Marcin Detyniecki

1.9k total citations
43 papers, 443 citations indexed

About

Marcin Detyniecki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Marcin Detyniecki has authored 43 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Management Science and Operations Research. Recurrent topics in Marcin Detyniecki's work include Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (7 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Marcin Detyniecki is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (7 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Marcin Detyniecki collaborates with scholars based in France, Poland and United States. Marcin Detyniecki's co-authors include Ronald R. Yager, Bernadette Bouchon‐Meunier, Andreas Nürnberger, Jonathan Aigrain, Sylvain Lamprier, Séverine Dubuisson, Michel Spodenkiewicz, Mohamed Chétouani, David Cohen and Luís Henrique M. K. Costa and has published in prestigious journals such as Information Sciences, Accident Analysis & Prevention and Machine Learning.

In The Last Decade

Marcin Detyniecki

41 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Detyniecki France 11 145 114 71 66 54 43 443
Takehisa Onisawa Japan 12 123 0.8× 295 2.6× 144 2.0× 100 1.5× 175 3.2× 101 967
Peida Xu China 9 164 1.1× 221 1.9× 64 0.9× 50 0.8× 9 0.2× 12 491
Hong Mo China 12 198 1.4× 56 0.5× 109 1.5× 37 0.6× 29 0.5× 44 413
Zeyi Liu China 14 180 1.2× 131 1.1× 175 2.5× 40 0.6× 18 0.3× 37 472
Ting-Cheng Chang China 10 93 0.6× 103 0.9× 38 0.5× 6 0.1× 50 0.9× 58 512
Gerald M. Knapp United States 13 69 0.5× 90 0.8× 132 1.9× 23 0.3× 35 0.6× 32 652
Jose M. Lanza-Gutiérrez Spain 12 108 0.7× 12 0.1× 43 0.6× 53 0.8× 46 0.9× 41 551
David J. Russomanno United States 12 222 1.5× 20 0.2× 38 0.5× 6 0.1× 76 1.4× 60 500
Muddasar Naeem Italy 12 221 1.5× 19 0.2× 37 0.5× 22 0.3× 40 0.7× 27 598
Ning Xiong Sweden 17 513 3.5× 81 0.7× 141 2.0× 6 0.1× 84 1.6× 80 913

Countries citing papers authored by Marcin Detyniecki

Since Specialization
Citations

This map shows the geographic impact of Marcin Detyniecki'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 Marcin Detyniecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Detyniecki more than expected).

Fields of papers citing papers by Marcin Detyniecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcin Detyniecki. 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 Marcin Detyniecki. The network helps show where Marcin Detyniecki may publish in the future.

Co-authorship network of co-authors of Marcin Detyniecki

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Detyniecki. A scholar is included among the top collaborators of Marcin Detyniecki 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 Marcin Detyniecki. Marcin Detyniecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gülçehre, Çaǧlar, et al.. (2025). Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 890–897.
2.
Laugel, Thibault, et al.. (2024). Understanding prediction discrepancies in classification. Machine Learning. 113(10). 7997–8026. 2 indexed citations
3.
Detyniecki, Marcin, et al.. (2023). Tamper-proof access control for IoT clouds using enclaves. Ad Hoc Networks. 147. 103191–103191. 6 indexed citations
4.
Lesot, Marie‐Jeanne, et al.. (2023). Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study. SPIRE - Sciences Po Institutional REpository. 188–203. 8 indexed citations
5.
Detyniecki, Marcin, et al.. (2023). Road traffic safety assessment in self-driving vehicles based on time-to-collision with motion orientation. Accident Analysis & Prevention. 191. 107172–107172. 10 indexed citations
6.
Laugel, Thibault, et al.. (2023). A general framework for personalising post hoc explanations through user knowledge integration. International Journal of Approximate Reasoning. 160. 108944–108944. 4 indexed citations
7.
8.
Detyniecki, Marcin, et al.. (2022). A Tool Bundle for AI Fairness in Practice. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–3. 4 indexed citations
9.
Aigrain, Jonathan, et al.. (2021). Building Trust in Artificial Conversational Agents.. 1 indexed citations
10.
Detyniecki, Marcin, et al.. (2021). Análise do Aprendizado Federado em Redes Móveis. 71–84. 1 indexed citations
11.
Lamprier, Sylvain, et al.. (2020). Achieving Fairness with Decision Trees: An Adversarial Approach. Data Science and Engineering. 5(2). 99–110. 12 indexed citations
12.
Lefort, Sébastien, Marie‐Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, & Marcin Detyniecki. (2016). Interpretation of approximate numerical expressions: Computational model and empirical study. International Journal of Approximate Reasoning. 82. 193–209. 4 indexed citations
13.
Lesot, Marie‐Jeanne, et al.. (2016). Transformation-based constraint-guided Generalised Modus Ponens. 1316–1322. 1 indexed citations
14.
Detyniecki, Marcin, et al.. (2013). Gradual Generalized Modus Ponens. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 3 indexed citations
15.
Detyniecki, Marcin, Christophe Marsala, Ashwati Krishnan, & Mel Siegel. (2012). Weather-based solar energy prediction. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 17 indexed citations
16.
Detyniecki, Marcin, Ana Garcı́a-Serrano, Andreas Nürnberger, & Sebastian Stober. (2011). Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation. 1 indexed citations
17.
Keller, James M., et al.. (2011). Object set matching with an evolutionary algorithm. 43–50. 2 indexed citations
18.
Gao, Zan, Marcin Detyniecki, Mingyu Chen, et al.. (2010). The Application of Spatio-temporal Feature and Multi-Sensor in Home Medical Devices. International Journal of Digital Content Technology and its Applications. 4(7). 69–78. 7 indexed citations
19.
Detyniecki, Marcin, et al.. (2010). Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music. Lecture notes in computer science. 2 indexed citations
20.
Yager, Ronald R., Marcin Detyniecki, & Bernadette Bouchon‐Meunier. (2000). Specifying t-norms based on the value of T (1/2, 1/2). RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 7(1). 77–87. 7 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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