Nadav Eiron
Impact in
- Information Systems top 1%
- Web Data Mining and Analysis
- Service-Oriented Architecture and Web Services
- Information Retrieval and Search Behavior
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Machine Learning and Algorithms 7
- Algorithms and Data Compression 6
- Semantic Web and Ontologies 4
- Machine Learning and Data Classification 3
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- Web Data Mining and Analysis 12
- Spam and Phishing Detection 2
- Co-authors
- Kevin S. McCurley (9 shared papers)John A. Tomlin (5 shared papers)Jason Y. Zien (4 shared papers)Daniel Gruhl (4 shared papers)Stephen Dill (4 shared papers)Anant Jhingran (4 shared papers)Andrew Tomkins (4 shared papers)Sridhar Rajagopalan (4 shared papers)
- Journals
- Journal of Computer and System Sciences (2 papers)Theoretical Computer Science (1 paper)Journal of Web Semantics (1 paper)Machine Learning (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nadav Eiron
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Information Systems 744
- Artificial Intelligence 805
- Signal Processing 143
- Statistical and Nonlinear Physics 136
- Management Science and Operations Research 133
Countries citing papers authored by Nadav Eiron
This map shows the geographic impact of Nadav Eiron'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 Nadav Eiron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadav Eiron more than expected).
Fields of papers citing papers by Nadav Eiron
This network shows the impact of papers produced by Nadav Eiron. 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 Nadav Eiron. The network helps show where Nadav Eiron may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadav Eiron, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 368 | |
| 2 | 2004 | 163 | |
| 3 | 2003 | 129 | |
| 4 | 2003 | 105 | |
| 5 | 2006 | 68 | |
| 6 | 2003 | 64 | |
| 7 | 2001 | 63 | |
| 8 | 1995 | 52 | |
| 9 | 2002 | 44 | |
| 10 | 2003 | 42 | |
| 11 | 2006 | 32 | |
| 12 | 2003 | 20 | |
| 13 | Locality, Hierarchy, and Bidirectionality in the Web∗ | 2003 | 18 |
| 14 | 1998 | 13 | |
| 15 | 1999 | 9 | |
| 16 | 2003 | 8 | |
| 17 | 2001 | 8 | |
| 18 | 2004 | 6 | |
| 19 | 2003 | 2 | |
| 20 | 2002 | 2 |
About Nadav Eiron
Nadav Eiron is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Statistical and Nonlinear Physics and Signal Processing, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (12 papers), Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (6 papers), Complex Network Analysis Techniques (5 papers), Semantic Web and Ontologies (4 papers), Machine Learning and Data Classification (3 papers), Spam and Phishing Detection (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Information Systems (744 citations), Artificial Intelligence (805 citations), Signal Processing (143 citations), Statistical and Nonlinear Physics (136 citations) and Management Science and Operations Research (133 citations). Nadav Eiron has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Kevin S. McCurley, John A. Tomlin, Jason Y. Zien, Daniel Gruhl, Stephen Dill, Anant Jhingran, Andrew Tomkins, Sridhar Rajagopalan, David Gibson and Tapas Kanungo. Their work appears in journals such as Journal of Computer and System Sciences, Theoretical Computer Science, Journal of Web Semantics, Machine Learning and Lecture notes in computer science.
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.