Ofer Lavi
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Archeology top 10%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
-
- Anomaly Detection Techniques and Applications 2
- Machine Learning and Data Classification 1
-
- Network Security and Intrusion Detection 2
- Software System Performance and Reliability 2
- Co-authors
- Lara A. Estroff (1 shared paper)Steve Weiner (1 shared paper)Alexander Tsatskin (1 shared paper)Rosa M. Albert (1 shared paper)Ronen Avraham (1 shared paper)Simcha Lev‐Yadun (1 shared paper)Ron Shamir (2 shared papers)Gideon Dror (1 shared paper)
- Journals
- IBM Journal of Research and Development (3 papers)Neurology (1 paper)Journal of Computational Biology (1 paper)Molecular Systems Biology (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Ofer Lavi
8 papers receiving 394 citations
Peers
Comparison fields: 5 of 81
- Paleontology 155
- Archeology 14
- Anthropology 125
- Archeology 68
- Atmospheric Science 85
Countries citing papers authored by Ofer Lavi
This map shows the geographic impact of Ofer Lavi'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 Ofer Lavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ofer Lavi more than expected).
Fields of papers citing papers by Ofer Lavi
This network shows the impact of papers produced by Ofer Lavi. 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 Ofer Lavi. The network helps show where Ofer Lavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ofer Lavi, 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 | 1999 | 206 | |
| 2 | 2017 | 109 | |
| 3 | 2017 | 30 | |
| 4 | 2012 | 25 | |
| 5 | 2010 | 20 | |
| 6 | 2017 | 16 | |
| 7 | 2011 | 7 | |
| 8 | Neural network gradient-based learning of black-box function interfaces | 2019 | 1 |
| 9 | 2004 | 1 | |
| 10 | 2013 | 1 |
About Ofer Lavi
Ofer Lavi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Software, Paleontology and Reproductive Medicine, having authored 10 papers that have together received 416 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Network Security and Intrusion Detection (2 papers), Software System Performance and Reliability (2 papers), Machine Learning and Data Classification (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Gene expression and cancer classification (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Paleontology (155 citations), Archeology (14 citations), Anthropology (125 citations), Archeology (68 citations) and Atmospheric Science (85 citations). Ofer Lavi has collaborated with scholars based in Israel and United States. Frequent co-authors include Lara A. Estroff, Steve Weiner, Alexander Tsatskin, Rosa M. Albert, Ronen Avraham, Simcha Lev‐Yadun, Ron Shamir, Gideon Dror, Gal Dalal and Yonatan Belinkov. Their work appears in journals such as IBM Journal of Research and Development, Neurology, Journal of Computational Biology, Molecular Systems Biology and International Journal of Gynecological Cancer.
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.