David Gómez

36 total papers · 1.2k total citations
28 papers, 966 citations indexed

About

David Gómez is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, David Gómez has authored 28 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 19 papers in Electrical and Electronic Engineering and 8 papers in Automotive Engineering. Recurrent topics in David Gómez's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Nanofabrication and Lithography Techniques (9 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). David Gómez is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Nanofabrication and Lithography Techniques (9 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). David Gómez collaborates with scholars based in United States, United Kingdom and Spain. David Gómez's co-authors include Igor Yu. Galaev, Sergey V. Mikhalovsky, María Rosa Aguilar, Fatima M. Plieva, Christopher A. Bower, Matthew Meitl, Salvatore Bonafede, António José Trindade, Carl Prevatte and Tanya Moore and has published in prestigious journals such as Applied Physics Letters, Sensors and Actuators B Chemical and Nanotechnology.

In The Last Decade

David Gómez

27 papers receiving 870 citations

Author Peers

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

Author Last Decade Papers Cites
David Gómez 493 449 180 158 136 28 966
Mao‐Jie Zhang 299 0.6× 703 1.6× 155 0.9× 412 2.6× 71 0.5× 31 1.1k
Xingkun Man 375 0.8× 389 0.9× 59 0.3× 414 2.6× 31 0.2× 51 1.1k
Huanhuan Lu 251 0.5× 366 0.8× 126 0.7× 432 2.7× 144 1.1× 58 1.1k
Pratyush Dayal 162 0.3× 384 0.9× 184 1.0× 139 0.9× 62 0.5× 42 900
Chao Huang 185 0.4× 412 0.9× 54 0.3× 239 1.5× 101 0.7× 33 929
Georgi Paschew 210 0.4× 560 1.2× 48 0.3× 80 0.5× 339 2.5× 19 933
Ting Pan 160 0.3× 544 1.2× 154 0.9× 186 1.2× 24 0.2× 40 905
Nader Taheri Qazvini 227 0.5× 304 0.7× 56 0.3× 299 1.9× 57 0.4× 40 1.2k
Koki Sano 106 0.2× 345 0.8× 93 0.5× 263 1.7× 205 1.5× 38 1.0k
Jonathan Goff 343 0.7× 464 1.0× 44 0.2× 363 2.3× 27 0.2× 33 1.1k

Countries citing papers authored by David Gómez

Since Specialization
Citations

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

Fields of papers citing papers by David Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gómez

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