Richard J. Haskell

21 total papers · 591 total citations
19 papers, 428 citations indexed

About

Richard J. Haskell is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Richard J. Haskell has authored 19 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Richard J. Haskell's work include Cardiac Arrhythmias and Treatments (6 papers), Cardiac pacing and defibrillation studies (5 papers) and Hemodynamic Monitoring and Therapy (3 papers). Richard J. Haskell is often cited by papers focused on Cardiac Arrhythmias and Treatments (6 papers), Cardiac pacing and defibrillation studies (5 papers) and Hemodynamic Monitoring and Therapy (3 papers). Richard J. Haskell collaborates with scholars based in United States. Richard J. Haskell's co-authors include William J. French, J. Stephan Stapczynski, Michael M. Laks, Leonard E. Ginzton, Karlman Wasserman, Richard Casaburi, Robert J. Rothstein, S. Spitzer, James T. Niemann and Howard A. Bessen and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Medicine.

In The Last Decade

Richard J. Haskell

19 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Richard J. Haskell 221 135 97 88 41 19 428
Salvador Sialer 236 1.1× 112 0.8× 37 0.4× 76 0.9× 87 2.1× 15 480
Gerald J. Simkus 218 1.0× 114 0.8× 46 0.5× 80 0.9× 38 0.9× 14 422
Robert J. Corliss 207 0.9× 68 0.5× 34 0.4× 69 0.8× 72 1.8× 19 403
Geneviève Giraldeau 314 1.4× 79 0.6× 29 0.3× 124 1.4× 58 1.4× 29 483
A Quadri 217 1.0× 264 2.0× 37 0.4× 50 0.6× 21 0.5× 24 460
Iqbal Mustafa 134 0.6× 188 1.4× 59 0.6× 175 2.0× 16 0.4× 11 463
Reto Basciani 198 0.9× 100 0.7× 42 0.4× 115 1.3× 31 0.8× 24 427
Shoji Iwaya 237 1.1× 156 1.2× 128 1.3× 63 0.7× 31 0.8× 16 421
S. H. Taylor 256 1.2× 81 0.6× 53 0.5× 141 1.6× 33 0.8× 24 480
Remo Luciani 130 0.6× 87 0.6× 52 0.5× 117 1.3× 21 0.5× 16 393

Countries citing papers authored by Richard J. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Haskell. 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 Richard J. Haskell. The network helps show where Richard J. Haskell may publish in the future.

Co-authorship network of co-authors of Richard J. Haskell

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Haskell. A scholar is included among the top collaborators of Richard J. Haskell 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 Richard J. Haskell. Richard J. Haskell 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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