Brian Howard

886 citations
34 papers · 605 · h-index 11

Impact in

Papers in

Brian Howard

31 papers receiving 596 citations

Peers

Brian Howard
Comparison fields: 5 of 59
  • Biotechnology 132
  • Cardiology and Cardiovascular Medicine 252
  • Transplantation 10
  • Surgery 79
  • Computational Theory and Mathematics 32
Replace Jiyoung Yoon with:
Jiyoung Yoon South Korea
Chung‐Yi Chang Taiwan
Žarko Milošević Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Brian Howard

Since Specialization
Citations

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

Fields of papers citing papers by Brian Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Howard. 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 Brian Howard. The network helps show where Brian Howard may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian Howard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Howard Line = papers co-authored together Brian Howard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018152
2 202280
3 202075
4 202174
5 201660
6 202256
7 199619
8 201718
9
Fixed points and extensionality in typed functional programming languages
199211
10 199010
11 200210
12 20165
13 20204
14 20154
15 20243
16 20133
17
Labeling techniques and typed fixed-point operators
19992
18 20222
19 20162
20 20162

About Brian Howard

Brian Howard is a scholar working on Artificial Intelligence, Surgery, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Biomedical Engineering, having authored 34 papers that have together received 605 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Logic, Reasoning, and Knowledge (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Mechanical Circulatory Support Devices (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Transplantation: Methods and Outcomes (3 papers), Formal Methods in Verification (3 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Biotechnology (132 citations), Cardiology and Cardiovascular Medicine (252 citations), Transplantation (10 citations), Surgery (79 citations) and Computational Theory and Mathematics (32 citations). Brian Howard has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Mark T. Stewart, Atul Verma, David E. Haines, Noah Barka, Nicole Kirchhof, Birce Önal, Lars M. Mattison, Damijan Miklavčič, E Grassl and Daniel C. Sigg. Their work appears in journals such as Heart Rhythm, Circulation Arrhythmia and Electrophysiology, Journal of Visualized Experiments, Frontiers in Pharmacology and Pflügers Archiv - European Journal of Physiology.

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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