Michael Fire
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Information Systems top 2%
- Spam and Phishing Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 7
- Advanced Graph Neural Networks 3
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- Spam and Phishing Detection 12
- Co-authors
- Yuval Elovici (20 shared papers)Carlos Guestrin (2 shared papers)Lior Rokach (8 shared papers)Dima Kagan (15 shared papers)Rami Puzis (7 shared papers)Ofrit Lesser (2 shared papers)Gilad Katz (2 shared papers)Galit Fuhrmann Alpert (4 shared papers)
- Journals
- GigaScience (3 papers)Journal Of Big Data (2 papers)Social Network Analysis and Mining (2 papers)Humanities and Social Sciences Communications (2 papers)Science and Engineering Ethics (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Michael Fire
34 papers receiving 974 citations
Peers
Comparison fields: 5 of 131
- Statistical and Nonlinear Physics 352
- Information Systems 356
- Artificial Intelligence 355
- Transportation 69
- Statistics, Probability and Uncertainty 65
Countries citing papers authored by Michael Fire
This map shows the geographic impact of Michael Fire'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 Michael Fire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fire more than expected).
Fields of papers citing papers by Michael Fire
This network shows the impact of papers produced by Michael Fire. 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 Michael Fire. The network helps show where Michael Fire may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Fire, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 201 | |
| 2 | 2011 | 147 | |
| 3 | 2014 | 82 | |
| 4 | 2013 | 69 | |
| 5 | 2013 | 68 | |
| 6 | 2015 | 54 | |
| 7 | 2012 | 43 | |
| 8 | 2013 | 33 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2012 | 28 | |
| 12 | 2016 | 27 | |
| 13 | 2013 | 24 | |
| 14 | 2012 | 20 | |
| 15 | 2012 | 19 | |
| 16 | 2013 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2012 | 16 | |
| 20 | 2021 | 15 |
About Michael Fire
Michael Fire is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science and Transportation, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spam and Phishing Detection (12 papers), Complex Network Analysis Techniques (12 papers), Human Mobility and Location-Based Analysis (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Opinion Dynamics and Social Influence (7 papers), Privacy, Security, and Data Protection (5 papers), Data Quality and Management (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (352 citations), Information Systems (356 citations), Artificial Intelligence (355 citations), Transportation (69 citations) and Statistics, Probability and Uncertainty (65 citations). Michael Fire has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Elovici, Carlos Guestrin, Lior Rokach, Dima Kagan, Rami Puzis, Ofrit Lesser, Gilad Katz, Galit Fuhrmann Alpert, Yaniv Altshuler and Jacob Moran‐Gilad. Their work appears in journals such as GigaScience, Journal Of Big Data, Social Network Analysis and Mining, Humanities and Social Sciences Communications and Science and Engineering Ethics.
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.