Dídac Busquets

66 total papers · 664 total citations
38 papers, 353 citations indexed

About

Dídac Busquets is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Dídac Busquets has authored 38 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 12 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Dídac Busquets's work include Auction Theory and Applications (11 papers), Robotic Path Planning Algorithms (6 papers) and Multi-Agent Systems and Negotiation (6 papers). Dídac Busquets is often cited by papers focused on Auction Theory and Applications (11 papers), Robotic Path Planning Algorithms (6 papers) and Multi-Agent Systems and Negotiation (6 papers). Dídac Busquets collaborates with scholars based in United Kingdom, Spain and United States. Dídac Busquets's co-authors include Jeremy Pitt, Beatriz López, Ramón López de Mántaras, Carles Sierra, Javier Murillo, Régis Riveret, Reid Simmons, Laura M. Hiatt, Selma Šabanović and Marek P. Michalowski and has published in prestigious journals such as Environmental Modelling & Software, Engineering Applications of Artificial Intelligence and Transportation.

In The Last Decade

Dídac Busquets

38 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dídac Busquets	89	80	46	46	44	38	353
Hiromitsu Hattori	209 2.3×	113 1.4×	21 0.5×	38 0.8×	44 1.0×	41	387
Andrew Ponomarev	91 1.0×	23 0.3×	50 1.1×	59 1.3×	33 0.8×	67	363
Lei Du	63 0.7×	108 1.4×	30 0.7×	27 0.6×	66 1.5×	27	372
Haoyuan Hu	83 0.9×	35 0.4×	46 1.0×	18 0.4×	20 0.5×	27	362
Amro Najjar	178 2.0×	25 0.3×	21 0.5×	33 0.7×	51 1.2×	46	372
Alberto Fernández-Isabel	144 1.6×	20 0.3×	29 0.6×	32 0.7×	49 1.1×	36	313
Yusuke Fukazawa	70 0.8×	24 0.3×	11 0.2×	85 1.8×	43 1.0×	48	386
Albina Orlando	58 0.7×	37 0.5×	88 1.9×	43 0.9×	86 2.0×	29	397
Claudio Cubillos	67 0.8×	39 0.5×	75 1.6×	18 0.4×	26 0.6×	66	310
C.C. Hayes	80 0.9×	43 0.5×	29 0.6×	21 0.5×	54 1.2×	34	365

Countries citing papers authored by Dídac Busquets

Since Specialization

Citations

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

Fields of papers citing papers by Dídac Busquets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dídac Busquets

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

All Works

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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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