Víctor Dalmau

90 total papers · 1.4k total citations
46 papers, 468 citations indexed

About

Víctor Dalmau is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Víctor Dalmau has authored 46 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 23 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Víctor Dalmau's work include Advanced Graph Theory Research (24 papers), Constraint Satisfaction and Optimization (17 papers) and Complexity and Algorithms in Graphs (12 papers). Víctor Dalmau is often cited by papers focused on Advanced Graph Theory Research (24 papers), Constraint Satisfaction and Optimization (17 papers) and Complexity and Algorithms in Graphs (12 papers). Víctor Dalmau collaborates with scholars based in Spain, United Kingdom and Canada. Víctor Dalmau's co-authors include Andreĭ A. Bulatov, Andrei Krokhin, Balder ten Cate, Peter Jönsson, Phokion G. Kolaitis, Hubie Chen, Benoît Larose, Peter Jeavons, Andreǐ A. Bulatov and Dániel Marx and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Víctor Dalmau

43 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
Víctor Dalmau	345	247	137	49	49	46	468
Andreǐ A. Bulatov	449 1.3×	299 1.2×	96 0.7×	53 1.1×	12 0.2×	23	512
Bernard Monjardet	225 0.7×	74 0.3×	94 0.7×	31 0.6×	139 2.8×	34	435
Danièle Gardy	93 0.3×	182 0.7×	179 1.3×	70 1.4×	23 0.5×	32	456
Nabil Kahalé	226 0.7×	208 0.8×	134 1.0×	13 0.3×	25 0.5×	30	534
Desh Ranjan	187 0.5×	185 0.7×	182 1.3×	58 1.2×	37 0.8×	30	500
Alexander V. Karzanov	267 0.8×	104 0.4×	46 0.3×	16 0.3×	34 0.7×	37	409
Wansoo T. Rhee	84 0.2×	131 0.5×	70 0.5×	39 0.8×	50 1.0×	66	504
Jeannette Janssen	156 0.5×	173 0.7×	124 0.9×	36 0.7×	25 0.5×	53	537
Magnus Wahlström	385 1.1×	135 0.5×	96 0.7×	9 0.2×	16 0.3×	49	509
Anne Berry	293 0.8×	95 0.4×	90 0.7×	58 1.2×	30 0.6×	32	419

Countries citing papers authored by Víctor Dalmau

Since Specialization

Citations

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

Fields of papers citing papers by Víctor Dalmau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Víctor Dalmau

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