Alberto Barbado

8.5k total citations · 1 hit paper
5 papers, 5.0k citations indexed

About

Alberto Barbado is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Computer Networks and Communications. According to data from OpenAlex, Alberto Barbado has authored 5 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Renewable Energy, Sustainability and the Environment and 1 paper in Computer Networks and Communications. Recurrent topics in Alberto Barbado's work include Energy, Environment, and Transportation Policies (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Indoor and Outdoor Localization Technologies (1 paper). Alberto Barbado is often cited by papers focused on Energy, Environment, and Transportation Policies (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Indoor and Outdoor Localization Technologies (1 paper). Alberto Barbado collaborates with scholars based in Spain and France. Alberto Barbado's co-authors include Richard Benjamins, Sergio Gil-López, Salvador García, Natalia Díaz-Rodríguez, Adrien Bennetot, Siham Tabik, Raja Chatila, Javier Del Ser, Daniel Molina and Francisco Herrera and has published in prestigious journals such as Information Fusion, Engineering Applications of Artificial Intelligence and arXiv (Cornell University).

In The Last Decade

Alberto Barbado

4 papers receiving 4.8k citations

Hit Papers

align trajectories

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): Concepts, taxonomies, opportunities and challenges toward responsible AI

2019 5.0k citations Natalia Díaz-Rodríguez, Javier Del Ser et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Barbado Spain	3	3.0k	656	632	377	325	5	5.0k
Adrien Bennetot France	5	3.0k 1.0×	664 1.0×	637 1.0×	387 1.0×	327 1.0×	5	5.0k
Richard Benjamins Spain	10	3.1k 1.1×	664 1.0×	658 1.0×	389 1.0×	326 1.0×	28	5.3k
Sergio Gil-López Spain	21	3.3k 1.1×	654 1.0×	635 1.0×	465 1.2×	331 1.0×	52	6.6k
Riccardo Guidotti Italy	19	2.8k 1.0×	549 0.8×	386 0.6×	325 0.9×	184 0.6×	71	4.6k
Amina Adadi Morocco	10	2.1k 0.7×	448 0.7×	416 0.7×	314 0.8×	187 0.6×	19	3.5k
Mohammed Berrada Morocco	12	2.0k 0.7×	422 0.6×	409 0.6×	301 0.8×	169 0.5×	48	3.6k
Natalia Díaz-Rodríguez Spain	19	4.2k 1.4×	972 1.5×	834 1.3×	782 2.1×	447 1.4×	49	7.3k
Siham Tabik Spain	27	3.8k 1.3×	719 1.1×	644 1.0×	1.3k 3.4×	708 2.2×	63	7.6k
Anna Monreale Italy	22	2.6k 0.9×	337 0.5×	349 0.6×	345 0.9×	122 0.4×	82	4.3k
Simone Stumpf United Kingdom	27	1.8k 0.6×	409 0.6×	547 0.9×	441 1.2×	128 0.4×	89	3.9k

Countries citing papers authored by Alberto Barbado

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Barbado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Barbado

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

All Works

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5 of 5 papers shown

1.

Barbado, Alberto & Óscar Corcho. (2022). Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies. Engineering Applications of Artificial Intelligence. 115. 105222–105222. 12 indexed citations

2.

Barbado, Alberto & Óscar Corcho. (2021). Understanding Factors Affecting Fuel Consumption of Vehicles Through Explainable AI: A Use Case With Explainable Boosting Machines. arXiv (Cornell University). 1 indexed citations

3.

Díaz-Rodríguez, Natalia, Javier Del Ser, Adrien Bennetot, et al.. (2019). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion. 58. 82–115. 4972 indexed citations breakdown →

4.

Benjamins, Richard, et al.. (2019). Responsible AI by Design.. 3 indexed citations

5.

Barbado, Alberto, et al.. (2014). Environmental wireless sensor network deployment in food industry: From theory to practice. 12. 1–6.

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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