H. G. Parsa

114 total papers · 3.5k total citations
84 papers, 2.6k citations indexed

About

H. G. Parsa is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, H. G. Parsa has authored 84 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Marketing, 21 papers in Sociology and Political Science and 18 papers in Organizational Behavior and Human Resource Management. Recurrent topics in H. G. Parsa's work include Consumer Retail Behavior Studies (19 papers), Customer Service Quality and Loyalty (18 papers) and Consumer Behavior in Brand Consumption and Identification (17 papers). H. G. Parsa is often cited by papers focused on Consumer Retail Behavior Studies (19 papers), Customer Service Quality and Loyalty (18 papers) and Consumer Behavior in Brand Consumption and Identification (17 papers). H. G. Parsa collaborates with scholars based in United States, Taiwan and India. H. G. Parsa's co-authors include John Self, Hsin‐Hui Hu, Khaldoon Nusair, Gunae Choi, Milos Bujisic, David Njite, Kirti Dutta, Sandra Naipaul, Hae Jin Yoon and Umashankar Venkatesh and has published in prestigious journals such as Journal of Business Research, Tourism Management and International Journal of Hospitality Management.

In The Last Decade

H. G. Parsa

81 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
H. G. Parsa 1.6k 858 734 410 371 84 2.6k
Harold H. Kassarjian 2.0k 1.3× 1.1k 1.3× 628 0.9× 441 1.1× 202 0.5× 49 3.6k
Dennis Reynolds 1.1k 0.7× 712 0.8× 491 0.7× 223 0.5× 405 1.1× 64 2.2k
Nick Johns 1.0k 0.6× 869 1.0× 711 1.0× 299 0.7× 208 0.6× 82 2.5k
Sadrudin A. Ahmed 1.7k 1.1× 570 0.7× 370 0.5× 703 1.7× 461 1.2× 62 2.4k
Chih‐Hsing Liu 1.4k 0.9× 2.0k 2.4× 984 1.3× 667 1.6× 227 0.6× 155 4.0k
Merrie Brucks 2.1k 1.3× 1.3k 1.5× 677 0.9× 254 0.6× 135 0.4× 40 3.6k
Ajay K. Manrai 1.3k 0.8× 657 0.8× 364 0.5× 329 0.8× 330 0.9× 89 2.1k
Bee‐Lia Chua 1.6k 1.0× 1.9k 2.2× 948 1.3× 179 0.4× 297 0.8× 93 3.3k
Meehee Cho 931 0.6× 1.0k 1.2× 720 1.0× 273 0.7× 124 0.3× 71 2.4k
Jeou‐Shyan Horng 1.3k 0.8× 1.7k 1.9× 675 0.9× 455 1.1× 347 0.9× 102 3.6k

Countries citing papers authored by H. G. Parsa

Since Specialization
Citations

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

Fields of papers citing papers by H. G. Parsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. G. Parsa. 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 H. G. Parsa. The network helps show where H. G. Parsa may publish in the future.

Co-authorship network of co-authors of H. G. Parsa

This figure shows the co-authorship network connecting the top 25 collaborators of H. G. Parsa. A scholar is included among the top collaborators of H. G. Parsa 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 H. G. Parsa. H. G. Parsa 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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