Massimiliano Versace
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Stephen GrossbergRushi BhattOliver HindsAnatoli GorchetchnikovHeather AmesEnnio MingollaGreg SniderHisham Abdalla
- Topics
- Neural dynamics and brain function (16 papers)Advanced Memory and Neural Computing (13 papers)Neural Networks and Applications (6 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceManagement Science and Operations Research
- Partner nations
- United StatesItalyIndia
In The Last Decade
Massimiliano Versace
23 papers receiving 475 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 255
- Electrical and Electronic Engineering 192
- Cellular and Molecular Neuroscience 127
- Artificial Intelligence 121
- Management Science and Operations Research 84
Countries citing papers authored by Massimiliano Versace
This map shows the geographic impact of Massimiliano Versace'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 Massimiliano Versace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano Versace more than expected).
Fields of papers citing papers by Massimiliano Versace
This network shows the impact of papers produced by Massimiliano Versace. 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 Massimiliano Versace. The network helps show where Massimiliano Versace may publish in the future.
Co-authorship network of co-authors of Massimiliano Versace
This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Versace. A scholar is included among the top collaborators of Massimiliano Versace 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 Massimiliano Versace. Massimiliano Versace is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 21 | |
| 8 | CONTEXT SENSITIVITY WITH NEURAL NETWORKS IN FINANCIAL DECISION PROCESSES | 2 |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 107 | |
| 18 | 9 | |
| 19 | From Synapse to Self: Spikes, Synchrony, and Attentive Learning by Laminar Thalamocortical Circuits | 3 |
| 20 | 8 |
About Massimiliano Versace
Massimiliano Versace is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Management Science and Operations Research, having authored 24 papers that have together received 502 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Advanced Memory and Neural Computing (13 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (255 citations), Cellular and Molecular Neuroscience (127 citations) and Management Science and Operations Research (84 citations). Massimiliano Versace has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Stephen Grossberg, Rushi Bhatt, Oliver Hinds, Anatoli Gorchetchnikov, Heather Ames, Ennio Mingolla, Greg Snider, Hisham Abdalla, Rick Amerson and Michael E. Hasselmo. Their work appears in journals such as Brain Research, Expert Systems with Applications and Computer.
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.