Samuel M. Parnass

22 total papers · 430 total citations
14 papers, 267 citations indexed

About

Samuel M. Parnass is a scholar working on Anesthesiology and Pain Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Samuel M. Parnass has authored 14 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Anesthesiology and Pain Medicine, 6 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Samuel M. Parnass's work include Anesthesia and Pain Management (6 papers), Anesthesia and Sedative Agents (6 papers) and Nausea and vomiting management (5 papers). Samuel M. Parnass is often cited by papers focused on Anesthesia and Pain Management (6 papers), Anesthesia and Sedative Agents (6 papers) and Nausea and vomiting management (5 papers). Samuel M. Parnass collaborates with scholars based in United States, Senegal and United Arab Emirates. Samuel M. Parnass's co-authors include David M. Rothenberg, Robert J. McCarthy, L. J. Segil, William H. Chamberlin, James M. Feld, Louise Newman, Anthony D. Ivankovich, Gerald L. Becker, Bernard R. Bach and John T. Phelan and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Samuel M. Parnass

13 papers receiving 250 citations

Author Peers

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

Author Last Decade Papers Cites
Samuel M. Parnass 159 115 70 57 37 14 267
R. Erskine 126 0.8× 109 0.9× 60 0.9× 68 1.2× 56 1.5× 16 289
Binay Kumar Biswas 216 1.4× 138 1.2× 83 1.2× 40 0.7× 19 0.5× 23 312
Peter D. Berry 145 0.9× 149 1.3× 89 1.3× 35 0.6× 17 0.5× 18 276
Lakshmi Jayaraman 210 1.3× 90 0.8× 82 1.2× 51 0.9× 36 1.0× 20 291
Vance E. Shearer 204 1.3× 91 0.8× 85 1.2× 41 0.7× 20 0.5× 14 295
Tomáš Gabrhelík 111 0.7× 169 1.5× 41 0.6× 52 0.9× 46 1.2× 25 278
Ján Hrubý 135 0.8× 69 0.6× 45 0.6× 84 1.5× 31 0.8× 21 294
Mark D. Willingham 130 0.8× 114 1.0× 125 1.8× 38 0.7× 63 1.7× 13 270
M. A. Salman 191 1.2× 165 1.4× 51 0.7× 44 0.8× 18 0.5× 20 324
Oscar J. Viegas 123 0.8× 118 1.0× 47 0.7× 47 0.8× 33 0.9× 20 283

Countries citing papers authored by Samuel M. Parnass

Since Specialization
Citations

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

Fields of papers citing papers by Samuel M. Parnass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel M. Parnass. 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 Samuel M. Parnass. The network helps show where Samuel M. Parnass may publish in the future.

Co-authorship network of co-authors of Samuel M. Parnass

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel M. Parnass. A scholar is included among the top collaborators of Samuel M. Parnass 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 Samuel M. Parnass. Samuel M. Parnass 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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