Mario Arias

24 total papers · 594 total citations
7 papers, 178 citations indexed

About

Mario Arias is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mario Arias has authored 7 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Mario Arias's work include Semantic Web and Ontologies (3 papers), Web Data Mining and Analysis (2 papers) and Data Management and Algorithms (2 papers). Mario Arias is often cited by papers focused on Semantic Web and Ontologies (3 papers), Web Data Mining and Analysis (2 papers) and Data Management and Algorithms (2 papers). Mario Arias collaborates with scholars based in Spain, Ireland and Chile. Mario Arias's co-authors include Javier D. Fernández, Miguel A. Martínez‐Prieto, Claudio Gutiérrez, Axel Polleres, Carlos E. Cuesta, Jesús Vegas, Pablo de la Fuente and Pablo Ramı́rez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Journal of Web Semantics.

In The Last Decade

Mario Arias

6 papers receiving 168 citations

Author Peers

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

Author						Papers	Cites
Mario Arias	129	75	74	45	24	7	178
Huiyong Xiao	140 1.1×	61 0.8×	81 1.1×	33 0.7×	17 0.7×	11	179
Herman J. ter Horst	144 1.1×	87 1.2×	81 1.1×	26 0.6×	26 1.1×	5	178
Joachim Van Herwegen	109 0.8×	53 0.7×	42 0.6×	31 0.7×	17 0.7×	10	145
Yihong Ding	167 1.3×	59 0.8×	111 1.5×	41 0.9×	50 2.1×	11	238
Mark van Assem	141 1.1×	33 0.4×	55 0.7×	21 0.5×	37 1.5×	4	198
Freddy Priyatna	165 1.3×	61 0.8×	76 1.0×	54 1.2×	11 0.5×	14	190
Matthew Burgess	149 1.2×	49 0.7×	83 1.1×	70 1.6×	18 0.8×	7	236
Jussi Kurki	204 1.6×	34 0.5×	85 1.1×	21 0.5×	23 1.0×	10	260
Dag Hovland	136 1.1×	57 0.8×	59 0.8×	47 1.0×	14 0.6×	15	178
Gerald Haesendonck	121 0.9×	52 0.7×	53 0.7×	43 1.0×	17 0.7×	7	155

Countries citing papers authored by Mario Arias

Since Specialization

Citations

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

Fields of papers citing papers by Mario Arias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Arias

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