Tri Rakhmawati

63 total papers · 531 total citations
39 papers, 372 citations indexed

About

Tri Rakhmawati is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Strategy and Management. According to data from OpenAlex, Tri Rakhmawati has authored 39 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Marketing, 14 papers in Organizational Behavior and Human Resource Management and 9 papers in Strategy and Management. Recurrent topics in Tri Rakhmawati's work include Customer Service Quality and Loyalty (14 papers), Consumer Behavior and Marketing Influence (11 papers) and Digital Marketing and Social Media (5 papers). Tri Rakhmawati is often cited by papers focused on Customer Service Quality and Loyalty (14 papers), Consumer Behavior and Marketing Influence (11 papers) and Digital Marketing and Social Media (5 papers). Tri Rakhmawati collaborates with scholars based in Indonesia, Canada and Malaysia. Tri Rakhmawati's co-authors include Sik Sumaedi, Nidya Judhi Astrini, Iriana Bakti, Medi Yarmen, Kristian Liaury, Handewi Purwati Saliem, Dana Busschots, Geert Robaeys, Frank Buntinx and Catharina Matheï and has published in prestigious journals such as British Food Journal, International Journal of Quality & Reliability Management and Business Process Management Journal.

In The Last Decade

Tri Rakhmawati

31 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Tri Rakhmawati	121	109	96	56	54	39	372
Nidya Judhi Astrini	124 1.0×	111 1.0×	99 1.0×	50 0.9×	55 1.0×	33	417
Medi Yarmen	177 1.5×	136 1.2×	86 0.9×	102 1.8×	56 1.0×	33	416
Amany E. Salem	99 0.8×	128 1.2×	202 2.1×	23 0.4×	23 0.4×	36	420
K.A. Zakkariya	133 1.1×	118 1.1×	106 1.1×	13 0.2×	27 0.5×	40	438
Livingstone Divine Caesar	124 1.0×	68 0.6×	103 1.1×	63 1.1×	14 0.3×	44	438
Mithat Zeki Dinçer	91 0.8×	122 1.1×	256 2.7×	20 0.4×	14 0.3×	35	354
Theresia Amelia Pawitra	250 2.1×	123 1.1×	91 0.9×	21 0.4×	22 0.4×	24	423
Eunju Suh	113 0.9×	193 1.8×	178 1.9×	30 0.5×	34 0.6×	22	433
Pilar Talón Ballestero	107 0.9×	125 1.1×	203 2.1×	12 0.2×	15 0.3×	40	411
Esther Gracia	192 1.6×	115 1.1×	122 1.3×	30 0.5×	34 0.6×	37	437

Countries citing papers authored by Tri Rakhmawati

Since Specialization

Citations

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

Fields of papers citing papers by Tri Rakhmawati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tri Rakhmawati

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