Ravi Garg

851 total citations
34 papers, 343 citations indexed

About

Ravi Garg is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ravi Garg has authored 34 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Neurology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ravi Garg's work include Acute Ischemic Stroke Management (9 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Ravi Garg is often cited by papers focused on Acute Ischemic Stroke Management (9 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Ravi Garg collaborates with scholars based in United States, India and United Kingdom. Ravi Garg's co-authors include Neeraj Jolly, Mark Hyun, Richard A. Goldstein, Olakunle O. Akinboboye, John J. Mahmarian, Elias H. Botvinick, Jo Corbett, Megan A. Rech, Lynne L. Johnson and Raymond Taillefer and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Stroke.

In The Last Decade

Ravi Garg

30 papers receiving 336 citations

Peers

Ravi Garg
Comparison fields: 5 of 58
  • Radiology, Nuclear Medicine and Imaging 129
  • Cardiology and Cardiovascular Medicine 115
  • Neurology 72
  • Epidemiology 71
  • Surgery 54
Clifford J. Swap United States
Csaba Csobay-Novák Hungary
Jörg Larsen Germany
Mais Al‐Kawaz United States
Vahid Eslami Iran
Ahmed Own Qatar
William G. Spies United States
Joachim Seegers Germany
Vistasp Daruwalla United States
Paolo Villa Italy
Clifford J. Swap United States View profile →
Citations per field, relative to Ravi Garg
Ravi Garg · 1×
Citations per year, relative to Ravi Garg
Ravi Garg · 1×

Countries citing papers authored by Ravi Garg

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Garg

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 4
4 0
5 23
6 0
7 10
8 29
9 0
10 5
11 1
12 0
13 23
14 3
15 2
16 16
17 139
18 5
19 8
20 11

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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