Yaniv Bernstein
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Information Systems top 10%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
-
- Algorithms and Data Compression 3
- Topic Modeling 2
- Advanced Text Analysis Techniques 1
-
- Web Data Mining and Analysis 3
- Co-authors
- Justin Zobel (6 shared papers)Peter H. Janssen (1 shared paper)Gavin N. Rees (1 shared paper)Catherine A. Osborne (1 shared paper)Donald Metzler (2 shared papers)Alistair Moffat (2 shared papers)W. Bruce Croft (2 shared papers)Hugh Williams (1 shared paper)
- Journals
- Journal of Computational Biology (1 paper)Information Systems (1 paper)Applied and Environmental Microbiology (1 paper)RMIT Research Repository (RMIT University Library) (2 papers)Minerva Access (University of Melbourne) (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Yaniv Bernstein
9 papers receiving 297 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 130
- Information Systems 84
- Ecology 79
- Environmental Chemistry 18
- Management Science and Operations Research 19
Countries citing papers authored by Yaniv Bernstein
This map shows the geographic impact of Yaniv Bernstein'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 Yaniv Bernstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaniv Bernstein more than expected).
Fields of papers citing papers by Yaniv Bernstein
This network shows the impact of papers produced by Yaniv Bernstein. 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 Yaniv Bernstein. The network helps show where Yaniv Bernstein may publish in the future.
Co-authors
The 17 scholars most cited alongside Yaniv Bernstein, 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 | 126 | |
| 2 | 2005 | 92 | |
| 3 | 2005 | 33 | |
| 4 | 2007 | 19 | |
| 5 | 2004 | 13 | |
| 6 | 2005 | 13 | |
| 7 | RMIT University at TREC 2005: Terabyte and Robust Track. | 2005 | 11 |
| 8 | 2005 | 5 | |
| 9 | Distributed text retrieval from overlapping collections | 2007 | 4 |
About Yaniv Bernstein
Yaniv Bernstein is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Computer Networks and Communications, having authored 9 papers that have together received 316 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Algorithms and Data Compression (3 papers), Topic Modeling (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Academic integrity and plagiarism (1 paper), Advanced Text Analysis Techniques (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Artificial Intelligence (130 citations), Information Systems (84 citations), Ecology (79 citations), Environmental Chemistry (18 citations) and Management Science and Operations Research (19 citations). Yaniv Bernstein has collaborated with scholars based in Australia and United States. Frequent co-authors include Justin Zobel, Peter H. Janssen, Gavin N. Rees, Catherine A. Osborne, Donald Metzler, Alistair Moffat, W. Bruce Croft, Hugh Williams, Michael J. Cameron and Andy Song. Their work appears in journals such as Journal of Computational Biology, Information Systems, Applied and Environmental Microbiology, RMIT Research Repository (RMIT University Library) and Minerva Access (University of Melbourne).
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.