Alex Aussem
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Text and Document Classification Technologies
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Signal Processing top 10%
Papers in
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- Neural Networks and Applications 6
- Machine Learning and Data Classification 5
- Text and Document Classification Technologies 5
- Bayesian Modeling and Causal Inference 4
- Advanced Clustering Algorithms Research 2
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- Face and Expression Recognition 3
- Co-authors
- Haytham Elghazel (7 shared papers)Fionn Murtagh (4 shared papers)Maxime Gasse (2 shared papers)M. Sarazin (3 shared papers)Fionn Murtagh (2 shared papers)David A. Hill (1 shared paper)David R.C. Hill (1 shared paper)André Tchernof (1 shared paper)
- Journals
- Neurocomputing (5 papers)International Journal of Intelligent Systems (2 papers)Expert Systems with Applications (2 papers)Pattern Analysis and Applications (1 paper)Publications of the Astronomical Society of the Pacific (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Alex Aussem
25 papers receiving 477 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 297
- Signal Processing 56
- Computer Vision and Pattern Recognition 104
- Management Science and Operations Research 63
- Computational Mathematics 2
Countries citing papers authored by Alex Aussem
This map shows the geographic impact of Alex Aussem'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 Aussem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Aussem more than expected).
Fields of papers citing papers by Alex Aussem
This network shows the impact of papers produced by Alex Aussem. 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 Aussem. The network helps show where Alex Aussem may publish in the future.
Co-authors
The 15 scholars most cited alongside Alex Aussem, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 72 | |
| 2 | 2014 | 67 | |
| 3 | 2013 | 60 | |
| 4 | 2016 | 42 | |
| 5 | 1999 | 39 | |
| 6 | 2012 | 37 | |
| 7 | 1995 | 28 | |
| 8 | 2009 | 20 | |
| 9 | 2010 | 19 | |
| 10 | 2009 | 18 | |
| 11 | 2001 | 18 | |
| 12 | 2011 | 13 | |
| 13 | 2000 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2010 | 11 | |
| 16 | 2013 | 7 | |
| 17 | 1999 | 7 | |
| 18 | 2002 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 2003 | 3 |
About Alex Aussem
Alex Aussem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Statistical and Nonlinear Physics, having authored 25 papers that have together received 506 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Machine Learning and Data Classification (5 papers), Text and Document Classification Technologies (5 papers), Bayesian Modeling and Causal Inference (4 papers), Gene expression and cancer classification (3 papers), Face and Expression Recognition (3 papers), Advanced Clustering Algorithms Research (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Artificial Intelligence (297 citations), Signal Processing (56 citations), Computer Vision and Pattern Recognition (104 citations), Management Science and Operations Research (63 citations) and Computational Mathematics (2 citations). Alex Aussem has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Haytham Elghazel, Fionn Murtagh, Maxime Gasse, M. Sarazin, Fionn Murtagh, David A. Hill, David R.C. Hill, André Tchernof, Sophie Rome and Antoine Mahul. Their work appears in journals such as Neurocomputing, International Journal of Intelligent Systems, Expert Systems with Applications, Pattern Analysis and Applications and Publications of the Astronomical Society of the Pacific.
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.