Anup Bhat

11 papers receiving 108 citations

Peers

Anup Bhat
Comparison fields: 5 of 46
  • Critical Care and Intensive Care Medicine 11
  • Statistics, Probability and Uncertainty 17
  • Health Informatics 3
  • Fluid Flow and Transfer Processes 10
  • Radiological and Ultrasound Technology 7
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Antonino Giarratano Italy
Laurent Halbout France
Carmen García Spain
Hans van Schuppen Netherlands
Jean-Loup Augy France
Michael McGinlay United Kingdom
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Anup Bhat relative to Antonino Giarratano Italy Antonino Giarratano's profile →
Citations per field
00.5×3.7×
Antonino Giarratano · 1×
Citations per year

Countries citing papers authored by Anup Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Anup Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Anup Bhat, 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 Anup Bhat Line = papers co-authored together Anup Bhat links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202024
2 201621
3 201815
4 201414
5 200911
6 20199
7 20196
8 20165
9 20224
10 20172
11 20172
12 20230
13 20230
14 20240
15 20240

About Anup Bhat

Anup Bhat is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Pediatrics, Perinatology and Child Health and Safety Research, having authored 15 papers that have together received 113 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Academic integrity and plagiarism (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Cardiac Health and Mental Health (2 papers), Vehicle emissions and performance (1 paper), Pharmaceutical industry and healthcare (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (11 citations), Statistics, Probability and Uncertainty (17 citations), Health Informatics (3 citations), Fluid Flow and Transfer Processes (10 citations) and Radiological and Ultrasound Technology (7 citations). Anup Bhat has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Akash Shah, K Vaishali, Rahul Magazine, Bhamini Krishna Rao, Sathish Rajasekaran, John M. Solomon, Mukesh Kumar Sinha, Mohan K Manu, Aswini Kumar Mohapatra and Abraham Samuel Babu. Their work appears in journals such as Journal of Empirical Research on Human Research Ethics, F1000Research, SAE technical papers on CD-ROM/SAE technical paper series, Heart & Lung and Journal of Cardiopulmonary Rehabilitation and Prevention.

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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