Stephen Verzi
- Artificial Intelligence top 10%
- Physiology
- Electrical and Electronic Engineering
- Public Health, Environmental and Occupational Health
- Cognitive Neuroscience
- Co-authors
- Gregory L. HeilemanMichael GeorgiopoulosEric D. VugrinCraig M. VineyardJames B. AimoneNancy S. BrodskyM. J. R. HealyBenjamin J. Apelberg
- Topics
- Neural Networks and Applications (11 papers)Neural dynamics and brain function (6 papers)Complex Systems and Decision Making (5 papers)
- Partner nations
- United States
In The Last Decade
Stephen Verzi
41 papers receiving 480 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 189
- Physiology 137
- Electrical and Electronic Engineering 100
- Public Health, Environmental and Occupational Health 67
- Cognitive Neuroscience 66
Countries citing papers authored by Stephen Verzi
This map shows the geographic impact of Stephen Verzi'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 Stephen Verzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Verzi more than expected).
Fields of papers citing papers by Stephen Verzi
This network shows the impact of papers produced by Stephen Verzi. 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 Stephen Verzi. The network helps show where Stephen Verzi may publish in the future.
Co-authorship network of co-authors of Stephen Verzi
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Verzi. A scholar is included among the top collaborators of Stephen Verzi 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 Stephen Verzi. Stephen Verzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties. | 3 |
| 5 | 12 | |
| 6 | 69 | |
| 7 | 112 | |
| 8 | Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors. | 0 |
| 9 | 8 | |
| 10 | 32 | |
| 11 | 44 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | Complex Adaptive Systems of Systems (CASoS) Engineering: Mapping Aspirations to Problem Solutions. | 13 |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | 17 |
About Stephen Verzi
Stephen Verzi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 506 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Neural dynamics and brain function (6 papers) and Complex Systems and Decision Making (5 papers). The work is most often cited by research in Applied Psychology (34 citations), Artificial Intelligence (189 citations) and Physiology (137 citations). Stephen Verzi has collaborated with scholars based in United States. Frequent co-authors include Gregory L. Heileman, Michael Georgiopoulos, Eric D. Vugrin, Craig M. Vineyard, James B. Aimone, Nancy S. Brodsky, M. J. R. Healy, Benjamin J. Apelberg, Antonio Paredes and Brian L. Rostron. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Behavioral and Brain Sciences.
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.