David V. Pavesic

30 total papers · 473 total citations
17 papers, 377 citations indexed

About

David V. Pavesic is a scholar working on Tourism, Leisure and Hospitality Management, Management of Technology and Innovation and Social Psychology. According to data from OpenAlex, David V. Pavesic has authored 17 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Tourism, Leisure and Hospitality Management, 3 papers in Management of Technology and Innovation and 2 papers in Social Psychology. Recurrent topics in David V. Pavesic's work include Hospitality and Tourism Education (8 papers), Management and Marketing Education (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). David V. Pavesic is often cited by papers focused on Hospitality and Tourism Education (8 papers), Management and Marketing Education (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). David V. Pavesic collaborates with scholars based in United States. David V. Pavesic's co-authors include Robert A. Brymer, Roland W. Brown and Jack D. Ninemeier and has published in prestigious journals such as International Journal of Hospitality Management, Hospitality Research Journal and Cornell Hotel and Restaurant Administration Quarterly.

In The Last Decade

David V. Pavesic

17 papers receiving 313 citations

Author Peers

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

Author Last Decade Papers Cites
David V. Pavesic 212 156 76 75 58 17 377
Eric A. Brown 168 0.8× 230 1.5× 119 1.6× 69 0.9× 38 0.7× 25 429
Evangelia Marinakou 110 0.5× 181 1.2× 150 2.0× 38 0.5× 46 0.8× 28 438
Jean Hertzman 94 0.4× 122 0.8× 102 1.3× 38 0.5× 55 0.9× 27 371
Raymond J. Goodman 112 0.5× 148 0.9× 160 2.1× 40 0.5× 249 4.3× 9 445
Joseph “Mick” La Lopa 81 0.4× 186 1.2× 108 1.4× 64 0.9× 18 0.3× 27 356
Sonia Bharwani 99 0.5× 209 1.3× 209 2.8× 26 0.3× 143 2.5× 10 442
Maree Walo 170 0.8× 101 0.6× 222 2.9× 91 1.2× 17 0.3× 20 401
Judy L. Miller 107 0.5× 132 0.8× 129 1.7× 50 0.7× 107 1.8× 30 396
Vivienne J. Wildes 73 0.3× 210 1.3× 136 1.8× 18 0.2× 67 1.2× 16 340
Linda Shea 82 0.4× 149 1.0× 167 2.2× 28 0.4× 153 2.6× 29 343

Countries citing papers authored by David V. Pavesic

Since Specialization
Citations

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

Fields of papers citing papers by David V. Pavesic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David V. Pavesic. 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 David V. Pavesic. The network helps show where David V. Pavesic may publish in the future.

Co-authorship network of co-authors of David V. Pavesic

This figure shows the co-authorship network connecting the top 25 collaborators of David V. Pavesic. A scholar is included among the top collaborators of David V. Pavesic 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 David V. Pavesic. David V. Pavesic 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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