Ildefons Magrans de Abril

615 total citations
8 papers, 338 citations indexed

About

Ildefons Magrans de Abril is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Ildefons Magrans de Abril has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Ildefons Magrans de Abril's work include Neural dynamics and brain function (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Reinforcement Learning in Robotics (2 papers). Ildefons Magrans de Abril is often cited by papers focused on Neural dynamics and brain function (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Reinforcement Learning in Robotics (2 papers). Ildefons Magrans de Abril collaborates with scholars based in Japan, Belgium and Switzerland. Ildefons Magrans de Abril's co-authors include Mihail Mihaylov, Kristof Van Moffaert, Sergio Jurado, Ann Nowé, Narcís Avellana, Masashi Sugiyama, Jaak Simm, Kenji Doya, Junichiro Yoshimoto and Ryota Kanai and has published in prestigious journals such as Neural Networks, IEICE Transactions on Information and Systems and Neuroscience of Consciousness.

In The Last Decade

Ildefons Magrans de Abril

7 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ildefons Magrans de Abril Japan	5	151	134	82	65	42	8	338
Saeeda Usman Pakistan	9	91 0.6×	70 0.5×	17 0.2×	20 0.3×	154 3.7×	18	286
Xianghong Lin China	9	212 1.4×	45 0.3×	17 0.2×	148 2.3×	19 0.5×	43	443
Chenchen Liu United States	9	60 0.4×	23 0.2×	14 0.2×	14 0.2×	36 0.9×	27	401
Ming Hu United States	9	74 0.5×	12 0.1×	12 0.1×	93 1.4×	84 2.0×	37	300
Yongting Zhang China	8	63 0.4×	46 0.3×	9 0.1×	33 0.5×	48 1.1×	26	312
Akber Abid Gardezi Pakistan	8	52 0.3×	50 0.4×	12 0.1×	30 0.5×	43 1.0×	36	271
Chengwei Lei United States	10	56 0.4×	9 0.1×	31 0.4×	50 0.8×	16 0.4×	30	383
Sumit Soman India	11	64 0.4×	21 0.2×	15 0.2×	120 1.8×	28 0.7×	38	349
Ruiji Sun United States	10	45 0.3×	17 0.1×	27 0.3×	32 0.5×	18 0.4×	28	306

Countries citing papers authored by Ildefons Magrans de Abril

Since Specialization

Citations

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

Fields of papers citing papers by Ildefons Magrans de Abril

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ildefons Magrans de Abril. 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 Ildefons Magrans de Abril. The network helps show where Ildefons Magrans de Abril may publish in the future.

Co-authorship network of co-authors of Ildefons Magrans de Abril

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kanai, Ryota, et al.. (2019). Information generation as a functional basis of consciousness. Neuroscience of Consciousness. 2019(1). niz016–niz016. 36 indexed citations

2.

Abril, Ildefons Magrans de, Junichiro Yoshimoto, & Kenji Doya. (2018). Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. Neural Networks. 102. 120–137. 46 indexed citations

3.

Abril, Ildefons Magrans de & Ryota Kanai. (2018). Curiosity-Driven Reinforcement Learning with Homeostatic Regulation. 1–6. 12 indexed citations

4.

Abril, Ildefons Magrans de & Ryota Kanai. (2017). Intrinsically-motivated reinforcement learning for control with continuous actions. 1. 212–214.

5.

Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2014). NRGcoin: Virtual currency for trading of renewable energy in smart grids. 1–6. 181 indexed citations

6.

Simm, Jaak, Ildefons Magrans de Abril, & Masashi Sugiyama. (2014). Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression. IEICE Transactions on Information and Systems. E97.D(6). 1677–1681. 58 indexed citations

7.

Abril, Ildefons Magrans de & Masashi Sugiyama. (2013). Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering. IEICE Transactions on Information and Systems. E96.D(3). 742–745. 4 indexed citations

8.

Abril, Ildefons Magrans de, et al.. (2007). Enhancing the User Interface of the CMS Level 1 Trigger Online Software with AJAX. CERN Bulletin. 1–6. 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.

Explore authors with similar magnitude of impact