Alan Perotti

689 citations
33 papers · 494 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Explainable Artificial Intelligence (XAI)
    • Multi-Agent Systems and Negotiation
    • Semantic Web and Ontologies

Papers in

Alan Perotti

29 papers receiving 479 citations

Peers

Alan Perotti
Comparison fields: 5 of 74
  • Health Informatics 33
  • Artificial Intelligence 318
  • Safety Research 33
  • Health Information Management 21
  • Transportation 13
Replace Josua Krause with:
Josua Krause United States
Paweł Budzianowski United Kingdom
Ivan Donadello Italy
Rashi Kohli India
Yihuai Lan China
Biao Zhao China
Xuanjing Huang China
Abhaya Kumar Sahoo India
Shijie Wang China
Álvaro Carrera Spain
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Citations per year

Countries citing papers authored by Alan Perotti

Since Specialization
Citations

This map shows the geographic impact of Alan Perotti'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 Alan Perotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Perotti more than expected).

Fields of papers citing papers by Alan Perotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Perotti. 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 Alan Perotti. The network helps show where Alan Perotti may publish in the future.

Co-authors

The 25 scholars most cited alongside Alan Perotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan Perotti Line = papers co-authored together Alan Perotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 202371
3 202167
4 202156
5 201723
6 202319
7 202316
8
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.
202014
9 201312
10 201812
11 20129
12 20128
13
Conditional Labelling for Abstract Argumentation.
20116
14 20236
15 20235
16 20244
17
Coalition Formation via Negotiation in Multiagent Systems with Voluntary Attacks
20103
18 20213
19 20243
20 20122

About Alan Perotti

Alan Perotti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Safety Research, Building and Construction and Computational Theory and Mathematics, having authored 33 papers that have together received 494 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (12 papers), Multi-Agent Systems and Negotiation (6 papers), Advanced Neural Network Applications (3 papers), Formal Methods in Verification (2 papers), Traffic Prediction and Management Techniques (2 papers), Ethics and Social Impacts of AI (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Health Informatics (33 citations), Artificial Intelligence (318 citations), Safety Research (33 citations), Health Information Management (21 citations) and Transportation (13 citations). Alan Perotti has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Dino Pedreschi, Cecilia Panigutti, Paolo Bajardi, Elvio Gilberto Amparore, André Panisson, Fosca Giannotti, Salvatore Rinzivillo, Andrea Beretta, Serena Villata and Leendert van der Torre. Their work appears in journals such as PeerJ Computer Science, EPJ Data Science, Information Processing & Management, ACM Transactions on Interactive Intelligent Systems and Journal of Personalized Medicine.

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.

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