Manuela De Carlo

40 total papers · 794 total citations
20 papers, 510 citations indexed

About

Manuela De Carlo is a scholar working on Sociology and Political Science, Marketing and Transportation. According to data from OpenAlex, Manuela De Carlo has authored 20 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 5 papers in Marketing and 5 papers in Transportation. Recurrent topics in Manuela De Carlo's work include Diverse Aspects of Tourism Research (11 papers), Digital Marketing and Social Media (6 papers) and Cruise Tourism Development and Management (5 papers). Manuela De Carlo is often cited by papers focused on Diverse Aspects of Tourism Research (11 papers), Digital Marketing and Social Media (6 papers) and Cruise Tourism Development and Management (5 papers). Manuela De Carlo collaborates with scholars based in Italy, United States and United Kingdom. Manuela De Carlo's co-authors include Gabriele Piccoli, Francesca Cabiddu, Francesca d’Angella, Ruggero Sainaghi, Annette Pritchard, Nigel Morgan, Andrea Rossi, Philip L. Pearce, Mao-Ying Wu and Fabrizio Zerbini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Annals of Tourism Research.

In The Last Decade

Manuela De Carlo

17 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Manuela De Carlo 423 179 78 65 59 20 510
Nuria Huete-Alcocer 458 1.1× 183 1.0× 80 1.0× 76 1.2× 60 1.0× 23 618
Yu-Lan Yuan 458 1.1× 172 1.0× 96 1.2× 128 2.0× 52 0.9× 15 540
Ciná Van Zyl 467 1.1× 180 1.0× 73 0.9× 84 1.3× 52 0.9× 30 547
YunYing Zhong 263 0.6× 137 0.8× 87 1.1× 47 0.7× 32 0.5× 20 507
Changsup Shim 312 0.7× 124 0.7× 92 1.2× 35 0.5× 42 0.7× 25 499
Doris Schmallegger 424 1.0× 156 0.9× 52 0.7× 47 0.7× 52 0.9× 14 492
Rosa María Hernández Maestro 336 0.8× 156 0.9× 156 2.0× 56 0.9× 28 0.5× 19 453
James E. Stoddard 261 0.6× 135 0.8× 61 0.8× 49 0.8× 26 0.4× 23 506
Kwangsoo Park 388 0.9× 173 1.0× 65 0.8× 51 0.8× 52 0.9× 28 537
Berendien Lubbe 290 0.7× 160 0.9× 192 2.5× 61 0.9× 121 2.1× 29 578

Countries citing papers authored by Manuela De Carlo

Since Specialization
Citations

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

Fields of papers citing papers by Manuela De Carlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuela De Carlo. 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 Manuela De Carlo. The network helps show where Manuela De Carlo may publish in the future.

Co-authorship network of co-authors of Manuela De Carlo

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela De Carlo. A scholar is included among the top collaborators of Manuela De Carlo 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 Manuela De Carlo. Manuela De Carlo 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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