I. Martín

52 total papers · 1.0k total citations
35 papers, 744 citations indexed

About

I. Martín is a scholar working on Plant Science, Genetics and Sociology and Political Science. According to data from OpenAlex, I. Martín has authored 35 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 6 papers in Genetics and 3 papers in Sociology and Political Science. Recurrent topics in I. Martín's work include Wheat and Barley Genetics and Pathology (5 papers), Genetic and Environmental Crop Studies (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). I. Martín is often cited by papers focused on Wheat and Barley Genetics and Pathology (5 papers), Genetic and Environmental Crop Studies (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). I. Martín collaborates with scholars based in Spain, Canada and United States. I. Martín's co-authors include L. Ayerbe, Á. González, J. L. Tenorio, Magdalena Ruíz, P. Collen, Laura Gálvez, Leonard J. S. Tsuji, Daniel Palmero Llamas, Michael O. Rivett and Lucía De la Rosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

I. Martín

32 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
I. Martín 467 149 87 61 56 35 744
X. Liu 385 0.8× 145 1.0× 61 0.7× 138 2.3× 149 2.7× 31 854
Patompong Saengwilai 625 1.3× 148 1.0× 55 0.6× 67 1.1× 22 0.4× 25 839
Yanan Guan 446 1.0× 114 0.8× 141 1.6× 85 1.4× 28 0.5× 48 878
Wang Pu 306 0.7× 121 0.8× 115 1.3× 81 1.3× 100 1.8× 60 669
Guobin Jiang 584 1.3× 222 1.5× 32 0.4× 54 0.9× 38 0.7× 33 711
H.J. Nesbitt 457 1.0× 71 0.5× 59 0.7× 84 1.4× 84 1.5× 35 710
Cassandra K. Walker 563 1.2× 214 1.4× 35 0.4× 120 2.0× 63 1.1× 42 794
Juan Manuel Mancilla-Leytón 329 0.7× 76 0.5× 211 2.4× 60 1.0× 91 1.6× 66 797
Deepak Jaiswal 308 0.7× 157 1.1× 84 1.0× 61 1.0× 53 0.9× 46 674
Wei Zhang 389 0.8× 147 1.0× 132 1.5× 288 4.7× 63 1.1× 52 910

Countries citing papers authored by I. Martín

Since Specialization
Citations

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

Fields of papers citing papers by I. Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Martín

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