Damián Knopoff

62 total papers · 1.3k total citations
42 papers, 891 citations indexed

About

Damián Knopoff is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, Damián Knopoff has authored 42 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 20 papers in Modeling and Simulation and 10 papers in Economics and Econometrics. Recurrent topics in Damián Knopoff's work include Opinion Dynamics and Social Influence (12 papers), COVID-19 epidemiological studies (11 papers) and Complex Systems and Time Series Analysis (9 papers). Damián Knopoff is often cited by papers focused on Opinion Dynamics and Social Influence (12 papers), COVID-19 epidemiological studies (11 papers) and Complex Systems and Time Series Analysis (9 papers). Damián Knopoff collaborates with scholars based in Argentina, Spain and Italy. Damián Knopoff's co-authors include Nicola Bellomo, Abdelghani Bellouquid, Juan Soler, Giovanni Dosi, Maria Enrica Virgillito, Maíra Aguiar, Elena De Angelis, Francesca Colasuonno, Nico Stollenwerk and Diletta Burini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers & Mathematics with Applications.

In The Last Decade

Damián Knopoff

39 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Damián Knopoff 386 264 223 172 122 42 891
Mattia Zanella 236 0.6× 311 1.2× 159 0.7× 40 0.2× 87 0.7× 62 808
Carl P. Simon 219 0.6× 186 0.7× 250 1.1× 19 0.1× 76 0.6× 28 1.1k
Yuliya N. Kyrychko 392 1.0× 238 0.9× 391 1.8× 8 0.0× 33 0.3× 48 1.1k
Mahendra Piraveenan 166 0.4× 468 1.8× 113 0.5× 9 0.1× 163 1.3× 56 997
Jon Parker 338 0.9× 139 0.5× 148 0.7× 15 0.1× 196 1.6× 19 944
Daijun Wei 139 0.4× 434 1.6× 157 0.7× 10 0.1× 42 0.3× 28 953
Kazuki Kuga 390 1.0× 240 0.9× 278 1.2× 39 0.2× 208 1.7× 58 1.0k
Tao Li 91 0.2× 353 1.3× 233 1.0× 47 0.3× 98 0.8× 88 959
Marat Rafikov 67 0.2× 410 1.6× 174 0.8× 35 0.2× 13 0.1× 46 952
Mengbin Ye 106 0.3× 534 2.0× 98 0.4× 38 0.2× 176 1.4× 67 1.0k

Countries citing papers authored by Damián Knopoff

Since Specialization
Citations

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

Fields of papers citing papers by Damián Knopoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damián Knopoff

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