Nishi Rawat

855 total citations · 1 hit paper
15 papers, 522 citations indexed

About

Nishi Rawat is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Nishi Rawat has authored 15 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Critical Care and Intensive Care Medicine, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Nishi Rawat's work include Respiratory Support and Mechanisms (6 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Nosocomial Infections in ICU (3 papers). Nishi Rawat is often cited by papers focused on Respiratory Support and Mechanisms (6 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Nosocomial Infections in ICU (3 papers). Nishi Rawat collaborates with scholars based in United States, Canada and Saudi Arabia. Nishi Rawat's co-authors include Peter J. Pronovost, Asad Latif, Julius Cuong Pham, Aliaksei Pustavoitau, Suchi Saria, Claire E. Blevins, Michael D. Stein, Andong Zhan, Sara E. Cosgrove and Kathleen Speck and has published in prestigious journals such as Nature Medicine, American Journal of Respiratory and Critical Care Medicine and Critical Care Medicine.

In The Last Decade

Nishi Rawat

15 papers receiving 509 citations

Hit Papers

Prospective, multi-site study of patient outcomes after i... 2022 2026 2023 2024 2022 50 100 150

Peers

Nishi Rawat
Comparison fields: 5 of 92
  • Epidemiology 131
  • Critical Care and Intensive Care Medicine 123
  • Emergency Medical Services 90
  • General Health Professions 78
  • Artificial Intelligence 75
Replace Sigal Sviri with:
Sigal Sviri Israel
Heatherlee Bailey United States
Dustin G. Mark United States
Azita G. Hamedani United States
Kevin Heard United States
Joseph Bledsoe United States
Courtney C. Kuza United States
Andrew McWilliams United States
Sylvia Brinkman Netherlands
Ferishta Bakhshi‐Raiez Netherlands
Sigal Sviri Israel View profile →
Citations per field, relative to Nishi Rawat
Nishi Rawat · 1×
Citations per year, relative to Nishi Rawat
Nishi Rawat · 1×

Countries citing papers authored by Nishi Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Nishi Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishi Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Nishi Rawat. A scholar is included among the top collaborators of Nishi Rawat 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 Nishi Rawat. Nishi Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis breakdown →
156
2 3
3 4
4 2
5 36
6 30
7 37
8 8
9 42
10 8
11 95
12 1
13 1
14 92
15
The correlation between aerobic fitness and motion sickness susceptibility.
7

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026