David del Rio

85 total papers · 577 total citations
60 papers, 392 citations indexed

About

David del Rio is a scholar working on Electrical and Electronic Engineering, Surfaces, Coatings and Films and Biomedical Engineering. According to data from OpenAlex, David del Rio has authored 60 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 15 papers in Surfaces, Coatings and Films and 8 papers in Biomedical Engineering. Recurrent topics in David del Rio's work include Radio Frequency Integrated Circuit Design (24 papers), Advancements in Photolithography Techniques (24 papers) and Microwave Engineering and Waveguides (17 papers). David del Rio is often cited by papers focused on Radio Frequency Integrated Circuit Design (24 papers), Advancements in Photolithography Techniques (24 papers) and Microwave Engineering and Waveguides (17 papers). David del Rio collaborates with scholars based in Spain, Belgium and Netherlands. David del Rio's co-authors include Juan F. Sevillano, Roc Berenguer, Vladimir Ermolov, Héctor Solar, Antti Lamminen, Jussi Säily, Igone Vélez, Andrea Mazzanti, L. Pain and Werner Gillijns and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

David del Rio

56 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
David del Rio	362	62	54	49	24	60	392
Hajime Aoyama	297 0.8×	77 1.2×	17 0.3×	123 2.5×	22 0.9×	72	385
Holger Heuermann	333 0.9×	64 1.0×	40 0.7×	8 0.2×	8 0.3×	67	379
O.W. Otto	218 0.6×	247 4.0×	19 0.4×	27 0.6×	28 1.2×	44	382
Jongwook Kye	367 1.0×	133 2.1×	6 0.1×	38 0.8×	26 1.1×	56	395
L. Musa	242 0.7×	36 0.6×	56 1.0×	10 0.2×	5 0.2×	52	421
K.G. Nair	322 0.9×	21 0.3×	385 7.1×	33 0.7×	14 0.6×	53	439
Martin McCallum	310 0.9×	102 1.6×	20 0.4×	77 1.6×	7 0.3×	57	360
Khushboo Singh	155 0.4×	37 0.6×	201 3.7×	8 0.2×	22 0.9×	75	361
Surya Prakash Singh	309 0.9×	209 3.4×	39 0.7×	4 0.1×	16 0.7×	43	379
Alon Ludwig	258 0.7×	66 1.1×	201 3.7×	13 0.3×	22 0.9×	33	384

Countries citing papers authored by David del Rio

Since Specialization

Citations

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

Fields of papers citing papers by David del Rio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David del Rio. 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 David del Rio. The network helps show where David del Rio may publish in the future.

Co-authorship network of co-authors of David del Rio

This figure shows the co-authorship network connecting the top 25 collaborators of David del Rio. A scholar is included among the top collaborators of David del Rio 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 David del Rio. David del Rio 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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