Nadav Eiron
- Information Systems top 1%
- Web Data Mining and Analysis 10
- Information Retrieval and Search Behavior 2
- Spam and Phishing Detection 2
- Artificial Intelligence top 2%
- Machine Learning and Algorithms 5
- Semantic Web and Ontologies 4
- Algorithms and Data Compression 4
- Signal Processing top 10%
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- Complex Network Analysis Techniques 4
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- Optimization and Search Problems 2
- Co-authors
- Kevin S. McCurleyJohn A. TomlinDaniel GruhlAndrew TomkinsAnant JhingranSridhar RajagopalanStephen DillJason Y. Zien
- Journals
- Journal of Computer and System Sciences (2 papers)Machine Learning (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nadav Eiron
17 papers receiving 760 citations
Peers
Comparison fields: 5 of 70
- Information Systems 587
- Artificial Intelligence 550
- Signal Processing 97
- Management Science and Operations Research 106
- Statistical and Nonlinear Physics 105
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-authorship network
The 22 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 56 | |
| 2 | 2005 | 2 | |
| 3 | 2004 | 141 | |
| 4 | 2003 | 8 | |
| 5 | 2003 | 1 | |
| 6 | 2003 | 18 | |
| 7 | 2003 | 30 | |
| 8 | 2003 | 55 | |
| 9 | 2003 | 1 | |
| 10 | 2003 | 282 | |
| 11 | 2003 | 75 | |
| 12 | 2003 | 111 | |
| 13 | Locality, Hierarchy, and Bidirectionality in the Web∗ | 2003 | 13 |
| 14 | 2002 | 2 | |
| 15 | 2002 | 39 | |
| 16 | 1998 | 8 | |
| 17 | 1995 | 41 |
About Nadav Eiron
Nadav Eiron is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications, having authored 17 papers that have together received 883 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (10 papers), Machine Learning and Algorithms (5 papers), Semantic Web and Ontologies (4 papers), Complex Network Analysis Techniques (4 papers), Algorithms and Data Compression (4 papers), Information Retrieval and Search Behavior (2 papers), Spam and Phishing Detection (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Information Systems (587 citations), Artificial Intelligence (550 citations), Signal Processing (97 citations), Management Science and Operations Research (106 citations) and Statistical and Nonlinear Physics (105 citations). Nadav Eiron has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Kevin S. McCurley, John A. Tomlin, Daniel Gruhl, Andrew Tomkins, Anant Jhingran, Sridhar Rajagopalan, Stephen Dill, Jason Y. Zien, Tapas Kanungo and David Gibson. Their work appears in journals such as Journal of Computer and System Sciences, Machine Learning, Theoretical Computer Science, Journal of Web Semantics and SSRN Electronic Journal.
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.