José M. Alonso

7.0k total citations · 3 hit papers
117 papers, 3.1k citations indexed

About

José M. Alonso is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, José M. Alonso has authored 117 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 14 papers in Signal Processing and 13 papers in Management Science and Operations Research. Recurrent topics in José M. Alonso's work include Fuzzy Logic and Control Systems (33 papers), Explainable Artificial Intelligence (XAI) (23 papers) and Neural Networks and Applications (15 papers). José M. Alonso is often cited by papers focused on Fuzzy Logic and Control Systems (33 papers), Explainable Artificial Intelligence (XAI) (23 papers) and Neural Networks and Applications (15 papers). José M. Alonso collaborates with scholars based in Spain, Italy and South Korea. José M. Alonso's co-authors include Luis Magdalena, Shaker El–Sappagh, Tamer Abuhmed, Roberto Confalonieri, Natalia Díaz-Rodríguez, Sajid Ali, Riccardo Guidotti, Francisco Herrera, Javier Del Ser and Khan Muhammad and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

José M. Alonso

107 papers receiving 3.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2023 687 citations Sajid Ali, Tamer Abuhmed et al. Information Fusion profile →
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease

2021 210 citations Shaker El–Sappagh, José M. Alonso et al. profile →
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence

2021 183 citations Ilia Stepin, José M. Alonso et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José M. Alonso Spain	28	1.6k	447	284	248	224	117	3.1k
Mufti Mahmud United Kingdom	38	1.8k 1.1×	993 2.2×	332 1.2×	567 2.3×	252 1.1×	222	5.6k
Thien Huu Nguyen United States	29	2.6k 1.6×	283 0.6×	100 0.4×	67 0.3×	380 1.7×	138	4.1k
M. Shamim Kaiser Bangladesh	32	1.1k 0.7×	436 1.0×	105 0.4×	550 2.2×	154 0.7×	191	3.9k
Alexander Binder Germany	16	3.4k 2.2×	258 0.6×	316 1.1×	212 0.9×	295 1.3×	43	5.2k
Abir Hussain United Kingdom	31	874 0.5×	197 0.4×	64 0.2×	269 1.1×	108 0.5×	229	3.0k
Damodar Reddy Edla India	29	959 0.6×	371 0.8×	73 0.3×	509 2.1×	70 0.3×	166	2.8k
Jaesik Choi South Korea	18	996 0.6×	70 0.2×	178 0.6×	120 0.5×	120 0.5×	87	2.1k
Sebastian Lapuschkin Germany	16	1.6k 1.0×	143 0.3×	210 0.7×	153 0.6×	134 0.6×	34	2.8k
Alfred Ultsch Germany	30	788 0.5×	237 0.5×	75 0.3×	53 0.2×	508 2.3×	135	3.0k
Amina Adadi Morocco	10	2.1k 1.3×	139 0.3×	448 1.6×	154 0.6×	85 0.4×	19	3.5k

Countries citing papers authored by José M. Alonso

Since Specialization

Citations

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

Fields of papers citing papers by José M. Alonso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Alonso. 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 José M. Alonso. The network helps show where José M. Alonso may publish in the future.

Co-authorship network of co-authors of José M. Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Alonso. A scholar is included among the top collaborators of José M. Alonso 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 José M. Alonso. José M. Alonso 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

Alonso, José M., et al.. (2024). Introducing User Feedback-Based Counterfactual Explanations (UFCE). International Journal of Computational Intelligence Systems. 17(1).

Gatt, Albert, et al.. (2024). TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing. IEEE Access. 12. 138870–138880.

Stepin, Ilia, et al.. (2024). How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]. IEEE Computational Intelligence Magazine. 19(1). 81–82. 5 indexed citations

Assenmacher, Dennis, et al.. (2024). Sexism Detection on a Data Diet. 94–102.

Alonso, José M., et al.. (2024). Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem. IEEE Intelligent Systems. 39(4). 37–48. 3 indexed citations

Alonso, José M., et al.. (2024). Enriching interactive explanations with fuzzy temporal constraint networks. International Journal of Approximate Reasoning. 171. 109128–109128. 2 indexed citations

Confalonieri, Roberto & José M. Alonso. (2023). An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence. IEEE Intelligent Systems. 39(1). 18–28. 5 indexed citations

Alonso, José M., et al.. (2023). An art painting style explainable classifier grounded on logical and commonsense reasoning. Soft Computing. 2 indexed citations

El–Sappagh, Shaker, José M. Alonso, Tamer Abuhmed, Farman Ali, & Alberto Bugarín. (2023). Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges. Artificial Intelligence Review. 56(10). 11149–11296. 23 indexed citations

10.

Ali, Sajid, Tamer Abuhmed, Shaker El–Sappagh, et al.. (2023). Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Information Fusion. 99. 101805–101805. 687 indexed citations breakdown →

11.

Soguero-Ruíz, Cristina, et al.. (2022). Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. Future Generation Computer Systems. 133. 68–83. 28 indexed citations

12.

Graziani, Pierluigi, et al.. (2022). FCE: Feedback Based Counterfactual Explanations for Explainable AI. IEEE Access. 10. 72363–72372. 13 indexed citations

13.

Stepin, Ilia, José M. Alonso, Alejandro Catalá, & Martín Pereira-Fariña. (2021). A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence. IEEE Access. 9. 11974–12001. 183 indexed citations breakdown →

14.

Alonso, José M., et al.. (2020). Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. CINECA IRIS Institutial research information system (University of Pisa). 1–8. 14 indexed citations

15.

Abuhmed, Tamer, Shaker El–Sappagh, & José M. Alonso. (2020). Robust hybrid deep learning models for Alzheimer’s progression detection. Knowledge-Based Systems. 213. 106688–106688. 85 indexed citations

16.

Alonso, José M., Alejandro Ramos-Soto, Ciro Castiello, & Corrado Mencar. (2018). Hybrid Data-Expert Explainable Beer Style Classifier. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–7. 4 indexed citations

17.

Hernández, Noelia, Manuel Ocaña, José M. Alonso, & Euntai Kim. (2017). Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort. Sensors. 17(1). 147–147. 63 indexed citations

18.

Alonso, José M., et al.. (2012). The Celestial Reference Frame at X/Ka-Band Status & Prospects for Improving the South. NASA Technical Reports Server (NASA). 1.

19.

Alonso, José M. & Luis Magdalena. (2009). An Experimental Study on the Interpretability of Fuzzy Systems. European Society for Fuzzy Logic and Technology Conference. 125–130. 10 indexed citations

20.

Alonso, José M., et al.. (2005). Modeling the subjetivity in the target costing process: An experimental approach based on the fuzzy logic concepts. Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva). 5(10). 203–222. 5 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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