Jaime Sevilla

501 total citations · 1 hit paper
5 papers, 168 citations indexed

About

Jaime Sevilla is a scholar working on Artificial Intelligence, Strategy and Management and Astronomy and Astrophysics. According to data from OpenAlex, Jaime Sevilla has authored 5 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Strategy and Management and 1 paper in Astronomy and Astrophysics. Recurrent topics in Jaime Sevilla's work include Occupational Health and Safety Research (1 paper), Gamma-ray bursts and supernovae (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Jaime Sevilla is often cited by papers focused on Occupational Health and Safety Research (1 paper), Gamma-ray bursts and supernovae (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Jaime Sevilla collaborates with scholars based in Canada, United Kingdom and Spain. Jaime Sevilla's co-authors include Marius Hobbhahn, Anson Ho, Lennart Heim, Tamay Besiroglu, Q. Feng, T. B. Humensky, Tjark Miener, D. Nieto, Bryan Kim and R. Mukherjee and has published in prestigious journals such as Communications of the ACM, INTELIGENCIA ARTIFICIAL and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Jaime Sevilla

4 papers receiving 157 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.

Compute Trends Across Three Eras of Machine Learning

2022 153 citations Jaime Sevilla, Lennart Heim et al. 2022 International Joint Conference on Neural Networks (IJCNN) profile →

Peers

Jaime Sevilla

AI

EEE

CVPR

CNC

HA

Marius Hobbhahn United Kingdom

Lennart Heim Canada

Daniel Rothchild United States

H. Niewiadomski Switzerland

Scott Alfeld United States

Pere Vilà Spain

Jesmin Jahan Tithi United States

Daniel Hesslow France

Christopher Akiki Germany

Miguel Cárdenas‐Montes Spain

Marius Hobbhahn United Kingdom

Jaime Sevilla

63 ×1.0

AI

48 ×1.0

EEE

18 ×0.9

CVPR

16 ×1.0

CNC

14 ×0.9

HA

Citations per year, relative to Jaime Sevilla Jaime Sevilla (= 1×) peers Marius Hobbhahn

Countries citing papers authored by Jaime Sevilla

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Sevilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Sevilla

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Sevilla. A scholar is included among the top collaborators of Jaime Sevilla 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 Jaime Sevilla. Jaime Sevilla 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.

Sevilla, Jaime, et al.. (2024). Revisión sistemática de taxonomías de riesgos asociados a la Inteligencia Artificial. Revista Digital Palabra (Universidad Pontificia Bolivariana). 14(26). 1 indexed citations

2.

Sevilla, Jaime, et al.. (2024). The EU AI Act: A pioneering effort to regulate frontier AI?. INTELIGENCIA ARTIFICIAL. 27(73). 55–64.

3.

Sevilla, Jaime, Anson Ho, & Tamay Besiroglu. (2023). Please Report Your Compute. Communications of the ACM. 66(5). 30–32. 2 indexed citations

4.

Sevilla, Jaime, et al.. (2022). Compute Trends Across Three Eras of Machine Learning. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 153 indexed citations breakdown →

5.

Nieto, D., Q. Feng, T. B. Humensky, et al.. (2019). CTLearn: Deep Learning for Gamma-ray Astronomy. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 752–752. 12 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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