William Maddox

474 citations
6 papers · 59 · h-index 5

Impact in

Papers in

William Maddox

6 papers receiving 55 citations

Peers

William Maddox
Comparison fields: 5 of 33
  • General Decision Sciences 9
  • Internal Medicine 7
  • Cardiology and Cardiovascular Medicine 27
  • Applied Psychology 4
  • Cognitive Neuroscience 14
Replace Stanislava Jakubíček with:
Stanislava Jakubíček Czechia
Yoshie Nakajima Japan
S. A. Tupputi Italy
Mikella A Green United States
Šárka Malá Czechia
Lianjun Gao China
Hyungsub Shim United States
Pradeep Kumar Devarakonda United States
Helena Cramer Veiga Rey Brazil
Fateme Rajabiyazdi Canada
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Citations per field
00.5×1.5×2.3×
Stanislava Jakubíček · 1×
Citations per year

Countries citing papers authored by William Maddox

Since Specialization
Citations

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

Fields of papers citing papers by William Maddox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Maddox, 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 William Maddox Line = papers co-authored together William Maddox links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 199616
2 200114
3 199012
4 19929
5 19837
6 20161

About William Maddox

William Maddox is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pharmacology, Health Information Management and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 59 indexed citations. Recurring topics across this work include Blood properties and coagulation (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Electronic Health Records Systems (1 paper), Inflammatory mediators and NSAID effects (1 paper), Acute Myocardial Infarction Research (1 paper), Antiplatelet Therapy and Cardiovascular Diseases (1 paper), Coronary Interventions and Diagnostics (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in General Decision Sciences (9 citations), Internal Medicine (7 citations), Cardiology and Cardiovascular Medicine (27 citations), Applied Psychology (4 citations) and Cognitive Neuroscience (14 citations). William Maddox has collaborated with scholars based in United States and Canada. Frequent co-authors include F. Gregory Ashby, Charles E. Rackley, James A. Heinsimer, Raymond D. Magorien, Robert J. Carney, John M. Kalbfleisch, W. Barton Campbell, Mitchell W. Krucoff, Richard S. Kent and Huey G. McDaniel. Their work appears in journals such as The American Journal of Cardiology, Journal of Experimental Psychology Human Perception & Performance, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Innovations in Cardiac Rhythm Management.

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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