Massimo Migliorini

37 total papers · 1.0k total citations
31 papers, 782 citations indexed

About

Massimo Migliorini is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Massimo Migliorini has authored 31 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Nature and Landscape Conservation and 10 papers in Ecology. Recurrent topics in Massimo Migliorini's work include Study of Mite Species (18 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Invertebrate Taxonomy and Ecology (8 papers). Massimo Migliorini is often cited by papers focused on Study of Mite Species (18 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Invertebrate Taxonomy and Ecology (8 papers). Massimo Migliorini collaborates with scholars based in Italy, United Kingdom and Germany. Massimo Migliorini's co-authors include Tancredi Caruso, Fabio Bernini, Gaia Pigino, Claudio Leonzio, Roberto Bargagli, Nicola Bianchi, Pietro Paolo Fanciulli, Eugenio Paccagnini, Jörgen Ripa and Katarina Hedlund and has published in prestigious journals such as Environmental Pollution, Oecologia and Journal of Animal Ecology.

In The Last Decade

Massimo Migliorini

30 papers receiving 750 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Migliorini 401 255 227 160 118 31 782
Andrei S. Zaitsev 316 0.8× 227 0.9× 232 1.0× 121 0.8× 60 0.5× 20 625
R.I. Van Hook 189 0.5× 212 0.8× 171 0.8× 103 0.6× 97 0.8× 29 770
Alexander Bruckner 352 0.9× 335 1.3× 218 1.0× 166 1.0× 57 0.5× 38 888
Céline Pernin 251 0.6× 161 0.6× 115 0.5× 84 0.5× 110 0.9× 24 678
Helen J. Read 260 0.6× 146 0.6× 96 0.4× 139 0.9× 77 0.7× 32 636
Julia Seeber 307 0.8× 334 1.3× 259 1.1× 127 0.8× 55 0.5× 52 877
Guy Josens 261 0.7× 231 0.9× 146 0.6× 148 0.9× 45 0.4× 41 623
Kristine Maraldo 201 0.5× 286 1.1× 76 0.3× 88 0.6× 145 1.2× 26 745
Otto Larink 346 0.9× 244 1.0× 67 0.3× 117 0.7× 98 0.8× 39 898
José Camilo Bedano 370 0.9× 253 1.0× 115 0.5× 97 0.6× 98 0.8× 43 879

Countries citing papers authored by Massimo Migliorini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Migliorini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Migliorini

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