Alexandre Aussem
Impact in
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- Multiple Myeloma Research and Treatments
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- Text and Document Classification Technologies
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
Papers in
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- Neural Networks and Applications 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Neural Networks and Reservoir Computing 2
- Text and Document Classification Technologies 2
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- Data Mining Algorithms and Applications 3
- Co-authors
- Haytham Elghazel (4 shared papers)Marilys Corbex (1 shared paper)Michel Ducher (1 shared paper)Pascal Caillet (1 shared paper)Anne‐Marie Schott (1 shared paper)M. Sarazin (1 shared paper)Fionn Murtagh (1 shared paper)Florence Magrangeas (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Clinical Cancer Research (1 paper)Data & Knowledge Engineering (1 paper)Neurocomputing (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Alexandre Aussem
17 papers receiving 108 citations
Peers
Comparison fields: 5 of 68
- Hematology 19
- Artificial Intelligence 45
- Signal Processing 12
- Health Information Management 4
- Oncology 17
Countries citing papers authored by Alexandre Aussem
This map shows the geographic impact of Alexandre 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 Alexandre Aussem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Aussem more than expected).
Fields of papers citing papers by Alexandre Aussem
This network shows the impact of papers produced by Alexandre 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 Alexandre Aussem. The network helps show where Alexandre Aussem may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 30 | |
| 2 | 2015 | 23 | |
| 3 | 2011 | 15 | |
| 4 | 2015 | 12 | |
| 5 | 1994 | 9 | |
| 6 | 2000 | 5 | |
| 7 | 2000 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2002 | 3 | |
| 10 | 2001 | 3 | |
| 11 | A novel scalable and correct Markov boundary learning algorithms under faithfulness condition | 2008 | 2 |
| 12 | 2024 | 2 | |
| 13 | Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system | 2006 | 1 |
| 14 | 2000 | 1 | |
| 15 | 1999 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 0 |
About Alexandre Aussem
Alexandre Aussem is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Information Systems and Control and Systems Engineering, having authored 18 papers that have together received 118 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (3 papers), Neural Networks and Applications (3 papers), Network Traffic and Congestion Control (3 papers), Data Mining Algorithms and Applications (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Neural Networks and Reservoir Computing (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Hematology (19 citations), Artificial Intelligence (45 citations), Signal Processing (12 citations), Health Information Management (4 citations) and Oncology (17 citations). Alexandre Aussem has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Haytham Elghazel, Marilys Corbex, Michel Ducher, Pascal Caillet, Anne‐Marie Schott, M. Sarazin, Fionn Murtagh, Florence Magrangeas, Catherine Guérin‐Charbonnel and Nikhil C. Munshi. Their work appears in journals such as Artificial Intelligence in Medicine, Clinical Cancer Research, Data & Knowledge Engineering, Neurocomputing and PLoS ONE.
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.