Fosca Giannotti

252 papers receiving 13.2k citations

Fosca Giannotti's Hit Papers

Benchmarking and survey of explanation methods for black box models 2023 · 144 citations
1440+6+12Years since publication10002.0k3.0k

Peers

Fosca Giannotti
Comparison fields: 5 of 190
  • Transportation 3.9k
  • Health Informatics 521
  • Signal Processing 2.4k
  • Artificial Intelligence 5.2k
  • Media Technology 1.2k
Replace Dino Pedreschi with:
Dino Pedreschi Italy
Eric Horvitz United States
Huan Liu United States
Xia Hu United States
Nils J. Nilsson United States
Xing Xie China
Fei Qing Wu China
Nuria Oliver Spain
Jiliang Tang United States
Johannes E. Gehrke United States
Fosca Giannotti relative to Dino Pedreschi Italy Dino Pedreschi's profile →
Citations per field
00.5×5×10.5×
Dino Pedreschi · 1×
Citations per year

Countries citing papers authored by Fosca Giannotti

Since Specialization
Citations

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

Fields of papers citing papers by Fosca Giannotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fosca Giannotti, 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 Fosca Giannotti Line = papers co-authored together Fosca Giannotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 271 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of methods for explaining black box models
Hit paper breakdown →
20193255
2
Smart cities of the future
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20121654
3
Trajectory pattern mining
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2007835
4
Human mobility, social ties, and link prediction
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2011520
5
WhereNext
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2009471
6
Returners and explorers dichotomy in human mobility
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2015378
7 2019249
8 2011246
9 2004211
10 2012177
11 2009171
12 2008162
13 2008162
14 2019147
15
Benchmarking and survey of explanation methods for black box models
Hit paper breakdown →
2023144
16 2018135
17 2012118
18 2011111
19 2006109
20 2021101

About Fosca Giannotti

Fosca Giannotti is a scholar working on Transportation, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Information Systems, having authored 271 papers that have together received 13.8k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (69 papers), Data Management and Algorithms (47 papers), Complex Network Analysis Techniques (43 papers), Data Mining Algorithms and Applications (37 papers), Explainable Artificial Intelligence (XAI) (29 papers), Advanced Database Systems and Queries (26 papers), Privacy-Preserving Technologies in Data (25 papers) and Opinion Dynamics and Social Influence (22 papers). The work is most often cited by research in Transportation (3.9k citations), Health Informatics (521 citations), Signal Processing (2.4k citations), Artificial Intelligence (5.2k citations) and Media Technology (1.2k citations). Fosca Giannotti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Franco Turini, Salvatore Ruggieri, Mirco Nanni, Fabio Pinelli, Salvatore Rinzivillo, Roberto Trasarti and Mónica Wachowicz. Their work appears in journals such as EPJ Data Science, Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Social Network Analysis and Mining and IEEE Intelligent Systems.

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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