Komal Pandya
Impact in
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- Intensive Care Unit Cognitive Disorders
Papers in
-
- Intensive Care Unit Cognitive Disorders 5
- Co-authors
- Andrea Ceschini (2 shared papers)Rui-Hao Li (2 shared papers)Kostas Blekos (2 shared papers)Alexander H. Flannery (5 shared papers)Aric Schadler (4 shared papers)Aaron M. Cook (2 shared papers)Kyle A. Weant (2 shared papers)Michael Sekela (1 shared paper)
- Journals
- Annals of Pharmacotherapy (2 papers)Seminars in Cardiothoracic and Vascular Anesthesia (1 paper)Orthopedics (1 paper)Physics Reports (1 paper)Information Sciences (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Komal Pandya
24 papers receiving 318 citations
Komal Pandya's Hit Papers
Peers
Comparison fields: 5 of 91
- Critical Care and Intensive Care Medicine 28
- Internal Medicine 12
- Anesthesiology and Pain Medicine 17
- Artificial Intelligence 113
- Developmental Neuroscience 10
Countries citing papers authored by Komal Pandya
This map shows the geographic impact of Komal Pandya'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 Komal Pandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Komal Pandya more than expected).
Fields of papers citing papers by Komal Pandya
This network shows the impact of papers produced by Komal Pandya. 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 Komal Pandya. The network helps show where Komal Pandya may publish in the future.
Co-authors
The 25 scholars most cited alongside Komal Pandya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on Quantum Approximate Optimization Algorithm and its variants Hit paper breakdown → | 2024 | 147 |
| 2 | 2021 | 23 | |
| 3 | 2020 | 16 | |
| 4 | 2018 | 16 | |
| 5 | 2016 | 15 | |
| 6 | 2016 | 13 | |
| 7 | 2010 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2011 | 9 | |
| 11 | 2005 | 9 | |
| 12 | 2010 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | Mass lesion in an intravenous drug user. Round pneumonia. | 1989 | 3 |
| 20 | 2023 | 1 |
About Komal Pandya
Komal Pandya is a scholar working on Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Surgery and Biomedical Engineering, having authored 26 papers that have together received 328 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (5 papers), Mechanical Circulatory Support Devices (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Cardiac Arrest and Resuscitation (3 papers), Anesthesia and Sedative Agents (3 papers), Quantum Information and Cryptography (3 papers), Organizational and Employee Performance (2 papers) and Workplace Spirituality and Leadership (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (28 citations), Internal Medicine (12 citations), Anesthesiology and Pain Medicine (17 citations), Artificial Intelligence (113 citations) and Developmental Neuroscience (10 citations). Komal Pandya has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Andrea Ceschini, Rui-Hao Li, Kostas Blekos, Alexander H. Flannery, Aric Schadler, Aaron M. Cook, Kyle A. Weant, Michael Sekela, Machelle Wilson and Jeremiah J. Duby. Their work appears in journals such as Annals of Pharmacotherapy, Seminars in Cardiothoracic and Vascular Anesthesia, Orthopedics, Physics Reports and Information Sciences.
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.