |
| 6 | 2017 | 41 | |
| 7 | 2017 | 167 | |
| 8 | 2012 | 19 | |
| 9 | 2011 | 46 | |
| 10 | 2010 | 1 | |
| 11 | 2010 | 3 | |
| 12 | 2010 | 8 | |
| 13 | 2010 | 4 | |
| 14 | 2009 | 20 | |
| 15 | 2009 | 15 | |
| 16 | 2007 | 12 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 9 | |
| 19 | 2005 | 42 | |
| 20 | 2004 | 33 |
About Paras Lakhani
Paras Lakhani is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Radiology practices and education (9 papers), COVID-19 diagnosis using AI (7 papers), Medical Imaging Techniques and Applications (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Digital Radiography and Breast Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (343 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Health Information Management (75 citations). Paras Lakhani has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Baskaran Sundaram, Curtis P. Langlotz, Adam E. Flanders, Abass Alavi, Hongming Zhuang, George Shih, Paul Nagy, Richard Gorniak, Ayşe Mavi and Jason N. Itri.
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.