Filippo Menczer
Impact in
- Communication top 0.1%
- Social Media and Politics
- Statistical and Nonlinear Physics top 0.1%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 64
- Opinion Dynamics and Social Influence 32
-
- Social Media and Politics 23
- Co-authors
- Alessandro FlamminiEmilio FerraraOnur VarolClayton A. DavisAlessandro VespignaniKai‐Cheng YangMarkus JakobssonMichael Conover
- Journals
- PLoS ONE (9 papers)Scientific Reports (4 papers)Proceedings of the National Academy of Sciences (4 papers)EPJ Data Science (4 papers)Network Computation in Neural Systems (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Filippo Menczer
188 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Communication 2.4k
- Statistical and Nonlinear Physics 2.9k
- Information Systems 4.2k
- Sociology and Political Science 5.8k
- Artificial Intelligence 3.9k
Countries citing papers authored by Filippo Menczer
This map shows the geographic impact of Filippo Menczer'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 Filippo Menczer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Menczer more than expected).
Fields of papers citing papers by Filippo Menczer
This network shows the impact of papers produced by Filippo Menczer. 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 Filippo Menczer. The network helps show where Filippo Menczer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Filippo Menczer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 27 | |
| 5 | 2023 | 14 | |
| 6 | 2020 | 32 | |
| 7 | Information Pollution by Social Bots. | 2019 | 3 |
| 8 | 2019 | 3 | |
| 9 | The science of fake news Hit paper breakdown → | 2018 | 2305 |
| 10 | The spread of misinformation by social bots | 2017 | 11 |
| 11 | Lack of quality discrimination in online information markets. | 2017 | 6 |
| 12 | 2016 | 7 | |
| 13 | 2016 | 20 | |
| 14 | Proceedings of the 2014 ACM conference on Web science | 2014 | 7 |
| 15 | 2009 | 30 | |
| 16 | Remembering what we like: Toward an agent-based model of Web traffic. | 2009 | 4 |
| 17 | Bookmark hierarchies and collaborative recommendation | 2006 | 14 |
| 18 | Untranceable email cluster bombs: on agent-based distributed denial of service | 2003 | 3 |
| 19 | ARCCHNID: Adaptive Retrieval Agents Choosing Heuristic Neighborhoods | 1997 | 24 |
| 20 | ARACHNID: Adaptive Retrieval Agents Choosing Heuristic Neighborhoods for Information Discovery. | 1997 | 50 |
About Filippo Menczer
Filippo Menczer is a scholar working on Statistical and Nonlinear Physics, Communication, Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 193 papers that have together received 11.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (64 papers), Misinformation and Its Impacts (55 papers), Spam and Phishing Detection (33 papers), Opinion Dynamics and Social Influence (32 papers), Web Data Mining and Analysis (27 papers), Social Media and Politics (23 papers), Peer-to-Peer Network Technologies (21 papers) and Topic Modeling (15 papers). The work is most often cited by research in Communication (2.4k citations), Statistical and Nonlinear Physics (2.9k citations), Information Systems (4.2k citations), Sociology and Political Science (5.8k citations) and Artificial Intelligence (3.9k citations). Filippo Menczer has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Alessandro Flammini, Emilio Ferrara, Onur Varol, Clayton A. Davis, Alessandro Vespignani, Kai‐Cheng Yang, Markus Jakobsson, Michael Conover, A. Ratkiewicz and W. Nick Street. Their work appears in journals such as PLoS ONE, Scientific Reports, Proceedings of the National Academy of Sciences, EPJ Data Science and Network Computation in Neural 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.