Antonio Fariña

89 total papers · 845 total citations
42 papers, 338 citations indexed

About

Antonio Fariña is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antonio Fariña has authored 42 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antonio Fariña's work include Algorithms and Data Compression (27 papers), Data Management and Algorithms (9 papers) and Advanced Database Systems and Queries (7 papers). Antonio Fariña is often cited by papers focused on Algorithms and Data Compression (27 papers), Data Management and Algorithms (9 papers) and Advanced Database Systems and Queries (7 papers). Antonio Fariña collaborates with scholars based in Spain, Chile and Canada. Antonio Fariña's co-authors include Nieves R. Brisaboa, Gonzalo Navarro, José R. Paramá, Francisco Claude, Miguel A. Martínez‐Prieto, Óscar Pedreira, Susana Ladra, Nora Susana Reyes, M. Andrea Rodríguez and Miguel R. Luaces and has published in prestigious journals such as Information Sciences, Information Processing & Management and ACM Transactions on Information Systems.

In The Last Decade

Antonio Fariña

37 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Antonio Fariña	248	108	104	74	66	42	338
Douglas C. Schmidt	188 0.8×	134 1.2×	72 0.7×	48 0.6×	101 1.5×	21	384
Matthias Petri	219 0.9×	107 1.0×	82 0.8×	57 0.8×	58 0.9×	35	296
Shiyu Yang	167 0.7×	119 1.1×	140 1.3×	148 2.0×	36 0.5×	37	359
Zhitang Chen	233 0.9×	194 1.8×	60 0.6×	45 0.6×	34 0.5×	31	391
Zhiqiang Ma	118 0.5×	125 1.2×	66 0.6×	23 0.3×	125 1.9×	65	359
Francisco Claude	264 1.1×	101 0.9×	95 0.9×	55 0.7×	71 1.1×	21	342
Liang Dai	252 1.0×	75 0.7×	124 1.2×	40 0.5×	66 1.0×	28	344
Peter Fenwick	276 1.1×	98 0.9×	113 1.1×	50 0.7×	13 0.2×	31	351
E. J. Yannakoudakis	257 1.0×	57 0.5×	71 0.7×	44 0.6×	116 1.8×	31	373
Owen Kaser	222 0.9×	229 2.1×	60 0.6×	128 1.7×	94 1.4×	31	377

Countries citing papers authored by Antonio Fariña

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Fariña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Fariña

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