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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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 4
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- Human Mobility and Location-Based Analysis 4
- Co-authors
- Yuval Elovici (15 shared papers)Carlos Guestrin (2 shared papers)Dima Kagan (15 shared papers)Rami Puzis (6 shared papers)Lior Rokach (5 shared papers)Ofrit Lesser (2 shared papers)Galit Fuhrmann Alpert (4 shared papers)Jacob Moran‐Gilad (1 shared paper)
- Journals
- GigaScience (3 papers)Humanities and Social Sciences Communications (2 papers)Social Network Analysis and Mining (2 papers)Journal of Statistical Physics (1 paper)Networks and Spatial Economics (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Michael Fire
26 papers receiving 729 citations
Peers
Comparison fields: 5 of 128
- Statistical and Nonlinear Physics 247
- Information Systems 267
- Artificial Intelligence 273
- Statistics, Probability and Uncertainty 60
- Transportation 54
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 21 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 175 | |
| 2 | 2011 | 118 | |
| 3 | 2014 | 69 | |
| 4 | 2013 | 60 | |
| 5 | 2013 | 57 | |
| 6 | 2015 | 45 | |
| 7 | 2013 | 29 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2012 | 23 | |
| 12 | 2013 | 22 | |
| 13 | 2013 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2012 | 13 | |
| 17 | Social Privacy Protector - Protecting Users' Privacy in Social Networks | 2012 | 13 |
| 18 | 2012 | 12 | |
| 19 | 2014 | 9 | |
| 20 | 2023 | 3 |
About Michael Fire
Michael Fire is a scholar working on Statistical and Nonlinear Physics, Transportation, Information Systems, Artificial Intelligence and Computer Science Applications, having authored 32 papers that have together received 770 indexed citations. Recurring topics across this work include Spam and Phishing Detection (11 papers), Complex Network Analysis Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Privacy, Security, and Data Protection (5 papers), Opinion Dynamics and Social Influence (4 papers), Human Mobility and Location-Based Analysis (4 papers), Advanced Graph Neural Networks (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (247 citations), Information Systems (267 citations), Artificial Intelligence (273 citations), Statistics, Probability and Uncertainty (60 citations) and Transportation (54 citations). Michael Fire has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Elovici, Carlos Guestrin, Dima Kagan, Rami Puzis, Lior Rokach, Ofrit Lesser, Galit Fuhrmann Alpert, Jacob Moran‐Gilad, Haya Shulman and Amir Herzberg. Their work appears in journals such as GigaScience, Humanities and Social Sciences Communications, Social Network Analysis and Mining, Journal of Statistical Physics and Networks and Spatial Economics.
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.