André Panisson

1.6k total citations
35 papers, 730 citations indexed

About

André Panisson is a scholar working on Artificial Intelligence, Sociology and Political Science and Transportation. According to data from OpenAlex, André Panisson has authored 35 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 8 papers in Transportation. Recurrent topics in André Panisson's work include Human Mobility and Location-Based Analysis (8 papers), Misinformation and Its Impacts (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). André Panisson is often cited by papers focused on Human Mobility and Location-Based Analysis (8 papers), Misinformation and Its Impacts (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). André Panisson collaborates with scholars based in Italy, United States and France. André Panisson's co-authors include Ciro Cattuto, Laëtitia Gauvin, Michele Tizzoni, Daniela Paolotti, Alain Barrat, Michele Tizzani, Michele Starnini, Paolo Bajardi, Giancarlo Ruffo and Nicola Perra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

André Panisson

32 papers receiving 706 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
André Panisson Italy 15 187 148 144 143 129 35 730
Anmol Madan United States 10 167 0.9× 111 0.8× 66 0.5× 111 0.8× 147 1.1× 16 673
Matteo Zignani Italy 14 174 0.9× 115 0.8× 167 1.2× 83 0.6× 193 1.5× 61 542
Vedran Sekara Denmark 10 245 1.3× 163 1.1× 68 0.5× 52 0.4× 232 1.8× 17 762
Jon Kleinberg United States 7 659 3.5× 188 1.3× 134 0.9× 240 1.7× 233 1.8× 13 1.0k
Olivia Woolley-Meza Switzerland 7 264 1.4× 155 1.0× 68 0.5× 72 0.5× 70 0.5× 11 733
Riley Crane United States 5 425 2.3× 204 1.4× 97 0.7× 118 0.8× 59 0.5× 7 762
Katayoun Farrahi United Kingdom 15 127 0.7× 71 0.5× 107 0.7× 126 0.9× 334 2.6× 37 816
Samarth Swarup United States 16 157 0.8× 239 1.6× 72 0.5× 194 1.4× 47 0.4× 89 976
Marco Quaggiotto Italy 5 370 2.0× 74 0.5× 91 0.6× 88 0.6× 103 0.8× 5 718
Piotr Bródka Poland 15 332 1.8× 115 0.8× 102 0.7× 195 1.4× 26 0.2× 52 794

Countries citing papers authored by André Panisson

Since Specialization
Citations

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

Fields of papers citing papers by André Panisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Panisson

This figure shows the co-authorship network connecting the top 25 collaborators of André Panisson. A scholar is included among the top collaborators of André Panisson 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 André Panisson. André Panisson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Khosla, Megha, et al.. (2024). DINE: Dimensional Interpretability of Node Embeddings. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7986–7997. 1 indexed citations
2.
Morales, Gianmarco De Francisci, et al.. (2023). The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections. arXiv (Cornell University). 2852–2862. 2 indexed citations
3.
Mejova, Yelena, Kyriaki Kalimeri, André Panisson, et al.. (2023). Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study. SHILAP Revista de lepidopterología. 3. e44714–e44714. 11 indexed citations
4.
Perotti, Alan, Paolo Bajardi, Francesco Bonchi, & André Panisson. (2023). Explaining Identity-aware Graph Classifiers through the Language of Motifs. 1–8. 4 indexed citations
5.
Panisson, André, et al.. (2022). Time-varying graph representation learning via higher-order skip-gram with negative sampling. EPJ Data Science. 11(1). 33–33. 1 indexed citations
6.
Karsai, Márton, et al.. (2022). Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. Frontiers in Big Data. 5. 1006352–1006352. 2 indexed citations
7.
Panigutti, Cecilia, Alan Perotti, André Panisson, Paolo Bajardi, & Dino Pedreschi. (2021). FairLens: Auditing black-box clinical decision support systems. CINECA IRIS Institutial research information system (University of Pisa). 39 indexed citations
8.
Amparore, Elvio Gilberto, et al.. (2021). 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). 1–6. 1 indexed citations
9.
Panisson, André, et al.. (2020). Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.. SEBD. 100–107. 13 indexed citations
10.
Tizzoni, Michele, André Panisson, Daniela Paolotti, & Ciro Cattuto. (2020). The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. PLoS Computational Biology. 16(3). e1007633–e1007633. 19 indexed citations
11.
Gozzi, Nicolò, Michele Tizzani, Michele Starnini, et al.. (2020). Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis. Journal of Medical Internet Research. 22(10). e21597–e21597. 94 indexed citations
12.
Bonchi, Francesco, et al.. (2020). Generating Realistic Interest-Driven Information Cascades. Proceedings of the International AAAI Conference on Web and Social Media. 14. 107–118.
13.
Gauvin, Laëtitia, Michele Tizzoni, Ciro Cattuto, et al.. (2019). Predicting City Poverty Using Satellite Imagery. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 90–96. 21 indexed citations
14.
Ozella, Laura, Laëtitia Gauvin, Luca Carenzo, et al.. (2019). Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study. Journal of Medical Internet Research. 21(4). e12251–e12251. 7 indexed citations
15.
Kiti, Moses C., Michele Tizzoni, Timothy Kinyanjui, et al.. (2016). Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors. EPJ Data Science. 5(1). 21–21. 45 indexed citations
16.
Bajardi, Paolo, et al.. (2015). Unveiling patterns of international communities in a global city using mobile phone data. EPJ Data Science. 4(1). 28 indexed citations
17.
Panisson, André, et al.. (2015). Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition. The HKU Scholars Hub (University of Hong Kong). 516–523. 9 indexed citations
18.
Gauvin, Laëtitia, André Panisson, & Ciro Cattuto. (2014). Detecting the Community Structure and Activity Patterns of Temporal Networks: A Non-Negative Tensor Factorization Approach. PLoS ONE. 9(1). e86028–e86028. 139 indexed citations
19.
Gauvin, Laëtitia, André Panisson, Ciro Cattuto, & Alain Barrat. (2013). Activity clocks: spreading dynamics on temporal networks of human contact. Scientific Reports. 3(1). 3099–3099. 34 indexed citations
20.
Milanesio, Marco, et al.. (2010). From Recordings to Recommendations: Suggesting Live Events in the DVR Context.. Conference on Recommender Systems. 676. 43–46. 1 indexed citations

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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