Deevakar Rogith

20 papers receiving 215 citations

Peers

Deevakar Rogith
Comparison fields: 5 of 75
  • Health Informatics 15
  • Health Information Management 33
  • Family Practice 7
  • Medical Laboratory Technology 4
  • Cancer Research 28
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Citations per year

Countries citing papers authored by Deevakar Rogith

Since Specialization
Citations

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

Fields of papers citing papers by Deevakar Rogith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201442
2 202036
3 201428
4 201625
5 201714
6 202111
7 201711
8 201910
9 20137
10 20207
11 20196
12
Digilego for Peripartum Depression: A Novel Patient-Facing Digital Health Instantiation.
20205
13 20243
14 20243
15
Measuring Workload Demand of Informatics Systems with the Clinical Case Demand Index.
20173
16 20132
17 20222
18 20251
19 20201
20
Data analysis: evaluation of nanoscale contrast agent enhanced CT scan to differentiate between benign and malignant lung cancer in mouse model.
20121

About Deevakar Rogith

Deevakar Rogith is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management, General Health Professions, Genetics and Surgery, having authored 21 papers that have together received 218 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), BRCA gene mutations in cancer (4 papers), Ethics in Clinical Research (4 papers), Healthcare Technology and Patient Monitoring (2 papers), Mobile Health and mHealth Applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Semantic Web and Ontologies (2 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Health Informatics (15 citations), Health Information Management (33 citations), Family Practice (7 citations), Medical Laboratory Technology (4 citations) and Cancer Research (28 citations). Deevakar Rogith has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include Susan K. Peterson, Rafeek A. Yusuf, Yisheng Li, Funda Meric‐Bernstam, Allison M. Burton‐Chase, Elmer V. Bernstam, Bryan Fellman, Hardeep Singh, Dongha Lee and Xiaoqian Jiang. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Medical Informatics, Applied Clinical Informatics, BMC Health Services Research and Cancer.

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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