Isel Grau

789 total citations
38 papers, 413 citations indexed

About

Isel Grau is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Isel Grau has authored 38 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Isel Grau's work include Cognitive Science and Mapping (16 papers), Cognitive Computing and Networks (8 papers) and Neural Networks and Applications (7 papers). Isel Grau is often cited by papers focused on Cognitive Science and Mapping (16 papers), Cognitive Computing and Networks (8 papers) and Neural Networks and Applications (7 papers). Isel Grau collaborates with scholars based in Belgium, Cuba and Netherlands. Isel Grau's co-authors include Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Maikel León, Ricardo Grau, Yamisleydi Salgueiro, Elpiniki I. Papageorgiou, Rafael Falcón, Ann Nowé and Witold Pedrycz and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Isel Grau

38 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isel Grau Belgium	11	309	98	52	32	29	38	413
Hossein Amirkhani Iran	10	169 0.5×	27 0.3×	18 0.3×	19 0.6×	53 1.8×	28	307
Bhuwan Dhingra United States	10	689 2.2×	95 1.0×	8 0.2×	75 2.3×	69 2.4×	32	874
Farzan Soleymani Canada	9	63 0.2×	109 1.1×	64 1.2×	108 3.4×	18 0.6×	17	368
Pablo A. D. Castro Brazil	11	153 0.5×	18 0.2×	26 0.5×	69 2.2×	53 1.8×	26	281
Ashwin Paranjape United States	4	195 0.6×	17 0.2×	10 0.2×	20 0.6×	54 1.9×	7	325
Suncong Zheng China	7	738 2.4×	105 1.1×	27 0.5×	113 3.5×	123 4.2×	16	828
Yu Yan China	10	339 1.1×	30 0.3×	8 0.2×	16 0.5×	39 1.3×	27	446
Giovanni Ciatto Italy	9	180 0.6×	14 0.1×	22 0.4×	6 0.2×	60 2.1×	35	289

Countries citing papers authored by Isel Grau

Since Specialization

Citations

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

Fields of papers citing papers by Isel Grau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isel Grau

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

All Works

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20 of 20 papers shown

Nápoles, Gonzalo, Isel Grau, Agnieszka Jastrzębska, & Yamisleydi Salgueiro. (2025). Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps. Neurocomputing. 626. 129611–129611. 1 indexed citations

Nápoles, Gonzalo, et al.. (2025). Learning of Fuzzy Cognitive Map models without training data. Neurocomputing. 623. 129409–129409. 1 indexed citations

Nápoles, Gonzalo, et al.. (2024). Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps. Applied Soft Computing. 169. 112604–112604. 2 indexed citations

Grau, Isel, et al.. (2024). Forward Composition Propagation for Explainable Neural Reasoning. IEEE Computational Intelligence Magazine. 19(1). 26–35. 2 indexed citations

Nápoles, Gonzalo, Isel Grau, & Yamisleydi Salgueiro. (2024). A revised cognitive mapping methodology for modeling and simulation. Knowledge-Based Systems. 299. 112089–112089. 2 indexed citations

Theuns, Peter, Pieter Libin, Ann Nowé, et al.. (2023). Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome. EP Europace. 25(9). 3 indexed citations

Lázár, Tamás, et al.. (2022). Challenges in describing the conformation and dynamics of proteins with ambiguous behavior. Frontiers in Molecular Biosciences. 9. 959956–959956. 10 indexed citations

Nápoles, Gonzalo, et al.. (2022). Modeling implicit bias with fuzzy cognitive maps. Neurocomputing. 481. 33–45. 22 indexed citations

Nápoles, Gonzalo, Yamisleydi Salgueiro, Isel Grau, & Maikel León. (2022). Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. IEEE Transactions on Cybernetics. 53(10). 6083–6094. 20 indexed citations

10.

Grau, Isel, Ann Nowé, & Wim Vranken. (2021). Interpreting a black box predictor to gain insights into early folding mechanisms. Computational and Structural Biotechnology Journal. 19. 4919–4930. 5 indexed citations

11.

Grau, Isel, et al.. (2020). An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. VUBIR (Vrije Universiteit Brussel). 1–8. 5 indexed citations

12.

Nápoles, Gonzalo, et al.. (2020). Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. IEEE Transactions on Cybernetics. 52(5). 2994–3005. 19 indexed citations

13.

Nápoles, Gonzalo, et al.. (2017). Fuzzy-Rough Cognitive Networks. Neural Networks. 97. 19–27. 31 indexed citations

14.

Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2015). SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. Adaptive Agents and Multi-Agents Systems. 1917–1918. 13 indexed citations

15.

Nápoles, Gonzalo, et al.. (2015). A computational tool for simulation and learning of Fuzzy Cognitive Maps. Document Server@UHasselt (UHasselt). 1–8. 11 indexed citations

16.

Nápoles, Gonzalo, Isel Grau, Elpiniki I. Papageorgiou, Rafael Bello, & Koen Vanhoof. (2015). Rough Cognitive Networks. Knowledge-Based Systems. 91. 46–61. 36 indexed citations

17.

Nápoles, Gonzalo, et al.. (2014). Towards Swarm Diversity: Random Sampling in Variable Neighborhoods Procedure Using a Lévy Distribution. Computación y Sistemas. 18(1). 7 indexed citations

18.

Grau, Isel, Gonzalo Nápoles, Isis Bonet, & María M. García. (2013). Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. Computación y Sistemas. 17(1). 15–24. 1 indexed citations

19.

Grau, Isel, Gonzalo Nápoles, Isis Bonet, & María M. García. (2013). Backpropagation through Time Algorithm for Training Recurrent Neural Networks using Variable Length Instances. 17(1). 15–24. 7 indexed citations

20.

Grau, Isel, et al.. (2012). Aplicación de sistemas neuroborrosos a problemas de resistencia antiviral del VIH. 6(2). 1–11. 1 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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