Carmelo Mazza

79 total papers · 1.7k total citations
27 papers, 990 citations indexed

About

Carmelo Mazza is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Urban Studies. According to data from OpenAlex, Carmelo Mazza has authored 27 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organizational Behavior and Human Resource Management, 8 papers in Sociology and Political Science and 6 papers in Urban Studies. Recurrent topics in Carmelo Mazza's work include Management and Organizational Studies (10 papers), Cultural Industries and Urban Development (6 papers) and Sport and Mega-Event Impacts (3 papers). Carmelo Mazza is often cited by papers focused on Management and Organizational Studies (10 papers), Cultural Industries and Urban Development (6 papers) and Sport and Mega-Event Impacts (3 papers). Carmelo Mazza collaborates with scholars based in Denmark, France and Spain. Carmelo Mazza's co-authors include Barbara Czarniawska, José Luis Álvarez, Silviya Svejenova, Jesper Strandgaard Pedersen, Marcel Planellas, Kerstin Sahlin‐Andersson, Stephen J. Mezias, Daniela Leto, Licia Larocca and Jihyun Kim and has published in prestigious journals such as Journal of Organizational Behavior, Human Relations and Organization Studies.

In The Last Decade

Carmelo Mazza

25 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
Carmelo Mazza 457 270 240 104 99 27 990
Simona Giorgi 323 0.7× 227 0.8× 236 1.0× 50 0.5× 107 1.1× 18 797
Jesper Strandgaard Pedersen 335 0.7× 194 0.7× 342 1.4× 211 2.0× 85 0.9× 48 920
Charles-Clemens Rüling 284 0.6× 290 1.1× 231 1.0× 72 0.7× 276 2.8× 23 878
Arja Ropo 611 1.3× 199 0.7× 180 0.8× 32 0.3× 99 1.0× 25 1.1k
William Foster 538 1.2× 264 1.0× 349 1.5× 35 0.3× 136 1.4× 58 1.2k
Gregory B. Fairchild 339 0.7× 358 1.3× 217 0.9× 47 0.5× 137 1.4× 25 911
Viviane Sergi 575 1.3× 276 1.0× 228 0.9× 38 0.4× 57 0.6× 26 1.1k
Ellen O’Connor 577 1.3× 143 0.5× 180 0.8× 30 0.3× 118 1.2× 28 849
Elke Schüßler 177 0.4× 325 1.2× 339 1.4× 120 1.2× 106 1.1× 31 894
Charles Booth 427 0.9× 208 0.8× 254 1.1× 45 0.4× 49 0.5× 47 939

Countries citing papers authored by Carmelo Mazza

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Mazza

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