Alex Thomo
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Algorithms and Data Compression
Papers in
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- Data Management and Algorithms 22
-
- Algorithms and Data Compression 18
- Advanced Graph Neural Networks 17
- Co-authors
- Venkatesh SrinivasanGösta GrahneSean ChesterUlrike StegeGautam SrivastavaBruce M. KapronMaryam ShoaranChris Upton
- Journals
- Proceedings of the VLDB Endowment (5 papers)Theoretical Computer Science (4 papers)Social Network Analysis and Mining (2 papers)The Computer Journal (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Alex Thomo
83 papers receiving 710 citations
Peers
Comparison fields: 5 of 76
- Signal Processing 153
- Artificial Intelligence 424
- Statistical and Nonlinear Physics 159
- Computer Networks and Communications 275
- Computer Vision and Pattern Recognition 178
Countries citing papers authored by Alex Thomo
This map shows the geographic impact of Alex Thomo'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 Thomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Thomo more than expected).
Fields of papers citing papers by Alex Thomo
This network shows the impact of papers produced by Alex Thomo. 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 Thomo. The network helps show where Alex Thomo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Thomo, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 1 | |
| 6 | 2016 | 5 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 2 | |
| 10 | 2012 | 1 | |
| 11 | k-Anonymization of Social Networks by Vertex Addition. | 2011 | 31 |
| 12 | 2011 | 1 | |
| 13 | 2011 | 5 | |
| 14 | Trust-Based Infinitesimals for Enhanced Collaborative Filtering | 2009 | 14 |
| 15 | 2008 | 8 | |
| 16 | 2008 | 8 | |
| 17 | 2007 | 2 | |
| 18 | 2007 | 1 | |
| 19 | 2003 | 11 | |
| 20 | Approximate Reasoning in Semistructured Data. | 2001 | 7 |
About Alex Thomo
Alex Thomo is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 88 papers that have together received 729 indexed citations. Recurring topics across this work include Data Management and Algorithms (22 papers), Graph Theory and Algorithms (21 papers), Algorithms and Data Compression (18 papers), Advanced Database Systems and Queries (18 papers), Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (13 papers), Recommender Systems and Techniques (8 papers) and Complexity and Algorithms in Graphs (7 papers). The work is most often cited by research in Signal Processing (153 citations), Artificial Intelligence (424 citations), Statistical and Nonlinear Physics (159 citations), Computer Networks and Communications (275 citations) and Computer Vision and Pattern Recognition (178 citations). Alex Thomo has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Venkatesh Srinivasan, Gösta Grahne, Sean Chester, Ulrike Stege, Gautam Srivastava, Bruce M. Kapron, Maryam Shoaran, Chris Upton, Sue Whitesides and Kui Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, Theoretical Computer Science, Social Network Analysis and Mining, The Computer Journal and IEEE Transactions on Knowledge and Data Engineering.
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.