Alexandre Termier
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
Papers in
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- Algorithms and Data Compression 5
- Anomaly Detection Techniques and Applications 3
- Natural Language Processing Techniques 2
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- Data Mining Algorithms and Applications 9
- Co-authors
- Michèle Sébag (5 shared papers)Véronique Masson (4 shared papers)Élisa Fromont (4 shared papers)Tao Lin (1 shared paper)Marie-Christine Rousset (3 shared papers)Benjamin Négrevergne (2 shared papers)Jean‐François Méhaut (2 shared papers)Philippe Faverdin (1 shared paper)
In The Last Decade
Alexandre Termier
22 papers receiving 398 citations
Peers
Comparison fields: 5 of 84
- Signal Processing 167
- Information Systems 203
- Artificial Intelligence 189
- Computational Theory and Mathematics 92
- Computer Networks and Communications 130
Countries citing papers authored by Alexandre Termier
This map shows the geographic impact of Alexandre Termier'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 Termier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Termier more than expected).
Fields of papers citing papers by Alexandre Termier
This network shows the impact of papers produced by Alexandre Termier. 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 Termier. The network helps show where Alexandre Termier may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Termier, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 101 | |
| 2 | 2021 | 87 | |
| 3 | 2013 | 36 | |
| 4 | 2022 | 36 | |
| 5 | 2020 | 34 | |
| 6 | 2005 | 32 | |
| 7 | 2008 | 29 | |
| 8 | 2014 | 14 | |
| 9 | Combining statistics and semantics for word and document clustering | 2001 | 10 |
| 10 | 2023 | 7 | |
| 11 | DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. | 2007 | 7 |
| 12 | 2014 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2015 | 2 |
About Alexandre Termier
Alexandre Termier is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 22 papers that have together received 430 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (5 papers), Algorithms and Data Compression (5 papers), Data Management and Algorithms (4 papers), Time Series Analysis and Forecasting (3 papers), Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Signal Processing (167 citations), Information Systems (203 citations), Artificial Intelligence (189 citations), Computational Theory and Mathematics (92 citations) and Computer Networks and Communications (130 citations). Alexandre Termier has collaborated with scholars based in France, Japan and Belgium. Frequent co-authors include Michèle Sébag, Véronique Masson, Élisa Fromont, Tao Lin, Marie-Christine Rousset, Benjamin Négrevergne, Jean‐François Méhaut, Philippe Faverdin, Takashi Washio and Kouzou Ohara. Their work appears in journals such as Data Mining and Knowledge Discovery, Information Systems, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering and Mathematics.
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.