Nicolas Baskiotis

1.0k total citations
14 papers, 92 citations indexed

About

Nicolas Baskiotis is a scholar working on Artificial Intelligence, Software and Building and Construction. According to data from OpenAlex, Nicolas Baskiotis has authored 14 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Software and 3 papers in Building and Construction. Recurrent topics in Nicolas Baskiotis's work include Machine Learning and Algorithms (4 papers), Software Testing and Debugging Techniques (4 papers) and Traffic Prediction and Management Techniques (3 papers). Nicolas Baskiotis is often cited by papers focused on Machine Learning and Algorithms (4 papers), Software Testing and Debugging Techniques (4 papers) and Traffic Prediction and Management Techniques (3 papers). Nicolas Baskiotis collaborates with scholars based in France, Burundi and Greece. Nicolas Baskiotis's co-authors include Michèle Sébag, Sylvain Gelly, Vincent Guigue, Marie-Claude Gaudel, Patrick Gallinari, Olivier Teytaud, Ludovic Denoyer, Alexander Artikis, Γεώργιος Παλιούρας and Nicolas Vayatis and has published in prestigious journals such as Neurocomputing, Information and Software Technology and Data Mining and Knowledge Discovery.

In The Last Decade

Nicolas Baskiotis

12 papers receiving 88 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicolas Baskiotis France	6	34	24	20	19	17	14	92
Didier Chételat Canada	3	55 1.6×	10 0.4×	6 0.3×	3 0.2×	8 0.5×	7	125
Alejandro Arbeláez Ireland	7	41 1.2×	5 0.2×	13 0.7×	6 0.3×	3 0.2×	23	112
François Laburthe France	5	37 1.1×	8 0.3×	4 0.2×	11 0.6×	3 0.2×	11	125
Alexandre Philippot France	8	15 0.4×	5 0.2×	5 0.3×	21 1.1×	3 0.2×	53	208
Wolfgang Wilke Germany	8	105 3.1×	9 0.4×	41 2.0×	27 1.4×		13	155
Alamgir Hossain United Kingdom	7	38 1.1×	9 0.4×	56 2.8×	4 0.2×	8 0.5×	14	114
Domagoj Matijević Croatia	5	16 0.5×	14 0.6×	8 0.4×	2 0.1×	13 0.8×	19	130
Alireza Rezaei Mahdiraji Germany	6	56 1.6×	6 0.3×	22 1.1×	2 0.1×	2 0.1×	15	113
Miquel Bofill Spain	9	96 2.8×	8 0.3×	6 0.3×	11 0.6×		33	165
Sonja Meyer Switzerland	5	14 0.4×	6 0.3×	55 2.8×	3 0.2×	9 0.5×	5	113

Countries citing papers authored by Nicolas Baskiotis

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nicolas Baskiotis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Baskiotis. A scholar is included among the top collaborators of Nicolas Baskiotis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Baskiotis. Nicolas Baskiotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Baskiotis, Nicolas, et al.. (2023). Interpretable time series neural representation for classification purposes. SPIRE - Sciences Po Institutional REpository. 1–10.

Baskiotis, Nicolas, et al.. (2023). A hyperbolic approach for learning communities on graphs. Data Mining and Knowledge Discovery. 1 indexed citations

Baskiotis, Nicolas, et al.. (2018). Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing. 298. 109–121. 15 indexed citations

Παλιούρας, Γεώργιος, et al.. (2018). Towards Human Activity Reasoning with Computational Logic and Deep Learning. 1–4. 2 indexed citations

Baskiotis, Nicolas, et al.. (2016). Smart card in public transportation: Designing a analysis system at the human scale. 36. 1336–1341. 6 indexed citations

Baskiotis, Nicolas, et al.. (2016). Joint prediction of road-traffic and parking occupancy over a city with representation learning. HAL (Le Centre pour la Communication Scientifique Directe). 725–730. 14 indexed citations

Lamprier, Sylvain, et al.. (2014). The CARE platform for the analysis of behavior model inference techniques. Information and Software Technology. 60. 32–50. 1 indexed citations

Baskiotis, Nicolas, et al.. (2014). An empirical comparison of $$V$$ V -fold penalisation and cross-validation for model selection in distribution-free regression. Pattern Analysis and Applications. 19(1). 41–53. 1 indexed citations

Baskiotis, Nicolas, et al.. (2009). R-implementation of the TreeRank algorithm. 1 indexed citations

10.

Baskiotis, Nicolas, Michèle Sébag, & Marie-Claude Gaudel. (2009). SoftwareTesting with Active Learning in a Graph. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 2 indexed citations

11.

Baskiotis, Nicolas, et al.. (2007). A machine learning approach for statistical software testing. HAL (Le Centre pour la Communication Scientifique Directe). 2274–2279. 17 indexed citations

12.

Baskiotis, Nicolas, et al.. (2007). Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments. HAL (Le Centre pour la Communication Scientifique Directe). 237–250. 23 indexed citations

13.

Baskiotis, Nicolas, et al.. (2006). EXIST: Exploitation/Exploration Inference for Statistical Software Testing. HAL (Le Centre pour la Communication Scientifique Directe).

14.

Baskiotis, Nicolas & Michèle Sébag. (2004). C4.5 competence map. HAL (Le Centre pour la Communication Scientifique Directe). 10–10. 9 indexed citations

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.

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