Paul Trow

1.6k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 7

Paul Trow

19 papers receiving 1.1k citations

Hit Papers

Closing the Gap between Methodologists and End-Users:Ras ...8992012202620162021250500750

Peers

Paul Trow
Comparison fields: 5 of 145
  • Mathematical Physics 111
  • Computational Theory and Mathematics 115
  • Internal Medicine 26
  • Surgery 236
  • Cardiology and Cardiovascular Medicine 113
Replace Walter Bauer with:
Walter Bauer United States
Weiguo Li China
Ji Hong Kim South Korea
Agnes Berger United States
Paul Gérard Belgium
Orestis A. Panagiotou United States
Shefali Parikh India
A. McCluskey United Kingdom
Steven McGee United States
Hyman Menduke United States
Paul Trow relative to Walter Bauer United States Walter Bauer's profile →
Citations per field
00.5×10×
Walter Bauer · 1×
Citations per year

Countries citing papers authored by Paul Trow

Since Specialization
Citations

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

Fields of papers citing papers by Paul Trow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Paul Trow, 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 Paul Trow Line = papers co-authored together Paul Trow links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201734
2
Simulation-Based Comparison of Methods for Meta-Analysis of Proportions and Rates
201346
3
Closing the Gap between Methodologists and End-Users:Ras a Computational Back-Endbreakdown →
2012899
4 20013
5 20012
6 200017
7 19982
8 19981
9 19954
10 19932
11 19912
12 199121
13 19906
14 19887
15 19883
16 198764
17 19865
18 19801
19 19801

About Paul Trow

Paul Trow is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Information Systems and Management, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Automata and Applications (14 papers), semigroups and automata theory (11 papers), Mathematical Dynamics and Fractals (9 papers), DNA and Biological Computing (2 papers), graph theory and CDMA systems (2 papers), Coding theory and cryptography (2 papers), Scientific Computing and Data Management (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Mathematical Physics (111 citations), Computational Theory and Mathematics (115 citations), Internal Medicine (26 citations), Surgery (236 citations) and Cardiology and Cardiovascular Medicine (113 citations). Paul Trow has collaborated with scholars based in United States and India. Frequent co-authors include Christopher H. Schmid, Thomas A Trikalinos, Issa J Dahabreh, Joseph Lau, Byron Wallace, Brian Marcus, Mike Boyle, Anthony Quas, Bruce Kitchens and Lü Tian. Their work appears in journals such as Ergodic Theory and Dynamical Systems, Israel Journal of Mathematics, Proceedings of the American Mathematical Society, Theoretical Computer Science and Memoirs of the American Mathematical Society.

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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