Nilesh Jain

32 papers receiving 698 citations

Peers

Nilesh Jain
Comparison fields: 5 of 92
  • Molecular Biology 323
  • Artificial Intelligence 271
  • Health Information Management 232
  • Public Health, Environmental and Occupational Health 164
  • Radiology, Nuclear Medicine and Imaging 103
Replace Éric Zapletal with:
Éric Zapletal France
Meredith Zozus United States
Rebecca Kush United States
M. Nyman United States
Gregory R. Hart United States
Donald P. Connelly United States
Björn Bergh Germany
Adam McCann United States
J C Horrocks United Kingdom
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Nilesh Jain relative to Éric Zapletal France Éric Zapletal's profile →
Citations per field
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Éric Zapletal · 1×
Citations per year

Countries citing papers authored by Nilesh Jain

Since Specialization
Citations

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

Fields of papers citing papers by Nilesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilesh Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Jain. A scholar is included among the top collaborators of Nilesh Jain 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 Nilesh Jain. Nilesh Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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REVIEW OF DIFFERENT RESPONSIVE CSS FRONT-END FRAMEWORKS
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Evaluation of an implementation of PRODIGY phase two.
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The TextBase project--implementation of a base level message supporting electronic patient record transfer in English general practice.
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9 25
10 257
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12 30
13 38
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Requirements of a Sharable Guideline Representation for Computer Applications
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Interactive electronic whiteboards in the medical classroom.
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About Nilesh Jain

Nilesh Jain is a scholar working on Health Informatics, Health Information Management and Radiation, having authored 38 papers that have together received 762 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Multi-Criteria Decision Making (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Health Information Management (232 citations), Health Informatics (20 citations) and Medical Terminology (3 citations). Nilesh Jain has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include C Friedman, George Hripcsak, Charles Knirsch, Ariel Pablos-Méndez, Edward Pattison-Gordon, Edward H. Shortliffe, John H. Gennari, Samson W. Tu, Lucila Ohno‐Machado and G. Octo Barnett. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and International Journal of Radiation Oncology*Biology*Physics.

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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