Jonathan Shapiro
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- General Health Professions top 10%
- Aerospace Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Stephen MarslandUlrich NehmzowAdam Prügel‐BennettTom DuckettMagnus RattrayTim RobinsonThomas CroninPatricia Lenahan
- Topics
- Neural Networks and Applications (13 papers)Evolutionary Algorithms and Applications (9 papers)Healthcare Policy and Management (7 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan Shapiro
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 577
- Computer Vision and Pattern Recognition 245
- General Health Professions 195
- Aerospace Engineering 167
- Computational Theory and Mathematics 135
Countries citing papers authored by Jonathan Shapiro
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 109 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | Acute sector. Any future for the non-foundations? | 1 |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 12 | |
| 11 | Scaling of Probability-Based Optimization Algorithms | 10 |
| 12 | 237 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 0 | |
| 16 | Genetic algorithm dynamics in two-well potentials with basins and barrier | 11 |
| 17 | 6 | |
| 18 | Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning | 27 |
| 19 | Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks | 2 |
| 20 | 4 |
About Jonathan Shapiro
Jonathan Shapiro is a scholar working on Health Information Management, Artificial Intelligence and Emergency Medical Services, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Evolutionary Algorithms and Applications (9 papers) and Healthcare Policy and Management (7 papers). The work is most often cited by research in Artificial Intelligence (577 citations), Computer Vision and Pattern Recognition (245 citations) and Biophysics (60 citations). Jonathan Shapiro has collaborated with scholars based in United Kingdom, United States and Germany. Frequent 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. Their work appears in journals such as Physical Review Letters, Analytical Chemistry and PEDIATRICS.
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.