Nicolas Baskiotis
Impact in
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- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Papers in
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- Machine Learning and Algorithms 4
- Anomaly Detection Techniques and Applications 2
- Software 4
- Software Testing and Debugging Techniques 4
- Software Reliability and Analysis Research 2
- Co-authors
- Michèle Sébag (5 shared papers)Patrick Gallinari (2 shared papers)Vincent Guigue (3 shared papers)Sylvain Gelly (1 shared paper)Olivier Teytaud (1 shared paper)Marie-Claude Gaudel (3 shared papers)Ludovic Denoyer (1 shared paper)Ioannis Prapas (1 shared paper)
- Journals
- Information and Software Technology (1 paper)Data Mining and Knowledge Discovery (1 paper)Neurocomputing (1 paper)Pattern Analysis and Applications (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (6 papers)
In The Last Decade
Nicolas Baskiotis
12 papers receiving 93 citations
Peers
Comparison fields: 5 of 28
- Software 19
- Computational Mathematics 2
- Transportation 18
- Building and Construction 26
- Management Science and Operations Research 16
Countries citing papers authored by Nicolas Baskiotis
This map shows the geographic impact of Nicolas Baskiotis'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 Nicolas Baskiotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Baskiotis more than expected).
Fields of papers citing papers by Nicolas Baskiotis
This network shows the impact of papers produced by Nicolas Baskiotis. 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 Nicolas Baskiotis. The network helps show where Nicolas Baskiotis may publish in the future.
Co-authors
The 16 scholars most cited alongside Nicolas Baskiotis, 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 | Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments | 2007 | 23 |
| 2 | 2018 | 18 | |
| 3 | A machine learning approach for statistical software testing | 2007 | 17 |
| 4 | 2016 | 14 | |
| 5 | 2004 | 10 | |
| 6 | 2016 | 6 | |
| 7 | 2009 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2014 | 1 | |
| 11 | R-implementation of the TreeRank algorithm | 2009 | 1 |
| 12 | 2014 | 1 | |
| 13 | 2023 | 0 | |
| 14 | EXIST: Exploitation/Exploration Inference for Statistical Software Testing | 2006 | 0 |
About Nicolas Baskiotis
Nicolas Baskiotis is a scholar working on Artificial Intelligence, Software, Building and Construction, Information Systems and Signal Processing, having authored 14 papers that have together received 96 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Software Testing and Debugging Techniques (4 papers), Traffic Prediction and Management Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers), Human Mobility and Location-Based Analysis (2 papers), Software Reliability and Analysis Research (2 papers), Smart Parking Systems Research (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Software (19 citations), Computational Mathematics (2 citations), Transportation (18 citations), Building and Construction (26 citations) and Management Science and Operations Research (16 citations). Nicolas Baskiotis has collaborated with scholars based in France, Burundi and Greece. Frequent co-authors include Michèle Sébag, Patrick Gallinari, Vincent Guigue, Sylvain Gelly, Olivier Teytaud, Marie-Claude Gaudel, Ludovic Denoyer, Ioannis Prapas, Γεώργιος Παλιούρας and Alexander Artikis. Their work appears in journals such as Information and Software Technology, Data Mining and Knowledge Discovery, Neurocomputing, Pattern Analysis and Applications and HAL (Le Centre pour la Communication Scientifique Directe).
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.