Stephen W. Schwarzmann

12 total papers · 806 total citations
9 papers, 640 citations indexed

About

Stephen W. Schwarzmann is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Stephen W. Schwarzmann has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Stephen W. Schwarzmann's work include Pneumonia and Respiratory Infections (2 papers), Urinary Tract Infections Management (1 paper) and Bacterial Infections and Vaccines (1 paper). Stephen W. Schwarzmann is often cited by papers focused on Pneumonia and Respiratory Infections (2 papers), Urinary Tract Infections Management (1 paper) and Bacterial Infections and Vaccines (1 paper). Stephen W. Schwarzmann collaborates with scholars based in United States. Stephen W. Schwarzmann's co-authors include John R. Boring, Robert A. Weinstein, Charles R. Hatcher, Ellis L. Jones, Frederick S. Nolte, James G. Ramsay, William C. Wood, Diane Heaton, Toncred M. Styblo and Jerome C. Landry and has published in prestigious journals such as Critical Care Medicine, Infection and Immunity and The Annals of Thoracic Surgery.

In The Last Decade

Stephen W. Schwarzmann

9 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Stephen W. Schwarzmann	324	154	137	129	61	9	640
David H. Gremillion	310 1.0×	161 1.0×	60 0.4×	132 1.0×	33 0.5×	14	607
S M Aguero	241 0.7×	55 0.4×	83 0.6×	141 1.1×	80 1.3×	14	766
Charles P. Craig	319 1.0×	84 0.5×	82 0.6×	122 0.9×	74 1.2×	25	660
Eleonora Bunsow	456 1.4×	158 1.0×	144 1.1×	229 1.8×	101 1.7×	16	720
Robert B. Kammer	327 1.0×	98 0.6×	139 1.0×	156 1.2×	52 0.9×	14	728
Shirley F. Reising	331 1.0×	161 1.0×	107 0.8×	171 1.3×	34 0.6×	15	724
J Wedgwood	361 1.1×	243 1.6×	94 0.7×	69 0.5×	67 1.1×	13	765
J.G. Cunniffe	241 0.7×	125 0.8×	114 0.8×	276 2.1×	55 0.9×	14	622
Donald D. Stieritz	260 0.8×	86 0.6×	137 1.0×	148 1.1×	17 0.3×	14	631
James R. Tillotson	311 1.0×	209 1.4×	53 0.4×	159 1.2×	58 1.0×	23	764

Countries citing papers authored by Stephen W. Schwarzmann

Since Specialization

Citations

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

Fields of papers citing papers by Stephen W. Schwarzmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen W. Schwarzmann. 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 Stephen W. Schwarzmann. The network helps show where Stephen W. Schwarzmann may publish in the future.

Co-authorship network of co-authors of Stephen W. Schwarzmann

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Schwarzmann. A scholar is included among the top collaborators of Stephen W. Schwarzmann 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 Stephen W. Schwarzmann. Stephen W. Schwarzmann 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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