Daniel Paternain

1.6k total citations
58 papers, 1.0k citations indexed

About

Daniel Paternain is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Paternain has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 24 papers in Artificial Intelligence and 24 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Paternain's work include Multi-Criteria Decision Making (30 papers), Rough Sets and Fuzzy Logic (21 papers) and Fuzzy Systems and Optimization (16 papers). Daniel Paternain is often cited by papers focused on Multi-Criteria Decision Making (30 papers), Rough Sets and Fuzzy Logic (21 papers) and Fuzzy Systems and Optimization (16 papers). Daniel Paternain collaborates with scholars based in Spain, Slovakia and Czechia. Daniel Paternain's co-authors include Humberto Bustince, Radko Mesiar, Gleb Beliakov, Mikel Galar, Edurne Barrenechea, Benjamín Bedregal, Aránzazu Jurío, Javier Fernández, José Sanz and Francisco Herrera and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Daniel Paternain

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Paternain Spain 17 523 344 273 237 215 58 1.0k
Aránzazu Jurío Spain 16 503 1.0× 340 1.0× 339 1.2× 196 0.8× 116 0.5× 38 875
Hidetomo Ichihashi Japan 16 303 0.6× 465 1.4× 115 0.4× 215 0.9× 153 0.7× 124 899
Masao Mukaidono Japan 16 208 0.4× 682 2.0× 315 1.2× 108 0.5× 258 1.2× 120 1.1k
Libo Zhang China 12 299 0.6× 345 1.0× 484 1.8× 37 0.2× 104 0.5× 48 803
H. Ichihashi Japan 15 136 0.3× 547 1.6× 111 0.4× 115 0.5× 281 1.3× 58 886
Rohan A. Baxter Australia 11 329 0.6× 713 2.1× 46 0.2× 59 0.2× 171 0.8× 19 1.0k
Lvqing Bi China 14 428 0.8× 223 0.6× 175 0.6× 124 0.5× 56 0.3× 36 623
Jingyu Yang China 16 118 0.2× 266 0.8× 341 1.2× 14 0.1× 665 3.1× 29 1.2k
Sergeĭ Ovchinnikov United States 13 412 0.8× 324 0.9× 369 1.4× 140 0.6× 44 0.2× 46 830
Christopher J. Merz United States 7 79 0.2× 1.6k 4.6× 310 1.1× 97 0.4× 496 2.3× 10 1.9k

Countries citing papers authored by Daniel Paternain

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paternain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Paternain

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Paternain. A scholar is included among the top collaborators of Daniel Paternain 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 Daniel Paternain. Daniel Paternain 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.
Jurío, Aránzazu, et al.. (2025). A Comparative Study of CO2 Forecasting Strategies in School Classrooms: A Step Toward Improving Indoor Air Quality. Sensors. 25(7). 2173–2173. 1 indexed citations
2.
Paternain, Daniel, et al.. (2024). Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5209–5226. 14 indexed citations
3.
Sesma‐Sara, Mikel, et al.. (2024). Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion. Academica-e (Universidad Pública de Navarra). 1–8. 3 indexed citations
4.
Jin, LeSheng, Zhen‐Song Chen, Ronald R. Yager, et al.. (2021). GnIOWA operators and some weights allocation methods with their properties. International Journal of Intelligent Systems. 36(5). 2367–2386. 3 indexed citations
5.
Paternain, Daniel, et al.. (2021). A Study of OWA Operators Learned in Convolutional Neural Networks. Applied Sciences. 11(16). 7195–7195. 7 indexed citations
6.
Pérez‐Fernández, Raúl, Susana Montes, Irene Dı́az, et al.. (2021). Axiomatization and construction of orness measures for aggregation functions. International Journal of Intelligent Systems. 36(5). 2208–2228. 2 indexed citations
7.
Jin, LeSheng, et al.. (2020). Some preference involved aggregation models for basic uncertain information using uncertainty transformation. Journal of Intelligent & Fuzzy Systems. 39(1). 325–332. 4 indexed citations
8.
Bustince, Humberto, Radko Mesiar, Javier Fernández, et al.. (2020). d-Choquet integrals: Choquet integrals based on dissimilarities. Fuzzy Sets and Systems. 414. 1–27. 43 indexed citations
9.
Jin, LeSheng, et al.. (2019). Nested formulation paradigms for induced ordered weighted averaging aggregation for decision‐making and evaluation. International Journal of Intelligent Systems. 34(11). 3046–3057. 6 indexed citations
10.
Paternain, Daniel, et al.. (2018). The Interval-Valued Choquet Integral Based on Admissible Permutations. IEEE Transactions on Fuzzy Systems. 27(8). 1638–1647. 21 indexed citations
11.
12.
Sanz, José, et al.. (2017). A new survival status prediction system for severe trauma patients based on a multiple classifier system. Computer Methods and Programs in Biomedicine. 142. 1–8. 16 indexed citations
13.
Paternain, Daniel, et al.. (2017). Internal Fusion Functions. IEEE Transactions on Fuzzy Systems. 26(2). 487–503. 10 indexed citations
14.
Paternain, Daniel, et al.. (2015). Quantitative orness for lattice OWA operators. Information Fusion. 30. 27–35. 18 indexed citations
15.
Galar, Mikel, Aránzazu Jurío, Carlos López-Molina, et al.. (2013). Aggregation functions to combine RGB color channels in stereo matching. Optics Express. 21(1). 1247–1247. 15 indexed citations
16.
Beliakov, Gleb, Humberto Bustince, & Daniel Paternain. (2011). Image Reduction Using Means on Discrete Product Lattices. IEEE Transactions on Image Processing. 21(3). 1070–1083. 35 indexed citations
17.
Jurío, Aránzazu, Daniel Paternain, Carlos López-Molina, et al.. (2011). A construction method of interval-valued Fuzzy Sets for image processing. 16–22. 16 indexed citations
18.
Paternain, Daniel, et al.. (2009). Image reduction with interval-valued fuzzy sets and OWA operators. European Society for Fuzzy Logic and Technology Conference. 754–759. 1 indexed citations
19.
Jurío, Aránzazu, Miguel Pagola, Daniel Paternain, Carlos López-Molina, & Pedro Melo‐Pinto. (2009). Interval-valued restricted equivalence functions applied on Clustering Techniques. European Society for Fuzzy Logic and Technology Conference. 831–836. 14 indexed citations
20.
Jurío, Aránzazu, Miguel Pagola, Daniel Paternain, et al.. (2009). Ignorance-Based Fuzzy Clustering Algorithm. 2. 1353–1358.

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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