Robert Warren

801 citations
26 papers · 625 · h-index 12

Impact in

Papers in

Robert Warren

24 papers receiving 535 citations

Peers

Robert Warren
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 357
  • Internal Medicine 25
  • Cellular and Molecular Neuroscience 79
  • Electrochemistry 17
  • Genetics 64
Replace Д. С. Лебедев with:
Д. С. Лебедев Russia
Elisa Passini United Kingdom
Dimitris Parthimos United Kingdom
David E. Krummen United States
Fiona A. Chandra United States
Kenneth Tran New Zealand
Ludwik Firek Poland
Mark Restivo United States
Michael Clerx United Kingdom
P S Chen United States
Robert Warren relative to Д. С. Лебедев Russia Д. С. Лебедев's profile →
Citations per field
00.5×10×17×
Д. С. Лебедев · 1×
Citations per year

Countries citing papers authored by Robert Warren

Since Specialization
Citations

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

Fields of papers citing papers by Robert Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979242
2
The stimulus to collateral circulation.
196165
3 197951
4 197937
5 198036
6 197626
7 201324
8 200922
9 200920
10 200718
11 201112
12 196911
13 201111
14
Endocrine factors in the alterations of the blood coagulation mechanism following surgery.
19579
15 20208
16 20117
17 20076
18 20225
19 19754
20 19753

About Robert Warren

Robert Warren is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Plant Science, Molecular Biology and Cognitive Neuroscience, having authored 26 papers that have together received 625 indexed citations. Recurring topics across this work include Genome Rearrangement Algorithms (7 papers), Chromosomal and Genetic Variations (5 papers), ECG Monitoring and Analysis (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), EEG and Brain-Computer Interfaces (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (357 citations), Internal Medicine (25 citations), Cellular and Molecular Neuroscience (79 citations), Electrochemistry (17 citations) and Genetics (64 citations). Robert Warren has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Madison S. Spach, Roger C. Barr, Wallace T. Miller, David Sankoff, Abe Walston, Sam B. Edwards, D. Woodrow Benson, John Ellis, Thomas M. Gallie and John A. Williams. Their work appears in journals such as Circulation, Journal of Computational Biology, Software Practice and Experience, Semantic Web and PLoS Computational Biology.

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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