Paul Trow

1.6k citations
19 papers · 1.1k · 1 hit paper · h-index 8

Impact in

Papers in

Paul Trow

19 papers receiving 1.1k citations

Paul Trow's Hit Papers

Closing the Gap between Methodologists and End-Users:Ras a Computational Back-End 2012 · 917 citations
9170+4+9Years since publication250500750

Peers

Paul Trow
Comparison fields: 5 of 133
  • Mathematical Physics 112
  • Computational Theory and Mathematics 117
  • Oral Surgery 28
  • Surgery 151
  • Psychiatry and Mental health 48
Replace R. A. Parker with:
R. A. Parker United States
George M. Maxwell Australia
Walter Bauer United States
Alexander Duncan United States
Robert F. Coleman United States
Edward M. Bender United States
Agnes Berger United States
Zafar Iqbal Pakistan
Huiwen Chen China
Shefali Parikh India
Paul Trow relative to R. A. Parker United States R. A. Parker's profile →
Citations per field
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R. A. Parker · 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-authors

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
Closing the Gap between Methodologists and End-Users:Ras a Computational Back-End
Hit paper breakdown →
2012917
2 198765
3
Simulation-Based Comparison of Methods for Meta-Analysis of Proportions and Rates
201349
4 201734
5 199121
6 200018
7 19887
8 19907
9 19865
10 19954
11 19883
12 20013
13 19982
14 19932
15 20012
16 19912
17 19801
18 19801
19 19981

About Paul Trow

Paul Trow is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering, 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), graph theory and CDMA systems (2 papers), Coding theory and cryptography (2 papers), DNA and Biological Computing (2 papers), Data Analysis with R (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Mathematical Physics (112 citations), Computational Theory and Mathematics (117 citations), Oral Surgery (28 citations), Surgery (151 citations) and Psychiatry and Mental health (48 citations). Paul Trow has collaborated with scholars based in United States and India. Frequent co-authors include Christopher H. Schmid, Thomas A Trikalinos, Joseph Lau, Byron Wallace, Issa J Dahabreh, Brian Marcus, Mike Boyle, Anthony Quas, Bruce Kitchens and Yan Sun. 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 Statistics in Medicine.

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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