G Martín

32 total papers · 1.4k total citations
20 papers, 1.2k citations indexed

About

G Martín is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Molecular Biology. According to data from OpenAlex, G Martín has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Computational Mechanics and 5 papers in Molecular Biology. Recurrent topics in G Martín's work include Fluid Dynamics and Heat Transfer (6 papers), Electrohydrodynamics and Fluid Dynamics (6 papers) and Acute Myeloid Leukemia Research (4 papers). G Martín is often cited by papers focused on Fluid Dynamics and Heat Transfer (6 papers), Electrohydrodynamics and Fluid Dynamics (6 papers) and Acute Myeloid Leukemia Research (4 papers). G Martín collaborates with scholars based in United Kingdom, Spain and Germany. G Martín's co-authors include Stephen D. Hoath, Stephen Cobbold, Herman Waldmann, IM Hutchings, J. R. Castrejón-Pita, Ian M. Hutchings, J.G. Morgan, Joanna D. Davies, Jenny M. Phillips and Sara E. Marshall and has published in prestigious journals such as Nature, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

G Martín

20 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
G Martín 394 339 260 255 202 20 1.2k
Johannes Preiner 130 0.3× 198 0.6× 82 0.3× 476 1.9× 25 0.1× 39 1.5k
Jifu Tan 105 0.3× 74 0.2× 184 0.7× 663 2.6× 60 0.3× 34 1.3k
Xuemin Liu 162 0.4× 118 0.3× 17 0.1× 395 1.5× 32 0.2× 69 1.5k
Noo Li Jeon 277 0.7× 80 0.2× 33 0.1× 842 3.3× 16 0.1× 21 1.2k
U. Srinivasan 534 1.4× 129 0.4× 21 0.1× 349 1.4× 68 0.3× 12 1.2k
Minghui Tang 141 0.4× 75 0.2× 33 0.1× 611 2.4× 54 0.3× 58 1.3k
Sewoon Han 148 0.4× 32 0.1× 108 0.4× 703 2.8× 8 0.0× 30 1.1k
Stefania D’Amone 180 0.5× 28 0.1× 57 0.2× 456 1.8× 19 0.1× 38 985
Stuart S. Dunn 489 1.2× 68 0.2× 25 0.1× 472 1.9× 8 0.0× 15 1.2k
Adam R. Shields 114 0.3× 33 0.1× 49 0.2× 689 2.7× 20 0.1× 15 1.3k

Countries citing papers authored by G Martín

Since Specialization
Citations

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

Fields of papers citing papers by G Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Martín

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