Robert Hinch

26 papers receiving 883 citations

Robert Hinch's Hit Papers

The epidemiological impact of the NHS COVID-19 app 2021 · 163 citations
1630+1+3Years since publication50100150

Peers

Robert Hinch
Comparison fields: 5 of 113
  • Modeling and Simulation 129
  • Cardiology and Cardiovascular Medicine 341
  • Cellular and Molecular Neuroscience 161
  • Information Systems 175
  • Molecular Biology 488
Replace Christian L. Vestergaard with:
Christian L. Vestergaard France
Haitao Song China
Mizuki Morita Japan
Soumya Banerjee United Kingdom
Christine Nardini Italy
Dennis Jackson United States
Karen Duca United States
Koichi Takeuchi Japan
Jason Xu United States
John D. Ross United States
Robert Hinch relative to Christian L. Vestergaard France Christian L. Vestergaard's profile →
Citations per field
00.5×10×15.9×
Christian L. Vestergaard · 1×
Citations per year

Countries citing papers authored by Robert Hinch

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hinch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The epidemiological impact of the NHS COVID-19 app
Hit paper breakdown →
2021163
2 200599
3 200498
4 201972
5 202163
6 200459
7 200448
8 200446
9 202034
10 200533
11 200731
12 200527
13 200423
14 202320
15 202219
16 200219
17 20229
18 20048
19 20227
20 20076

About Robert Hinch

Robert Hinch is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 28 papers that have together received 902 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (9 papers), COVID-19 epidemiological studies (6 papers), Neuroscience and Neural Engineering (5 papers), stochastic dynamics and bifurcation (5 papers), CRISPR and Genetic Engineering (3 papers), Gene Regulatory Network Analysis (3 papers) and COVID-19 Digital Contact Tracing (2 papers). The work is most often cited by research in Modeling and Simulation (129 citations), Cardiology and Cardiovascular Medicine (341 citations), Cellular and Molecular Neuroscience (161 citations), Information Systems (175 citations) and Molecular Biology (488 citations). Robert Hinch has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Joseph L. Greenstein, Raimond L. Winslow, Antti Tanskanen, Christophe Fraser, Lucie Abeler‐Dörner, Anjali Gupta Hinch, David Bonsall, Chris Wymant, Stephen Coombes and Yulia Timofeeva. Their work appears in journals such as Progress in Biophysics and Molecular Biology, Biophysical Journal, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Scientific Reports and Journal of Theoretical 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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