Alan Perotti

607 citations

19 papers · 301 indexed · h-index 8

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications

Papers in ⓘ

Health Informatics 4
- Artificial Intelligence in Healthcare and Education 4
Artificial Intelligence 16
- Explainable Artificial Intelligence (XAI) 8
- Machine Learning in Healthcare 5
- Adversarial Robustness in Machine Learning 2
- Semantic Web and Ontologies 2
- Logic, Reasoning, and Knowledge 2
- Multi-Agent Systems and Negotiation 2

Co-authors: Dino Pedreschi (3 shared papers)Cecilia Panigutti (3 shared papers)Paolo Bajardi (4 shared papers)Elvio Gilberto Amparore (2 shared papers)André Panisson (6 shared papers)Andrea Beretta (1 shared paper)Fosca Giannotti (1 shared paper)Salvatore Rinzivillo (1 shared paper)
Journals: Journal of Personalized Medicine (1 paper)European Journal of Cancer (1 paper)PeerJ Computer Science (1 paper)ACM Transactions on Interactive Intelligent Systems (1 paper)Frontiers in Computational Neuroscience (1 paper)
Partner nations: Italy United Kingdom Netherlands

In The Last Decade

Alan Perotti

16 papers receiving 287 citations

Peers

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

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19 of 19 papers shown

#	Work
1	Doctor XAI CINECA IRIS Institutial research information system (University of Pisa) ·Cecilia Panigutti, Alan Perotti, Dino Pedreschi	2020	97
2	To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods PeerJ Computer Science ·Elvio Gilberto Amparore, Alan Perotti, Paolo Bajardi	2021	51
3	Co-design of Human-centered, Explainable AI for Clinical Decision Support ACM Transactions on Interactive Intelligent Systems ·Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo	2023	43
4	FairLens: Auditing black-box clinical decision support systems CINECA IRIS Institutial research information system (University of Pisa) ·Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi	2021	39
5	Real-time behavioral DGA detection through machine learning Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa	2017	21
6	Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues Frontiers in Computational Neuroscience ·Alessia Celeghin, Alessio Borriero, Davide Orsenigo, Matteo Diano, Carlos Andrés Méndez Guerrero, Alan Perotti, Giovanni Petri, Marco Tamietto	2023	16
7	Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. SEBD ·Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi	2020	13
8	Understanding Network Traffic States using Transfer Learning Research Repository (Delft University of Technology) ·Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint	2018	8
9	Explaining Identity-aware Graph Classifiers through the Language of Motifs Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson	2023	4
10	Learning and reasoning about norms using neural-symbolic systems Adaptive Agents and Multi-Agents Systems ·Guido Boella, Silvano Colombo Tosatto, Artur d’Avila Garcez, Valerio Genovese, Alan Perotti, Leendert van der Torre	2012	2
11	Conditional Labelling for Abstract Argumentation. Alan Perotti, Guido Boella, Dov M. Gabbay, Leendert van der Torre, Serena Villata	2011	2
12	Machine Learning Model as a Useful Tool for Prediction of Thyroid Nodules Histology, Aggressiveness and Treatment-Related Complications Journal of Personalized Medicine ·Valeria Dell’Era, Alan Perotti, Michele Starnini, Massimo Campagnoli, Maria Silvia Rosa, Irene Saino, Paolo Aluffi Valletti, Massimiliano Garzaro	2023	1
13	LLM-Generated Class Descriptions for Semantically Meaningful Image Classification Simone Bertolotto, André Panisson, Alan Perotti	2024	1
14	Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach IRIS Research product catalog (Sapienza University of Rome) ·Elvio Gilberto Amparore, Federico Cinus, Cristiano Maestri, Leonardo Petrocchi, Dario Polinelli, Fábio Scarpa, Alan Perotti, André Panisson, Paolo Bajardi	2021	1
15	Auditing Fairness and Explainability in Chest X-Ray Image Classifiers Gemma Bordes, Alan Perotti	2024	1
16	Coalition Formation via Negotiation in Multiagent Systems with Voluntary Attacks Open Repository and Bibliography (University of Luxembourg) ·Guido Boella, Dov M. Gabbay, Alan Perotti, Serena Villata	2010	1
17	Development of an explainable AI prediction model for arm lymphoedema following breast cancer surgery and radiotherapy European Journal of Cancer ·Tim Rattay, G. Bologna, A. Bombezin-Domino, G. Cortellessa, André Dekker, Francesca Fracasso, Manuela Joore, A. Pannison, Alan Perotti, Bram Ramaekers, Sofía Rivera, A. Romita, Cheryl Roumen, Johan van Soest, A. Traverso, F. Tohidinezhad, K. Verhoeven, Adam Webb, I. Koutsopoulos, Chris J. Talbot	2024	0
18	Neural Networks for Runtime Verification Alan Perotti, Artur d’Avila Garcez, Guido Boella	2014	0
19	Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability Eliana Pastor, Eleonora Poeta, André Panisson, Alan Perotti, Gabriele Ciravegna	2025	0

About Alan Perotti

Alan Perotti is a scholar working on Health Informatics, Artificial Intelligence, Software, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 301 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (8 papers), Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Adversarial Robustness in Machine Learning (2 papers), Semantic Web and Ontologies (2 papers), Logic, Reasoning, and Knowledge (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Health Informatics (74 citations), Artificial Intelligence (204 citations), Health Information Management (17 citations), Safety Research (26 citations) and Signal Processing (20 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, Andrea Beretta, Fosca Giannotti, Salvatore Rinzivillo, Federica Bisio and Marco Tamietto. Their work appears in journals such as Journal of Personalized Medicine, European Journal of Cancer, PeerJ Computer Science, ACM Transactions on Interactive Intelligent Systems and Frontiers in Computational Neuroscience.

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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