Robert Moskovitch
Impact in
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 29
- Time Series Analysis and Forecasting 28
- Data Management and Algorithms 14
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- Machine Learning in Healthcare 11
- Co-authors
- Yuval Elovici (32 shared papers)Yuval Shaḥar (25 shared papers)Clint Feher (11 shared papers)Asaf Shabtai (5 shared papers)Nir Nissim (14 shared papers)Lior Rokach (8 shared papers)Chanan Glezer (4 shared papers)Shlomi Dolev (2 shared papers)
- Journals
- Journal of Biomedical Informatics (9 papers)Knowledge and Information Systems (4 papers)Artificial Intelligence in Medicine (4 papers)Data Mining and Knowledge Discovery (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Robert Moskovitch
81 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Signal Processing 1.8k
- Computer Networks and Communications 1.2k
- Information Systems 1.0k
- Software 162
- Health Information Management 150
Countries citing papers authored by Robert Moskovitch
This map shows the geographic impact of Robert Moskovitch'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 Robert Moskovitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Moskovitch more than expected).
Fields of papers citing papers by Robert Moskovitch
This network shows the impact of papers produced by Robert Moskovitch. 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 Robert Moskovitch. The network helps show where Robert Moskovitch may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Moskovitch, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 259 | |
| 2 | 2012 | 218 | |
| 3 | 2008 | 162 | |
| 4 | 2012 | 112 | |
| 5 | 2014 | 94 | |
| 6 | Medical temporal-knowledge discovery via temporal abstraction. | 2009 | 94 |
| 7 | 2004 | 92 | |
| 8 | 2008 | 91 | |
| 9 | 2014 | 89 | |
| 10 | 2008 | 86 | |
| 11 | 2013 | 80 | |
| 12 | 2014 | 78 | |
| 13 | 2009 | 57 | |
| 14 | 2012 | 56 | |
| 15 | 2007 | 55 | |
| 16 | 2010 | 47 | |
| 17 | 2003 | 47 | |
| 18 | 2015 | 38 | |
| 19 | 2007 | 36 | |
| 20 | 2009 | 36 |
About Robert Moskovitch
Robert Moskovitch is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (29 papers), Time Series Analysis and Forecasting (28 papers), Network Security and Intrusion Detection (27 papers), Data Management and Algorithms (14 papers), Spam and Phishing Detection (13 papers), Data Mining Algorithms and Applications (11 papers), Machine Learning in Healthcare (11 papers) and Biomedical Text Mining and Ontologies (10 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computer Networks and Communications (1.2k citations), Information Systems (1.0k citations), Software (162 citations) and Health Information Management (150 citations). Robert Moskovitch has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Elovici, Yuval Shaḥar, Clint Feher, Asaf Shabtai, Nir Nissim, Lior Rokach, Chanan Glezer, Shlomi Dolev, Nicholas P. Tatonetti and Alon Schclar. Their work appears in journals such as Journal of Biomedical Informatics, Knowledge and Information Systems, Artificial Intelligence in Medicine, Data Mining and Knowledge Discovery and Expert Systems with Applications.
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.