Miguel Cantamutto

94 total papers · 1.1k total citations
69 papers, 771 citations indexed

About

Miguel Cantamutto is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Miguel Cantamutto has authored 69 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 12 papers in Molecular Biology and 12 papers in Agronomy and Crop Science. Recurrent topics in Miguel Cantamutto's work include Sunflower and Safflower Cultivation (32 papers), Weed Control and Herbicide Applications (17 papers) and Seed Germination and Physiology (12 papers). Miguel Cantamutto is often cited by papers focused on Sunflower and Safflower Cultivation (32 papers), Weed Control and Herbicide Applications (17 papers) and Seed Germination and Physiology (12 papers). Miguel Cantamutto collaborates with scholars based in Argentina, United States and Spain. Miguel Cantamutto's co-authors include Mónica Poverene, Alejandro Presotto, Soledad Ureta, Guillermo R. Chantre, Alícia Carrera, Gerald J. Seiler, F Carbonell, N. Peinemann, D. Alvarez and Deborah Paola Rondanini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Agriculture Ecosystems & Environment.

In The Last Decade

Miguel Cantamutto

65 papers receiving 749 citations

Author Peers

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

Author						Papers	Cites
Miguel Cantamutto	704	164	104	89	80	69	771
Mónica Poverene	586 0.8×	139 0.8×	121 1.2×	67 0.8×	95 1.2×	52	669
T. A. Campbell	605 0.9×	155 0.9×	138 1.3×	133 1.5×	74 0.9×	57	785
Byung‐Moo Lee	539 0.8×	304 1.9×	69 0.7×	48 0.5×	112 1.4×	67	847
Xiaoling Song	648 0.9×	318 1.9×	150 1.4×	46 0.5×	54 0.7×	60	906
Mueen Alam Khan	559 0.8×	105 0.6×	76 0.7×	89 1.0×	40 0.5×	67	727
Steven D. Linscombe	692 1.0×	87 0.5×	231 2.2×	68 0.8×	61 0.8×	39	754
S. Rezgui	556 0.8×	71 0.4×	46 0.4×	101 1.1×	72 0.9×	65	680
Margaret Worthington	666 0.9×	113 0.7×	65 0.6×	128 1.4×	132 1.6×	55	831
Ashish Kumar	686 1.0×	98 0.6×	78 0.8×	53 0.6×	76 0.9×	63	790
Domagoj Šimić	770 1.1×	145 0.9×	161 1.5×	216 2.4×	34 0.4×	98	895

Countries citing papers authored by Miguel Cantamutto

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Cantamutto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Cantamutto

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