Ariel Bar
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
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- Recommender Systems and Techniques 5
-
- Context-Aware Activity Recognition Systems 3
- Co-authors
- Bracha Shapira (11 shared papers)Lior Rokach (10 shared papers)Moshe Unger (6 shared papers)Oren Yehezkel (1 shared paper)Ehud Gudes (1 shared paper)Mordechai Rosner (1 shared paper)Michael Belkin (1 shared paper)Yuval Elovici (1 shared paper)
- Journals
- Knowledge-Based Systems (3 papers)American Journal of Disaster Medicine (1 paper)Conference on Recommender Systems (1 paper)
- Partner nations
- IsraelUnited Kingdom
In The Last Decade
Ariel Bar
12 papers receiving 256 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 97
- Transportation 40
- Computer Networks and Communications 127
- Information Systems 124
- Artificial Intelligence 131
Countries citing papers authored by Ariel Bar
This map shows the geographic impact of Ariel Bar'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 Ariel Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Bar more than expected).
Fields of papers citing papers by Ariel Bar
This network shows the impact of papers produced by Ariel Bar. 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 Ariel Bar. The network helps show where Ariel Bar may publish in the future.
Co-authors
The 13 scholars most cited alongside Ariel Bar, 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 | 2015 | 90 | |
| 2 | 2016 | 81 | |
| 3 | 2016 | 25 | |
| 4 | 2018 | 24 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 13 | |
| 7 | 2013 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2016 | 3 | |
| 10 | 2005 | 3 | |
| 11 | 2012 | 2 | |
| 12 | Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. | 2016 | 1 |
| 13 | 2023 | 0 |
About Ariel Bar
Ariel Bar is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Transportation, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 268 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Human Mobility and Location-Based Analysis (5 papers), Context-Aware Activity Recognition Systems (3 papers), Network Security and Intrusion Detection (3 papers), Complex Network Analysis Techniques (2 papers), IPv6, Mobility, Handover, Networks, Security (1 paper), Health and Conflict Studies (1 paper) and Green IT and Sustainability (1 paper). The work is most often cited by research in Signal Processing (97 citations), Transportation (40 citations), Computer Networks and Communications (127 citations), Information Systems (124 citations) and Artificial Intelligence (131 citations). Ariel Bar has collaborated with scholars based in Israel and United Kingdom. Frequent co-authors include Bracha Shapira, Lior Rokach, Moshe Unger, Oren Yehezkel, Ehud Gudes, Mordechai Rosner, Michael Belkin, Yuval Elovici, Uri Polat and Nehemia Blumberg. Their work appears in journals such as Knowledge-Based Systems, American Journal of Disaster Medicine and Conference on Recommender 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.