Robert Moskovitch
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
-
- Network Security and Intrusion Detection
Papers in
-
- Time Series Analysis and Forecasting 25
- Advanced Malware Detection Techniques 24
- Data Management and Algorithms 14
-
- Machine Learning in Healthcare 9
- Co-authors
- Yuval Elovici (26 shared papers)Yuval Shaḥar (24 shared papers)Asaf Shabtai (4 shared papers)Lior Rokach (8 shared papers)Nir Nissim (11 shared papers)Clint Feher (8 shared papers)Chanan Glezer (3 shared papers)Shlomi Dolev (1 shared paper)
- Journals
- Journal of Biomedical Informatics (9 papers)Knowledge and Information Systems (4 papers)Artificial Intelligence in Medicine (4 papers)Information Sciences (2 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Robert Moskovitch
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Signal Processing 1.3k
- Computer Networks and Communications 849
- Information Systems 787
- Health Information Management 141
- Software 101
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 220 | |
| 2 | 2012 | 186 | |
| 3 | 2012 | 95 | |
| 4 | Medical temporal-knowledge discovery via temporal abstraction. | 2009 | 87 |
| 5 | 2014 | 83 | |
| 6 | 2014 | 77 | |
| 7 | 2008 | 77 | |
| 8 | 2004 | 71 | |
| 9 | 2014 | 68 | |
| 10 | 2013 | 68 | |
| 11 | 2008 | 61 | |
| 12 | 2012 | 52 | |
| 13 | 2009 | 45 | |
| 14 | 2010 | 44 | |
| 15 | 2007 | 33 | |
| 16 | 2015 | 33 | |
| 17 | 2016 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2016 | 29 | |
| 20 | 2010 | 23 |
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 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (25 papers), Advanced Malware Detection Techniques (24 papers), Network Security and Intrusion Detection (22 papers), Data Management and Algorithms (14 papers), Data Mining Algorithms and Applications (11 papers), Spam and Phishing Detection (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Machine Learning in Healthcare (9 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Networks and Communications (849 citations), Information Systems (787 citations), Health Information Management (141 citations) and Software (101 citations). Robert Moskovitch has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Elovici, Yuval Shaḥar, Asaf Shabtai, Lior Rokach, Nir Nissim, Clint Feher, 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, Information Sciences and Future Generation Computer Systems.
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.