Jonathan Shapiro

2.6k citations
87 papers · 1.9k · h-index 23

Impact in

Papers in

    • Neural Networks and Applications 18
    • Evolutionary Algorithms and Applications 18
    • Metaheuristic Optimization Algorithms Research 12
    • Anomaly Detection Techniques and Applications 6
    • Neural dynamics and brain function 10

Jonathan Shapiro

84 papers receiving 1.8k citations

Peers

Jonathan Shapiro
Comparison fields: 5 of 148
  • Artificial Intelligence 882
  • Computer Vision and Pattern Recognition 320
  • Computational Theory and Mathematics 215
  • Biophysics 64
  • Physical Therapy, Sports Therapy and Rehabilitation 37
Replace Pieter Jonker with:
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002288
2 1994149
3 2013111
4 200299
5 200294
6 199777
7 200573
8 201456
9 200553
10 201150
11 200642
12 200042
13 199440
14 199237
15 201636
16
Family medicine in a culturally diverse world: a solution-oriented approach to common cross-cultural problems in medical encounters.
199631
17
Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning
199631
18 201528
19 200126
20 200025

About Jonathan Shapiro

Jonathan Shapiro is a scholar working on Artificial Intelligence, Cognitive Neuroscience, General Health Professions, Economics and Econometrics and Computer Networks and Communications, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (12 papers), Neural dynamics and brain function (10 papers), Anomaly Detection Techniques and Applications (6 papers), Healthcare Policy and Management (6 papers), Health Services Management and Policy (4 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Artificial Intelligence (882 citations), Computer Vision and Pattern Recognition (320 citations), Computational Theory and Mathematics (215 citations), Biophysics (64 citations) and Physical Therapy, Sports Therapy and Rehabilitation (37 citations). Jonathan Shapiro has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen Marsland, Adam Prügel‐Bennett, Ulrich Nehmzow, Tom Duckett, Magnus Rattray, Patricia Lenahan, Thomas Cronin, Tim Robinson, Alistair Hewison and Hao Wu. Their work appears in journals such as Network Computation in Neural Systems, Lecture notes in computer science, Implementation Science, IEEE Transactions on Computational Intelligence and AI in Games and Public Health.

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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