Shital Shah
- Molecular Biology
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Epidemiology
- Co-authors
- Andrew KusiakGary D. PeksaDallas HolladayMichael GottliebDhananjay G. ThombareMichael WaddellBistra DilkinaSaket Anand
- Topics
- Data-Driven Disease Surveillance (8 papers)Influenza Virus Research Studies (5 papers)Cardiac Arrest and Resuscitation (5 papers)
- Cited by
- Anesthesiology and Pain MedicineCritical Care and Intensive Care MedicineHealth Information Management
- Journals
- IEEE Transactions on Industrial ElectronicsOsteoporosis InternationalAnnals of Emergency Medicine
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Shital Shah
30 papers receiving 462 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 106
- Artificial Intelligence 102
- Pulmonary and Respiratory Medicine 67
- Computer Vision and Pattern Recognition 57
- Epidemiology 53
Countries citing papers authored by Shital Shah
This map shows the geographic impact of Shital Shah'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 Shital Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shital Shah more than expected).
Fields of papers citing papers by Shital Shah
This network shows the impact of papers produced by Shital Shah. 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 Shital Shah. The network helps show where Shital Shah may publish in the future.
Co-authorship network of co-authors of Shital Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Shital Shah. A scholar is included among the top collaborators of Shital Shah 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 Shital Shah. Shital Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | Safe Reinforcement Learning via Curriculum Induction | 2 |
| 5 | 18 | |
| 6 | 16 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 36 | |
| 11 | 3 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 104 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 71 |
About Shital Shah
Shital Shah is a scholar working on Emergency Medicine, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine, having authored 34 papers that have together received 499 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (5 papers) and Cardiac Arrest and Resuscitation (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (52 citations), Critical Care and Intensive Care Medicine (39 citations) and Health Information Management (23 citations). Shital Shah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Andrew Kusiak, Gary D. Peksa, Dallas Holladay, Michael Gottlieb, Dhananjay G. Thombare, Michael Waddell, Bistra Dilkina, Saket Anand, Damali Nakitende and Michael A. O’Donnell. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Osteoporosis International and Annals of Emergency Medicine.
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.