Michael Fire

1.6k citations
32 papers · 770 indexed · h-index 14

Impact in

Papers in

Michael Fire

26 papers receiving 729 citations

Peers

Michael Fire
Comparison fields: 5 of 128
  • Statistical and Nonlinear Physics 247
  • Information Systems 267
  • Artificial Intelligence 273
  • Statistics, Probability and Uncertainty 60
  • Transportation 54
Replace Shuo Yu with:
Shuo Yu China
Jana Diesner United States
Martin Szomszor United Kingdom
Benjamin Markines United States
Zhesi Shen China
Marko A. Rodriguez United States
Jinshan Wu China
Xiaolin Shi United States
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David Hall United States
Michael Fire relative to Shuo Yu China Shuo Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Fire

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Fire Line = papers co-authored together Michael Fire links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 2011118
3 201469
4 201360
5 201357
6 201545
7 201329
8 202026
9 201824
10 201624
11 201223
12 201322
13 201314
14 202313
15 202113
16 201213
17
Social Privacy Protector - Protecting Users' Privacy in Social Networks
201213
18 201212
19 20149
20 20233

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.

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