Rafael Asenjo

107 total papers · 729 total citations
53 papers, 419 citations indexed

About

Rafael Asenjo is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rafael Asenjo has authored 53 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hardware and Architecture, 34 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Rafael Asenjo's work include Parallel Computing and Optimization Techniques (36 papers), Distributed and Parallel Computing Systems (15 papers) and Embedded Systems Design Techniques (11 papers). Rafael Asenjo is often cited by papers focused on Parallel Computing and Optimization Techniques (36 papers), Distributed and Parallel Computing Systems (15 papers) and Embedded Systems Design Techniques (11 papers). Rafael Asenjo collaborates with scholars based in Spain, United Kingdom and United States. Rafael Asenjo's co-authors include Ángeles Navarro, Cǎlin Caşcaval, Siham Tabik, Emilio L. Zapata, Andrés Rodríguez, Michael Voss, James Reinders, Jose Nunez‐Yanez, Óscar Plata and María Jesús Garzarán and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Computers.

In The Last Decade

Rafael Asenjo

52 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Rafael Asenjo	289	274	107	69	42	53	419
Arturo González-Escribano	278 1.0×	267 1.0×	101 0.9×	45 0.7×	74 1.8×	60	415
Diego R. Llanos	312 1.1×	296 1.1×	99 0.9×	54 0.8×	71 1.7×	69	471
Weixing Ji	271 0.9×	222 0.8×	59 0.6×	73 1.1×	43 1.0×	62	397
Kai Lu	278 1.0×	233 0.9×	95 0.9×	77 1.1×	45 1.1×	52	453
Hwansoo Han	260 0.9×	238 0.9×	80 0.7×	65 0.9×	39 0.9×	56	373
Carlo Bertolli	314 1.1×	271 1.0×	114 1.1×	36 0.5×	20 0.5×	35	412
Allen D. Malony	312 1.1×	248 0.9×	107 1.0×	19 0.3×	38 0.9×	39	440
Lisa DiPippo	311 1.1×	195 0.7×	83 0.8×	90 1.3×	39 0.9×	30	432
Miguel Masmano	222 0.8×	308 1.1×	51 0.5×	54 0.8×	21 0.5×	28	379
Pablo Sánchez	195 0.7×	265 1.0×	41 0.4×	41 0.6×	45 1.1×	53	427

Countries citing papers authored by Rafael Asenjo

Since Specialization

Citations

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

Fields of papers citing papers by Rafael Asenjo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Asenjo

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