J. Mark Haugland

9 total papers · 732 total citations
8 papers, 546 citations indexed

About

J. Mark Haugland is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Internal Medicine. According to data from OpenAlex, J. Mark Haugland has authored 8 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in General Health Professions and 2 papers in Internal Medicine. Recurrent topics in J. Mark Haugland's work include Venous Thromboembolism Diagnosis and Management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Cardiac tumors and thrombi (2 papers). J. Mark Haugland is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Cardiac tumors and thrombi (2 papers). J. Mark Haugland collaborates with scholars based in United States, Poland and Germany. J. Mark Haugland's co-authors include Frank L. Mikell, Morrison Hodges, Richard Asinger, Joseph Elsperger, Gregory Granrud, Gordon J. Conard, Timothy D. Henry, Carolyn H. McCabe, Christopher P. Cannon and Marc J. Schweiger and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

J. Mark Haugland

8 papers receiving 493 citations

Author Peers

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

Author Last Decade Papers Cites
J. Mark Haugland 417 183 124 72 56 8 546
Lawrence J. Lambrecht 58 0.1× 112 0.6× 55 0.4× 82 1.1× 83 1.5× 10 474
Cindy Madden 482 1.2× 201 1.1× 188 1.5× 109 1.5× 19 0.3× 9 598
Ralf Beyrau 277 0.7× 118 0.6× 23 0.2× 136 1.9× 62 1.1× 13 497
Christine Gaud 285 0.7× 148 0.8× 112 0.9× 18 0.3× 35 0.6× 10 498
Axel Kaiser 518 1.2× 209 1.1× 23 0.2× 291 4.0× 62 1.1× 10 569
Pritesh Bodalia 461 1.1× 38 0.2× 217 1.8× 14 0.2× 38 0.7× 7 613
Daniel C. Bezerra 262 0.6× 99 0.5× 66 0.5× 37 0.5× 32 0.6× 13 567
Heidi E. Quist 317 0.8× 81 0.4× 26 0.2× 153 2.1× 20 0.4× 12 509
H.T. Howat 80 0.2× 215 1.2× 72 0.6× 15 0.2× 9 0.2× 7 528
William M. Byra 424 1.0× 56 0.3× 94 0.8× 47 0.7× 25 0.4× 16 503

Countries citing papers authored by J. Mark Haugland

Since Specialization
Citations

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

Fields of papers citing papers by J. Mark Haugland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Mark Haugland

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