Pasquale De Meo
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Sociology and Political Science top 5%
- Co-authors
- Giacomo FiumaraEmilio FerraraDomenico UrsinoGiovanni QuattroneDomenico RosaciGiuseppe M. L. SarnèRobert BaumgartnerAlessandro Provetti
- Topics
- Complex Network Analysis Techniques (34 papers)Advanced Graph Neural Networks (13 papers)Opinion Dynamics and Social Influence (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- ItalyChinaUnited Kingdom
In The Last Decade
Pasquale De Meo
90 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 755
- Statistical and Nonlinear Physics 658
- Information Systems 652
- Computer Networks and Communications 439
- Sociology and Political Science 354
Countries citing papers authored by Pasquale De Meo
This map shows the geographic impact of Pasquale De Meo'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 Pasquale De Meo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale De Meo more than expected).
Fields of papers citing papers by Pasquale De Meo
This network shows the impact of papers produced by Pasquale De Meo. 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 Pasquale De Meo. The network helps show where Pasquale De Meo may publish in the future.
Co-authorship network of co-authors of Pasquale De Meo
This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale De Meo. A scholar is included among the top collaborators of Pasquale De Meo 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 Pasquale De Meo. Pasquale De Meo 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 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 24 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 50 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | 101 | |
| 16 | 26 | |
| 17 | 26 | |
| 18 | 28 | |
| 19 | 23 | |
| 20 | 3 |
About Pasquale De Meo
Pasquale De Meo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Information Systems, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (34 papers), Advanced Graph Neural Networks (13 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (658 citations), Information Systems (652 citations) and Artificial Intelligence (755 citations). Pasquale De Meo has collaborated with scholars based in Italy, China and United Kingdom. Frequent co-authors include Giacomo Fiumara, Emilio Ferrara, Domenico Ursino, Giovanni Quattrone, Domenico Rosaci, Giuseppe M. L. Sarnè, Robert Baumgartner, Alessandro Provetti, Salvatore Catanese and Giorgio Terracina. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.