Ravindra Pawar

45 total papers · 1.0k total citations
20 papers, 331 citations indexed

About

Ravindra Pawar is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ravindra Pawar has authored 20 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ravindra Pawar's work include Coronary Interventions and Diagnostics (7 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Ravindra Pawar is often cited by papers focused on Coronary Interventions and Diagnostics (7 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Ravindra Pawar collaborates with scholars based in India, Netherlands and United States. Ravindra Pawar's co-authors include Héctor M. García‐García, Gretta H. Jacobs, Michael C. Smith, Patrick W. Serruys, Ancong Wang, Jeroen Eggermont, Amit Chavan, Uday Patil, Maria Radu and Johan H. C. Reiber and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Medicine and American Heart Journal.

In The Last Decade

Ravindra Pawar

16 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ravindra Pawar 237 129 104 62 48 20 331
Muhammad Usman Aziz 75 0.3× 99 0.8× 42 0.4× 79 1.3× 20 0.4× 25 248
Carles Bautista-Rodríguez 150 0.6× 107 0.8× 64 0.6× 66 1.1× 19 0.4× 36 320
Phuoc Duong 162 0.7× 130 1.0× 93 0.9× 41 0.7× 24 0.5× 27 337
Pauline Parisot 214 0.9× 136 1.1× 90 0.9× 17 0.3× 38 0.8× 14 363
Matthew D. Elias 276 1.2× 161 1.2× 123 1.2× 17 0.3× 26 0.5× 23 363
Juliana Ferreira Ferranti 132 0.6× 66 0.5× 71 0.7× 9 0.1× 21 0.4× 12 345
Caroline K. Lee 103 0.4× 82 0.6× 110 1.1× 24 0.4× 20 0.4× 15 277
Supriya Jain 173 0.7× 73 0.6× 150 1.4× 33 0.5× 16 0.3× 14 302
Dipen Kadaria 91 0.4× 60 0.5× 58 0.6× 18 0.3× 29 0.6× 32 321
Guillaume Geslain 176 0.7× 84 0.7× 40 0.4× 6 0.1× 53 1.1× 16 292

Countries citing papers authored by Ravindra Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Ravindra Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindra Pawar

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

All Works

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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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