Antonio Irpino
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Rosanna VerdeFrancisco de A.T. de CarvalhoAnnalisa CapuanoBarbara RinaldiFrancesco RossiAmelia FilippelliMario Rosario GuarracinoConcetta Rafaniello
- Topics
- Neural Networks and Applications (8 papers)Advanced Clustering Algorithms Research (6 papers)Data Management and Algorithms (4 papers)
In The Last Decade
Antonio Irpino
22 papers receiving 321 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 148
- Statistics and Probability 48
- Management Science and Operations Research 47
- Signal Processing 45
- Computational Theory and Mathematics 41
Countries citing papers authored by Antonio Irpino
This map shows the geographic impact of Antonio Irpino'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 Antonio Irpino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Irpino more than expected).
Fields of papers citing papers by Antonio Irpino
This network shows the impact of papers produced by Antonio Irpino. 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 Antonio Irpino. The network helps show where Antonio Irpino may publish in the future.
Co-authorship network of co-authors of Antonio Irpino
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Irpino. A scholar is included among the top collaborators of Antonio Irpino 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 Antonio Irpino. Antonio Irpino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 15 | |
| 12 | 35 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 46 | |
| 18 | Optimal histogram representation of large data sets: Fisher vs piecewise linear approximations | 18 |
| 19 | 6 | |
| 20 | 10 |
About Antonio Irpino
Antonio Irpino is a scholar working on Toxicology, Statistics and Probability and Artificial Intelligence, having authored 22 papers that have together received 329 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Advanced Clustering Algorithms Research (6 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Toxicology (37 citations), Geriatrics and Gerontology (32 citations) and Statistics and Probability (48 citations). Antonio Irpino has collaborated with scholars based in Italy, Brazil and Lithuania. Frequent co-authors include Rosanna Verde, Francisco de A.T. de Carvalho, Annalisa Capuano, Barbara Rinaldi, Francesco Rossi, Amelia Filippelli, Mario Rosario Guarracino, Concetta Rafaniello, Maurizio Bonati and Roberto Raschetti. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.
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.