Tahmid Nayeem

47 total papers · 690 total citations
25 papers, 470 citations indexed

About

Tahmid Nayeem is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Tahmid Nayeem has authored 25 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Marketing, 9 papers in Organizational Behavior and Human Resource Management and 8 papers in Sociology and Political Science. Recurrent topics in Tahmid Nayeem's work include Consumer Behavior in Brand Consumption and Identification (12 papers), Customer Service Quality and Loyalty (9 papers) and Consumer Retail Behavior Studies (6 papers). Tahmid Nayeem is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (12 papers), Customer Service Quality and Loyalty (9 papers) and Consumer Retail Behavior Studies (6 papers). Tahmid Nayeem collaborates with scholars based in Australia, United States and Saudi Arabia. Tahmid Nayeem's co-authors include Feisal Murshed, Abhishek Dwivedi, Michael Mehmet, Riza Casidy, Russell Roberts, Steven D’Alessandro, Suzanne Zyngier, Xiaodi Huang, Anthony Saliba and Tanveer Zia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Food Research International.

In The Last Decade

Tahmid Nayeem

23 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Tahmid Nayeem	294	247	102	46	37	25	470
Mark Kilgour	254 0.9×	182 0.7×	104 1.0×	33 0.7×	45 1.2×	19	502
GuoQiong Ivanka Huang	255 0.9×	316 1.3×	144 1.4×	42 0.9×	31 0.8×	25	481
Juwon Choi	227 0.8×	252 1.0×	120 1.2×	70 1.5×	55 1.5×	17	490
D. Israel	291 1.0×	249 1.0×	83 0.8×	66 1.4×	27 0.7×	19	462
Frauke Mattison Thompson	226 0.8×	212 0.9×	119 1.2×	70 1.5×	37 1.0×	17	460
Noppadol Manosuthi	209 0.7×	308 1.2×	99 1.0×	47 1.0×	51 1.4×	23	479
Ursula Scholl‐Grissemann	256 0.9×	271 1.1×	209 2.0×	51 1.1×	39 1.1×	24	533
Long Thang Van Nguyen	173 0.6×	240 1.0×	93 0.9×	68 1.5×	54 1.5×	36	433
Laurent Bertrandias	291 1.0×	178 0.7×	44 0.4×	54 1.2×	46 1.2×	24	472
Anandakuttan B. Unnithan	263 0.9×	212 0.9×	106 1.0×	57 1.2×	47 1.3×	19	412

Countries citing papers authored by Tahmid Nayeem

Since Specialization

Citations

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

Fields of papers citing papers by Tahmid Nayeem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahmid Nayeem

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