Matthew W. Segar

2.7k citations
68 papers · 1.6k indexed · h-index 21

Matthew W. Segar

60 papers receiving 1.6k citations

Peers

Matthew W. Segar
Comparison fields: 5 of 107
  • Health Informatics 59
  • Cardiology and Cardiovascular Medicine 755
  • Geriatrics and Gerontology 93
  • Health Information Management 93
  • Endocrinology, Diabetes and Metabolism 309
Replace Kershaw V. Patel with:
Kershaw V. Patel United States
Sang Eun Lee South Korea
Senthil Selvaraj United States
Xavier Rosselló Spain
Riyaz Patel United Kingdom
Andrea H. Ramirez United States
Wouter Ouwerkerk Netherlands
Angel López‐Candales United States
Christopher Edwards United States
Matthew W. Segar relative to Kershaw V. Patel United States Kershaw V. Patel's profile →
Citations per field
00.5×6.2×
Kershaw V. Patel · 1×
Citations per year

Countries citing papers authored by Matthew W. Segar

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Segar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20243
5 20245
6 20240
7 20241
8 20245
9 20244
10 20241
11 202312
12 202313
13 20235
14 202220
15 202242
16 202172
17 20212
18 20205
19 202016
20 2014120

About Matthew W. Segar

Matthew W. Segar is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (24 papers), Cardiovascular Function and Risk Factors (21 papers), Diabetes Treatment and Management (14 papers), Cardiovascular Health and Risk Factors (8 papers), Atrial Fibrillation Management and Outcomes (6 papers), Diabetes Management and Research (6 papers), Cardiac pacing and defibrillation studies (5 papers) and Frailty in Older Adults (4 papers). The work is most often cited by research in Health Informatics (59 citations), Cardiology and Cardiovascular Medicine (755 citations) and Geriatrics and Gerontology (93 citations). Matthew W. Segar has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Ambarish Pandey, Kershaw V. Patel, Justin L. Grodin, Yunlong Liu, DuWayne L. Willett, Javed Butler, Horacio Cárdenas, Kenneth P. Nephew, Daniela Matei and Jarett D. Berry. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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