Fernando Martínez‐Plumed

2.7k total citations · 1 hit paper
35 papers, 807 citations indexed

About

Fernando Martínez‐Plumed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications. According to data from OpenAlex, Fernando Martínez‐Plumed has authored 35 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Science Applications. Recurrent topics in Fernando Martínez‐Plumed's work include Explainable Artificial Intelligence (XAI) (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Reinforcement Learning in Robotics (6 papers). Fernando Martínez‐Plumed is often cited by papers focused on Explainable Artificial Intelligence (XAI) (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Reinforcement Learning in Robotics (6 papers). Fernando Martínez‐Plumed collaborates with scholars based in Spain, United Kingdom and Australia. Fernando Martínez‐Plumed's co-authors include José Hernández‐Orallo, Cèsar Ferri, Peter Flach, Meelis Kull, Nicolas Lachiche, Lidia Contreras-Ochando, Emília Gómez, Adolfo Martínez-Usó, Ricardo B. C. Prudêncio and Sofia Samoili and has published in prestigious journals such as Nature, Science and Scientific Reports.

In The Last Decade

Fernando Martínez‐Plumed

31 papers receiving 773 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.

Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

2023 114 citations Fernando Martínez‐Plumed, José Hernández‐Orallo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Martínez‐Plumed Spain	13	331	104	89	85	70	35	807
Patrick Zschech Germany	11	282 0.9×	81 0.8×	96 1.1×	131 1.5×	82 1.2×	35	795
Niklas Kühl Germany	16	341 1.0×	120 1.2×	101 1.1×	150 1.8×	65 0.9×	71	1.0k
Jörn Grahl Germany	12	318 1.0×	77 0.7×	131 1.5×	125 1.5×	56 0.8×	26	709
Manjeet Singh United States	11	272 0.8×	92 0.9×	253 2.8×	51 0.6×	79 1.1×	34	804
Moninder Singh United States	17	560 1.7×	162 1.6×	60 0.7×	36 0.4×	61 0.9×	53	958
Stefan Thalmann Austria	12	159 0.5×	107 1.0×	50 0.6×	159 1.9×	44 0.6×	57	618
Fabio Mercorio Italy	17	461 1.4×	221 2.1×	34 0.4×	65 0.8×	25 0.4×	65	926
Wolfgang Maaß Germany	15	219 0.7×	91 0.9×	36 0.4×	81 1.0×	28 0.4×	92	850
Timo Speith Germany	9	584 1.8×	81 0.8×	226 2.5×	47 0.6×	176 2.5×	17	866
Kaijie Zhu China	3	552 1.7×	164 1.6×	28 0.3×	27 0.3×	89 1.3×	4	1.1k

Countries citing papers authored by Fernando Martínez‐Plumed

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Martínez‐Plumed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Martínez‐Plumed. 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 Fernando Martínez‐Plumed. The network helps show where Fernando Martínez‐Plumed may publish in the future.

Co-authorship network of co-authors of Fernando Martínez‐Plumed

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Martínez‐Plumed. A scholar is included among the top collaborators of Fernando Martínez‐Plumed 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 Fernando Martínez‐Plumed. Fernando Martínez‐Plumed 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

Martínez‐Plumed, Fernando, et al.. (2025). Comparative analysis of public and expert perceptions of electrified vehicles in the European Union. Scientific Reports. 15(1). 21695–21695. 2 indexed citations

Martínez‐Plumed, Fernando, et al.. (2025). Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following. Journal of Intelligent Transportation Systems. 1–22.

Ferri, Cèsar, et al.. (2024). Cracking black-box models: Revealing hidden machine learning techniques behind their predictions. Intelligent Data Analysis. 29(1). 28–44. 2 indexed citations

Martínez‐Plumed, Fernando, et al.. (2024). Larger and more instructable language models become less reliable. Nature. 634(8032). 61–68. 50 indexed citations

Burnell, Ryan, John Burden, Tomer Ullman, et al.. (2023). Rethink reporting of evaluation results in AI. Science. 380(6641). 136–138. 40 indexed citations

Martínez‐Plumed, Fernando, Karina Vold, John Burden, et al.. (2023). Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. Journal of Artificial Intelligence Research. 77. 377–394. 9 indexed citations

Martínez‐Plumed, Fernando & José Hernández‐Orallo. (2023). Training Data Scientists Through Project-Based Learning. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 18(3). 295–304. 2 indexed citations

Martínez‐Plumed, Fernando, et al.. (2022). When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7719–7727. 3 indexed citations

Hernández‐Orallo, José, Bao Sheng Loe, Lucy G. Cheke, Fernando Martínez‐Plumed, & Seán Ó hÉigeartaigh. (2021). General intelligence disentangled via a generality metric for natural and artificial intelligence. Scientific Reports. 11(1). 22822–22822. 4 indexed citations

10.

Martínez‐Plumed, Fernando & José Hernández‐Orallo. (2021). Project-Based Learning for Scaffolding Data Scientists’ Skills. 94. 758–763. 1 indexed citations

11.

Martínez‐Plumed, Fernando, et al.. (2021). Missing the missing values: The ugly duckling of fairness in machine learning. International Journal of Intelligent Systems. 36(7). 3217–3258. 37 indexed citations

12.

Samoili, Sofia, et al.. (2020). AI WATCH. Defining Artificial Intelligence. Joint Research Centre (European Commission). 66 indexed citations

13.

Hernández‐Orallo, José, Fernando Martínez‐Plumed, Shahar Avin, & Seán Ó hÉigeartaigh. (2019). Surveying Safety-relevant AI Characteristics. RiuNet (Politechnical University of Valencia). 1–9. 10 indexed citations

14.

Martínez‐Plumed, Fernando, Ricardo B. C. Prudêncio, Adolfo Martínez-Usó, & José Hernández‐Orallo. (2019). Item response theory in AI: Analysing machine learning classifiers at the instance level. Artificial Intelligence. 271. 18–42. 46 indexed citations

15.

Martínez‐Plumed, Fernando & José Hernández‐Orallo. (2018). Dual Indicators to Analyze AI Benchmarks: Difficulty, Discrimination, Ability, and Generality. IEEE Transactions on Games. 12(2). 121–131. 12 indexed citations

16.

Hernández‐Orallo, José, Fernando Martínez‐Plumed, Ute Schmid, Michael Siebers, & David L. Dowe. (2017). Computer models solving intelligence test problems: progress and implications. Monash University Research Portal (Monash University). 5005–5009.

17.

Martínez‐Plumed, Fernando, Cèsar Ferri, José Hernández‐Orallo, & Marïa José Ramírez-Quintana. (2017). A computational analysis of general intelligence tests for evaluating cognitive development. Cognitive Systems Research. 43. 100–118. 11 indexed citations

18.

Martínez‐Plumed, Fernando, Cèsar Ferri, & Lidia Contreras-Ochando. (2016). Cycling network projects: a decision-making aid approach. RiuNet (Politechnical University of Valencia). 1 indexed citations

19.

Hernández‐Orallo, José, Fernando Martínez‐Plumed, Ute Schmid, Michael Siebers, & David L. Dowe. (2015). Computer models solving intelligence test problems: Progress and implications. Artificial Intelligence. 230. 74–107. 37 indexed citations

20.

Martínez‐Plumed, Fernando, et al.. (2014). A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems. RiuNet (Politechnical University of Valencia). 8. 111–116. 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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