Science Explorer Back to mapMap
Discussion
Researcher · Ben-Gurion University of the Negev · Israel

Robert Moskovitch

Robert Moskovitch publishes mostly in Signal Processing, Artificial Intelligence and Information Systems, on topics such as Time Series Analysis and Forecasting, Network Security and Intrusion Detection and Advanced Malware Detection Techniques.

ORCID 0000-0002-2138-5080 OpenAlex
World rank
#307,396
of 7,710,434 ranked researchers
Rank in Israel
#2,303
of 38,292
Works
107
Citations
3.3k
Citations per work
30.8
h-index
30
i10-index 56Top 4.1% in Signal Processing
Robert Moskovitch

What does Robert Moskovitch research?

Robert Moskovitch's work is mostly in Computer Science (70%), Biochemistry, Genetics and Molecular Biology (5%), Agricultural and Biological Sciences (2%).

Physical Sciences: 75 works · 70.3% of their workComputer Science: 75 works · 70.3% of their workSignal Processing: 31 works · 28.8% of their workArtificial Intelligence: 20 works · 18.4% of their workInformation Systems: 13 works · 12.5% of their workComputer Networks and Communications: 11 works · 10.6% of their workEverything else: 23 works · 21.9% of their workLife Sciences: 8 works · 7.8% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 5.3% of their workMolecular Biology: 6 works · 5.3% of their workAgricultural and Biological Sciences: 3 works · 2.5% of their workPlant Science: 3 works · 2.5% of their workTHEIR WORKRobert Moskovitch107works
Life Sciences8%Physical Sciences70%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science7570.3%
  2. Everything else2321.9%
    1. Biochemistry, Genetics and Molecular Biology65.3%
    2. Agricultural and Biological Sciences32.5%
  1. 1Signal Processing29% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Information Systems12% of their works
  4. 4Computer Networks and Communications11% of their works
  5. 5Molecular Biology5% of their works
  6. 6Plant Science2% of their works

Research topics

Which keywords describe Robert Moskovitch's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Data Mining, Behavioral Analysis, Clustering, Time Series and Android Malware.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Deep Learning1144 topics
  2. Machine Learning894 topics
  3. IoT Security602 topics
  4. Data Mining462 topics
  5. Behavioral Analysis432 topics
  6. Clustering381 topic
  7. Time Series381 topic
  8. Android Malware301 topic
  9. Detection301 topic
  10. Intrusion Detection301 topic
  11. Network Security301 topic
  12. Association Rules161 topic
  13. Electronic Health Records161 topic
  14. Frequent Patterns161 topic
  15. GPS Trajectories161 topic
  16. Healthcare161 topic
  17. Trajectory Data Mining161 topic
  18. Biomedical Ontologies131 topic
  19. Phishing131 topic
  20. Spam Detection131 topic
  21. Text Mining131 topic

Where does Robert Moskovitch work?

Robert Moskovitch's main affiliation in the publication record is Ben-Gurion University of the Negev, Israel.

How many publications and citations does Robert Moskovitch have?

OpenAlex counts 107 works and 3,295 citations for Robert Moskovitch, an h-index of 30, ranking #307,396 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Robert Moskovitch. Posts are plain text and can be reported.