David G. Míguez

64 total papers · 1.6k total citations
41 papers, 772 citations indexed

About

David G. Míguez is a scholar working on Molecular Biology, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, David G. Míguez has authored 41 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Computer Networks and Communications and 10 papers in Biomedical Engineering. Recurrent topics in David G. Míguez's work include Nonlinear Dynamics and Pattern Formation (15 papers), Slime Mold and Myxomycetes Research (9 papers) and Developmental Biology and Gene Regulation (8 papers). David G. Míguez is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Slime Mold and Myxomycetes Research (9 papers) and Developmental Biology and Gene Regulation (8 papers). David G. Míguez collaborates with scholars based in Spain, United States and Germany. David G. Míguez's co-authors include Alberto P. Muñuzuri, Francesc Sagués, Pamela A. Silver, Dirk Landgraf, Ian A. Swinburne, Irving R. Epstein, Jaume Casademunt, Vladimir K. Vanag, Elisa Martı́ and Lorenz Kramer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

David G. Míguez

39 papers receiving 762 citations

Author Peers

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

Author						Papers	Cites
David G. Míguez	378	309	123	114	104	41	772
Preben Graae Sørensen	425 1.1×	461 1.5×	46 0.4×	146 1.3×	155 1.5×	22	820
Bakhtier Vasiev	211 0.6×	235 0.8×	273 2.2×	255 2.2×	124 1.2×	31	890
Ernesto M. Nicola	222 0.6×	264 0.9×	177 1.4×	107 0.9×	227 2.2×	17	710
Dorjsuren Battogtokh	363 1.0×	412 1.3×	59 0.5×	102 0.9×	261 2.5×	27	869
Sune Danø	563 1.5×	347 1.1×	40 0.3×	151 1.3×	98 0.9×	11	831
Ikuko N. Motoike	352 0.9×	179 0.6×	21 0.2×	133 1.2×	46 0.4×	50	815
Atsuko Takamatsu	249 0.7×	178 0.6×	59 0.5×	367 3.2×	95 0.9×	35	791
P. G. Sørensen	302 0.8×	271 0.9×	15 0.1×	109 1.0×	79 0.8×	25	765
Sima Setayeshgar	461 1.2×	47 0.2×	56 0.5×	158 1.4×	88 0.8×	17	691
Vivien Kirk	274 0.7×	375 1.2×	54 0.4×	20 0.2×	412 4.0×	42	885

Countries citing papers authored by David G. Míguez

Since Specialization

Citations

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

Fields of papers citing papers by David G. Míguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Míguez

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