Eduardo Peis

64 total papers · 612 total citations
29 papers, 408 citations indexed

About

Eduardo Peis is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Eduardo Peis has authored 29 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Eduardo Peis's work include Semantic Web and Ontologies (11 papers), Recommender Systems and Techniques (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Eduardo Peis is often cited by papers focused on Semantic Web and Ontologies (11 papers), Recommender Systems and Techniques (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Eduardo Peis collaborates with scholars based in Spain, Paraguay and Mexico. Eduardo Peis's co-authors include Enrique Herrera‐Viedma, Rosa Lorés Sanz, Carlos Porcel, Álvaro Tejeda-Lorente, Sergio Alonso, Juan Carlos Fernández Molina, Manuel Arroyo‐Morales, Manuel J. Cobo, José A. Moral-Muñoz and Rafael Pedraza-Jiménez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Information Processing & Management.

In The Last Decade

Eduardo Peis

22 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Eduardo Peis	203	166	122	57	43	29	408
Erich Teppan	166 0.8×	157 0.9×	58 0.5×	40 0.7×	25 0.6×	33	382
Bharat Bhasker	238 1.2×	189 1.1×	52 0.4×	56 1.0×	38 0.9×	40	458
Wei Wang	149 0.7×	201 1.2×	70 0.6×	78 1.4×	44 1.0×	42	418
Edy Portmann	89 0.4×	213 1.3×	71 0.6×	31 0.5×	26 0.6×	83	436
Juan Bernabé-Moreno	220 1.1×	224 1.3×	69 0.6×	57 1.0×	27 0.6×	31	464
Jesús Arias Fisteus	131 0.6×	183 1.1×	64 0.5×	46 0.8×	21 0.5×	33	450
Byron Marshall	180 0.9×	185 1.1×	47 0.4×	35 0.6×	16 0.4×	35	452
Felix Mannhardt	219 1.1×	168 1.0×	106 0.9×	16 0.3×	8 0.2×	30	471
Hung‐Hsuan Chen	218 1.1×	233 1.4×	58 0.5×	43 0.8×	30 0.7×	39	492
Edward T. O’Neill	293 1.4×	146 0.9×	61 0.5×	33 0.6×	28 0.7×	48	480

Countries citing papers authored by Eduardo Peis

Since Specialization

Citations

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

Fields of papers citing papers by Eduardo Peis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Peis

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