Alex Averbuch
Impact in
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- Graph Theory and Algorithms
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- Advanced Database Systems and Queries
- Caching and Content Delivery
Papers in
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- Graph Theory and Algorithms 5
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- Advanced Database Systems and Queries 4
- Co-authors
- Peter Boncz (2 shared papers)Orri Erling (2 shared papers)Andrey Gubichev (1 shared paper)Josep-L. Larriba-Pey (1 shared paper)Minh-Duc Pham (1 shared paper)Hassan Chafi (1 shared paper)Ladislav Hluchý (1 shared paper)André Panisson (1 shared paper)
- Journals
- The Russian Review (1 paper)Canadian Slavonic Papers (1 paper)Data Archiving and Networked Services (DANS) (1 paper)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine) (1 paper)
- Partner nations
- CanadaUnited StatesHungary
In The Last Decade
Alex Averbuch
6 papers receiving 215 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 167
- Computer Networks and Communications 143
- Signal Processing 63
- Information Systems 74
- Artificial Intelligence 85
Countries citing papers authored by Alex Averbuch
This map shows the geographic impact of Alex Averbuch'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 Alex Averbuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Averbuch more than expected).
Fields of papers citing papers by Alex Averbuch
This network shows the impact of papers produced by Alex Averbuch. 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 Alex Averbuch. The network helps show where Alex Averbuch may publish in the future.
Co-authors
The 14 scholars most cited alongside Alex Averbuch, 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 | 138 | |
| 2 | 2012 | 39 | |
| 3 | 2013 | 36 | |
| 4 | 2018 | 14 | |
| 5 | 2017 | 10 | |
| 6 | 2023 | 5 | |
| 7 | 2019 | 0 | |
| 8 | 2022 | 0 |
About Alex Averbuch
Alex Averbuch is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Political Science and International Relations and Sociology and Political Science, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (3 papers), Soviet and Russian History (2 papers), Language and Culture (1 paper), Advanced Graph Neural Networks (1 paper), Linguistics, Language Diversity, and Identity (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Computer Networks and Communications (143 citations), Signal Processing (63 citations), Information Systems (74 citations) and Artificial Intelligence (85 citations). Alex Averbuch has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Peter Boncz, Orri Erling, Andrey Gubichev, Josep-L. Larriba-Pey, Minh-Duc Pham, Hassan Chafi, Ladislav Hluchý, André Panisson, Marco Quaggiotto and Ciro Cattuto. Their work appears in journals such as The Russian Review, Canadian Slavonic Papers, Data Archiving and Networked Services (DANS), Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine).
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.