Matthew C. Schwartz

32 total papers · 837 total citations
20 papers, 459 citations indexed

About

Matthew C. Schwartz is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew C. Schwartz has authored 20 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 9 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew C. Schwartz's work include Congenital Heart Disease Studies (15 papers), Cardiac Structural Anomalies and Repair (4 papers) and Tracheal and airway disorders (4 papers). Matthew C. Schwartz is often cited by papers focused on Congenital Heart Disease Studies (15 papers), Cardiac Structural Anomalies and Repair (4 papers) and Tracheal and airway disorders (4 papers). Matthew C. Schwartz collaborates with scholars based in United States and Italy. Matthew C. Schwartz's co-authors include Meryl S. Cohen, Andrew C. Glatz, Elizabeth B. Rand, Jonathan J. Rome, Pierre Russo, Lisa Sullivan, Andrew Shaffer, Tjörvi E. Perry, Elizabeth M. Webber and David Goldberg and has published in prestigious journals such as Spine, The American Journal of Cardiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Matthew C. Schwartz

18 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
Matthew C. Schwartz	348	221	181	109	89	20	459
Mary Hunt Martin	387 1.1×	141 0.6×	227 1.3×	119 1.1×	167 1.9×	30	487
H. Schmitt	99 0.3×	82 0.4×	67 0.4×	55 0.5×	115 1.3×	21	461
A. Bionda	190 0.5×	127 0.6×	74 0.4×	138 1.3×	27 0.3×	19	520
Hitendra Patel	286 0.8×	159 0.7×	115 0.6×	17 0.2×	290 3.3×	19	502
Masahiko Kishiro	156 0.4×	269 1.2×	207 1.1×	14 0.1×	241 2.7×	26	462
Gary Hertzler	162 0.5×	188 0.9×	99 0.5×	186 1.7×	64 0.7×	20	436
Sébastien Renard	269 0.8×	143 0.6×	342 1.9×	25 0.2×	130 1.5×	27	548
Stefanie Adolf	360 1.0×	105 0.5×	63 0.3×	243 2.2×	10 0.1×	14	461
Seong Eon Yoon	378 1.1×	193 0.9×	54 0.3×	242 2.2×	38 0.4×	16	549
Alessandra Mazzola	311 0.9×	59 0.3×	41 0.2×	245 2.2×	16 0.2×	14	427

Countries citing papers authored by Matthew C. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Matthew C. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Schwartz. 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 Matthew C. Schwartz. The network helps show where Matthew C. Schwartz may publish in the future.

Co-authorship network of co-authors of Matthew C. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Schwartz. A scholar is included among the top collaborators of Matthew C. Schwartz 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 Matthew C. Schwartz. Matthew C. Schwartz 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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