Monica Plechero

62 total papers · 493 total citations
25 papers, 299 citations indexed

About

Monica Plechero is a scholar working on Economics and Econometrics, Strategy and Management and Political Science and International Relations. According to data from OpenAlex, Monica Plechero has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 13 papers in Strategy and Management and 10 papers in Political Science and International Relations. Recurrent topics in Monica Plechero's work include Innovation and Knowledge Management (12 papers), Regional Development and Policy (9 papers) and Economic and Technological Innovation (6 papers). Monica Plechero is often cited by papers focused on Innovation and Knowledge Management (12 papers), Regional Development and Policy (9 papers) and Economic and Technological Innovation (6 papers). Monica Plechero collaborates with scholars based in Italy, Sweden and India. Monica Plechero's co-authors include Cristina Chamináde, Elena Zukauskaite, Michaela Trippl, Érica Santini, Marco Bellandi, Giancarlo Corò, Francesco Rullani, Enzo Rullani, Markus Grillitsch and Balaji Parthasarathy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Regional Studies and Economic Geography.

In The Last Decade

Monica Plechero

24 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Monica Plechero 157 117 90 72 43 25 299
Jan Ole Rypestøl 213 1.4× 108 0.9× 108 1.2× 86 1.2× 63 1.5× 16 363
Manuel González-López 146 0.9× 132 1.1× 64 0.7× 68 0.9× 26 0.6× 34 320
Mika Kautonen 142 0.9× 138 1.2× 93 1.0× 136 1.9× 27 0.6× 22 345
Érica Santini 127 0.8× 86 0.7× 51 0.6× 44 0.6× 35 0.8× 21 249
Mariachiara Barzotto 141 0.9× 58 0.5× 86 1.0× 61 0.8× 29 0.7× 26 264
Giancarlo Corò 187 1.2× 170 1.5× 47 0.5× 44 0.6× 42 1.0× 54 333
Roger Normann 146 0.9× 66 0.6× 127 1.4× 85 1.2× 72 1.7× 22 353
René Wintjes 187 1.2× 94 0.8× 118 1.3× 94 1.3× 32 0.7× 25 306
Svend Otto Remøe 143 0.9× 105 0.9× 95 1.1× 81 1.1× 45 1.0× 15 270
Xiao-Shan Yap 123 0.8× 116 1.0× 41 0.5× 54 0.8× 55 1.3× 19 357

Countries citing papers authored by Monica Plechero

Since Specialization
Citations

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

Fields of papers citing papers by Monica Plechero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Plechero

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