László Sajtos

45 papers receiving 811 citations

Peers

László Sajtos
Comparison fields: 5 of 109
  • Marketing 327
  • Organizational Behavior and Human Resource Management 292
  • Information Systems and Management 95
  • Business and International Management 24
  • Strategy and Management 179
Replace Sven Tuzovic with:
Sven Tuzovic Australia
Qionglei Yu United Kingdom
Junsong Chen China
Alireza Nazarian United Kingdom
Dirk Totzek Germany
Liana Victorino United States
Yasser Moustafa Shehawy Saudi Arabia
Gavin L. Fox United States
Daniela Andreini Italy
Lawrence Silver United States
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Citations per field
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Citations per year

Countries citing papers authored by László Sajtos

Since Specialization
Citations

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

Fields of papers citing papers by László Sajtos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside László Sajtos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Sajtos Line = papers co-authored together László Sajtos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201092
3 200968
4 202060
5 202247
6 202445
7 201936
8
SPSS kutatási és adatelemzési kézikönyv
200735
9 202431
10 202031
11 201631
12 201827
13 200821
14 201620
15 201518
16 202018
17 201118
18 202017
19 201816
20 201814

About László Sajtos

László Sajtos is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Marketing, Social Psychology and Strategy and Management, having authored 48 papers that have together received 853 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (15 papers), Digital Marketing and Social Media (10 papers), Consumer Behavior in Brand Consumption and Identification (6 papers), Service and Product Innovation (6 papers), AI in Service Interactions (4 papers), Consumer Retail Behavior Studies (4 papers), Hungarian Social, Economic and Educational Studies (3 papers) and Business Strategy and Innovation (3 papers). The work is most often cited by research in Marketing (327 citations), Organizational Behavior and Human Resource Management (292 citations), Information Systems and Management (95 citations), Business and International Management (24 citations) and Strategy and Management (179 citations). László Sajtos has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Roderick J. Brodie, Vasilis Theoharakis, Graham Hooley, Karen V. Fernandez, Michael Haenlein, Manfred Krafft, Paolo Guenzi, Ariel Zoltán Mitev, Robert A. Davis and Peter J. Danaher. Their work appears in journals such as Journal of Service Theory and Practice, Journal of service management, Journal of Business Research, Journal of Retailing and Consumer Services and Journal of Service Research.

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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