Pedro Valderas

77 total papers · 848 total citations
37 papers, 342 citations indexed

About

Pedro Valderas is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pedro Valderas has authored 37 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 15 papers in Computer Networks and Communications and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pedro Valderas's work include Service-Oriented Architecture and Web Services (21 papers), Context-Aware Activity Recognition Systems (14 papers) and Business Process Modeling and Analysis (9 papers). Pedro Valderas is often cited by papers focused on Service-Oriented Architecture and Web Services (21 papers), Context-Aware Activity Recognition Systems (14 papers) and Business Process Modeling and Analysis (9 papers). Pedro Valderas collaborates with scholars based in Spain, Belgium and Austria. Pedro Valderas's co-authors include Vicente Pelechano, Estefanía Serral, Victoria Torres, Óscar Pastor, Lorna Uden, Joan Fons, Paul Grefen, Francisco Valverde, Barbara Re and Fabrizio Fornari and has published in prestigious journals such as IEEE Access, Information and Software Technology and Journal of Systems and Software.

In The Last Decade

Pedro Valderas

34 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Pedro Valderas	193	101	87	85	65	37	342
Slimane Hammoudi	166 0.9×	88 0.9×	78 0.9×	45 0.5×	125 1.9×	47	344
Joan Fons	172 0.9×	106 1.0×	33 0.4×	58 0.7×	155 2.4×	31	334
Christoph Mayr‐Dorn	216 1.1×	122 1.2×	33 0.4×	53 0.6×	134 2.1×	78	400
Christian R. Prause	232 1.2×	95 0.9×	31 0.4×	42 0.5×	67 1.0×	34	403
Jacques Pasquier	125 0.6×	150 1.5×	40 0.5×	67 0.8×	64 1.0×	30	308
Vasco Amaral	169 0.9×	68 0.7×	45 0.5×	22 0.3×	155 2.4×	63	354
Javier Criado	137 0.7×	149 1.5×	26 0.3×	33 0.4×	91 1.4×	44	293
Angela Guercio	185 1.0×	82 0.8×	16 0.2×	46 0.5×	99 1.5×	46	370
Massimo Tisi	196 1.0×	104 1.0×	54 0.6×	17 0.2×	121 1.9×	29	339
Sea Ling	142 0.7×	211 2.1×	86 1.0×	130 1.5×	58 0.9×	61	380

Countries citing papers authored by Pedro Valderas

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Valderas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Valderas

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