Jonathan Shapiro

2.6k total citations
68 papers, 1.5k citations indexed

About

Jonathan Shapiro is a scholar working on Artificial Intelligence, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Jonathan Shapiro has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in General Health Professions and 9 papers in Economics and Econometrics. Recurrent topics in Jonathan Shapiro's work include Neural Networks and Applications (13 papers), Evolutionary Algorithms and Applications (9 papers) and Healthcare Policy and Management (7 papers). Jonathan Shapiro is often cited by papers focused on Neural Networks and Applications (13 papers), Evolutionary Algorithms and Applications (9 papers) and Healthcare Policy and Management (7 papers). Jonathan Shapiro collaborates with scholars based in United Kingdom, United States and Germany. Jonathan Shapiro's co-authors include Stephen Marsland, Ulrich Nehmzow, Adam Prügel‐Bennett, Tom Duckett, Magnus Rattray, Tim Robinson, Thomas Cronin, Patricia Lenahan, Nicola Gale and Alistair Hewison and has published in prestigious journals such as Physical Review Letters, Analytical Chemistry and PEDIATRICS.

In The Last Decade

Jonathan Shapiro

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Shapiro United Kingdom 20 577 245 195 167 135 68 1.5k
Manfred Huber United States 20 363 0.6× 219 0.9× 162 0.8× 93 0.6× 55 0.4× 110 1.5k
Pieter Jonker Netherlands 22 271 0.5× 446 1.8× 84 0.4× 125 0.7× 90 0.7× 114 1.7k
Luís Paulo Reis Portugal 20 471 0.8× 389 1.6× 47 0.2× 71 0.4× 29 0.2× 291 2.1k
Andrew Johnson United States 30 255 0.4× 1.2k 4.8× 100 0.5× 164 1.0× 65 0.5× 202 3.3k
Antonio Artés-Rodrı́guez Spain 25 512 0.9× 330 1.3× 49 0.3× 48 0.3× 29 0.2× 139 2.0k
James F. Keller United States 23 672 1.2× 947 3.9× 103 0.5× 659 3.9× 129 1.0× 74 2.6k
Zhou Yu United States 24 1.0k 1.8× 355 1.4× 77 0.4× 232 1.4× 18 0.1× 136 2.5k
S.C. Douglas United States 34 582 1.0× 458 1.9× 44 0.2× 123 0.7× 68 0.5× 186 4.3k
John Clements Canada 22 296 0.5× 51 0.2× 46 0.2× 51 0.3× 126 0.9× 83 1.6k
Eric C. Larson United States 24 169 0.3× 414 1.7× 112 0.6× 23 0.1× 71 0.5× 81 1.8k

Countries citing papers authored by Jonathan Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Shapiro

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Shapiro. A scholar is included among the top collaborators of Jonathan Shapiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Shapiro. Jonathan Shapiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shapiro, Jonathan, et al.. (2015). Opponent Modeling by Expectation–Maximization and Sequence Prediction in Simplified Poker. IEEE Transactions on Computational Intelligence and AI in Games. 9(1). 11–24. 12 indexed citations
2.
Robinson, Tim, et al.. (2013). Smartphone Use and Acceptability Among Clinical Medical Students: A Questionnaire-Based Study. Journal of Medical Systems. 37(3). 9936–9936. 109 indexed citations
3.
Hewison, Alistair, et al.. (2013). An evaluation of staff engagement programmes in four National Health Service Acute Trusts. Journal of Health Organization and Management. 27(1). 85–105. 12 indexed citations
4.
Shapiro, Jonathan, et al.. (2011). How to lose friends and alienate people. BMJ. 342(may18 1). d3014–d3014. 1 indexed citations
5.
Shapiro, Jonathan, et al.. (2010). Acute sector. Any future for the non-foundations?. PubMed. 120(6231). 18–9. 1 indexed citations
6.
Shapiro, Jonathan. (2010). The NHS: the story so far (1948–2010). Clinical Medicine. 10(4). 336–338. 2 indexed citations
7.
Cohen, Arnon D., Aviv Goldbart, Itzhak Levi, Jonathan Shapiro, & Daniel Vardy. (2007). Health Provider Factors Associated with Nonattendance in Pediatric Dermatology Ambulatory Patients. Pediatric Dermatology. 24(2). 113–117. 10 indexed citations
8.
Furber, Steve, et al.. (2007). Sparse Distributed Memory Using Rank-Order Neural Codes. IEEE Transactions on Neural Networks. 18(3). 648–659. 11 indexed citations
9.
Shapiro, Jonathan. (2005). Markets in health care: taking a tiger by the tail?. Australian Health Review. 29(4). 383–385.
10.
Hirsch, Sybil, Timothy L Frank, Jonathan Shapiro, Michelle L Hazell, & Peter Frank. (2004). Development of a questionnaire weighted scoring system to target diagnostic examinations for asthma in adults: a modelling study. BMC Family Practice. 5(1). 30–30. 12 indexed citations
11.
Shapiro, Jonathan. (2002). Scaling of Probability-Based Optimization Algorithms. Research Explorer (The University of Manchester). 15. 399–406. 10 indexed citations
12.
Marsland, Stephen, Jonathan Shapiro, & Ulrich Nehmzow. (2002). A self-organising network that grows when required. Neural Networks. 15(8-9). 1041–1058. 237 indexed citations
13.
Rattray, Magnus & Jonathan Shapiro. (2001). Cumulant Dynamics of a Population under Multiplicative Selection, Mutation, and Drift. Theoretical Population Biology. 60(1). 17–31. 15 indexed citations
14.
Hirsch, Sybil, et al.. (2001). Using a Neural Network to Screen a Population for Asthma. Annals of Epidemiology. 11(6). 369–376. 19 indexed citations
15.
16.
Shapiro, Jonathan & Adam Prügel‐Bennett. (1997). Genetic algorithm dynamics in two-well potentials with basins and barrier. ePrints Soton (University of Southampton). 11 indexed citations
17.
Hirsch, Sybil, Jonathan Shapiro, & Peter Frank. (1997). Use of an artificial neural network in estimating prevalence and assessing underdiagnosis of asthma. Neural Computing and Applications. 5(2). 124–128. 6 indexed citations
18.
Rattray, Magnus & Jonathan Shapiro. (1996). Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning. Aston Publications Explorer (Aston University). 117–139. 27 indexed citations
19.
Shapiro, Jonathan & Adam Prügel‐Bennett. (1993). Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks. Research Explorer (The University of Manchester). 6. 407–414. 2 indexed citations
20.
Prügel‐Bennett, Adam & Jonathan Shapiro. (1993). The partitioning problem in unsupervised learning for nonlinear neurons. Journal of Physics A Mathematical and General. 26(24). 7417–7426. 4 indexed citations

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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