Gennaro Vessio
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Neurology top 10%
- Physiology
- Cognitive Neuroscience
- Co-authors
- Giovanna CastellanoGiuseppe PirloDonato ImpedovoMoises DíazMomina MoetesumImran SiddiqiCorrado MencarMiguel A. Ferrer
- Topics
- Handwritten Text Recognition Techniques (10 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)Anomaly Detection Techniques and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
In The Last Decade
Gennaro Vessio
47 papers receiving 745 citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 256
- Artificial Intelligence 227
- Neurology 152
- Physiology 116
- Cognitive Neuroscience 95
Countries citing papers authored by Gennaro Vessio
This map shows the geographic impact of Gennaro Vessio'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 Gennaro Vessio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gennaro Vessio more than expected).
Fields of papers citing papers by Gennaro Vessio
This network shows the impact of papers produced by Gennaro Vessio. 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 Gennaro Vessio. The network helps show where Gennaro Vessio may publish in the future.
Co-authorship network of co-authors of Gennaro Vessio
This figure shows the co-authorship network connecting the top 25 collaborators of Gennaro Vessio. A scholar is included among the top collaborators of Gennaro Vessio 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 Gennaro Vessio. Gennaro Vessio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 27 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 39 | |
| 12 | 50 | |
| 13 | 20 | |
| 14 | 35 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 57 | |
| 18 | A new ConvNet architecture for heartbeat classification | 2 |
| 19 | Reasoning on Starvation in AODV using Abstract State Machines | 0 |
| 20 | CoreASM-based Evaluation of the N-AODV Protocol for Mobile Ad-hoc Networks | 1 |
About Gennaro Vessio
Gennaro Vessio is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 51 papers that have together received 780 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Vision and Pattern Recognition (256 citations) and Neurology (152 citations). Gennaro Vessio has collaborated with scholars based in Italy, Spain and Poland. Frequent co-authors include Giovanna Castellano, Giuseppe Pirlo, Donato Impedovo, Moises Díaz, Momina Moetesum, Imran Siddiqi, Corrado Mencar, Miguel A. Ferrer, Ciro Castiello and Eufemia Lella. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.