Sharmistha Dev

13 papers receiving 298 citations

Sharmistha Dev's Hit Papers

Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic 2021 · 171 citations
1710+1+3Years since publication50100150

Peers

Sharmistha Dev
Comparison fields: 5 of 83
  • Emergency Medicine 68
  • Critical Care and Intensive Care Medicine 32
  • Modeling and Simulation 28
  • Emergency Medical Services 36
  • Infectious Diseases 93
Replace Maja von Cube with:
Maja von Cube Germany
Suzana M. Lobo Brazil
Cécile Payet France
Jennifer Myers United States
Frank J. Zadravecz United States
Michael A. Peters United States
Sheri Chernetsky Tejedor United States
Golnar Sabetian Iran
Paloma Ferrando-Vivas United Kingdom
Edwin Poon China
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Citations per field
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Citations per year

Countries citing papers authored by Sharmistha Dev

Since Specialization
Citations

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

Fields of papers citing papers by Sharmistha Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic
Hit paper breakdown →
2021171
2 202078
3 201217
4 201612
5 20235
6 20164
7 20234
8 20184
9 20133
10 20033
11 20212
12
Association of Intensive Care Unit Patient Load and Demand With Mortality Rates in US Department of Veterans Affairs Hospitals During the COVID-19 Pandemic
20211
13 20141
14 20100
15 20210

About Sharmistha Dev

Sharmistha Dev is a scholar working on General Health Professions, Emergency Medicine, Infectious Diseases, Surgery and Oncology, having authored 15 papers that have together received 305 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (5 papers), Healthcare Policy and Management (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), COVID-19 Clinical Research Studies (2 papers), Hip and Femur Fractures (2 papers), COVID-19 and healthcare impacts (2 papers), Intestinal Malrotation and Obstruction Disorders (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Emergency Medicine (68 citations), Critical Care and Intensive Care Medicine (32 citations), Modeling and Simulation (28 citations), Emergency Medical Services (36 citations) and Infectious Diseases (93 citations). Sharmistha Dev has collaborated with scholars based in United States, India and Nepal. Frequent co-authors include Dawn M. Bravata, Ali Sexson, Laura J. Myers, Ying Zhang, Salomeh Keyhani, Greg Arling, Rajiv Agarwal, Anthony J. Perkins, Charles Austin and Andrew Dysangco. Their work appears in journals such as Academic Emergency Medicine, JAMA Network Open, Journal of Investigative Medicine, Emergency Medicine Journal and Journal of Surgical Research.

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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