Bodo Lang

1.9k citations
36 papers · 1.4k · h-index 20

Impact in

Papers in

Bodo Lang

33 papers receiving 1.3k citations

Peers

Bodo Lang
Comparison fields: 5 of 96
  • Marketing 414
  • Organizational Behavior and Human Resource Management 426
  • Information Systems and Management 127
  • Sociology and Political Science 242
  • Food Science 66
Replace Ujang Sumarwan with:
Ujang Sumarwan Indonesia
Hak‐Seon Kim South Korea
Jeong-Eun Park South Korea
Long-Chuan Lu Taiwan
Faruk Anıl Konuk Türkiye
Jae‐Eun Chung South Korea
Cindy Lombart France
Mototaka Sakashita Japan
Gary Mortimer Australia
Eojina Kim United States
Bodo Lang relative to Ujang Sumarwan Indonesia Ujang Sumarwan's profile →
Citations per field
00.5×1.5×1.9×
Ujang Sumarwan · 1×
Citations per year

Countries citing papers authored by Bodo Lang

Since Specialization
Citations

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

Fields of papers citing papers by Bodo Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bodo Lang, 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 Bodo Lang Line = papers co-authored together Bodo Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001320
2 2003134
3 200387
4 201979
5 202178
6 202072
7 201370
8 201367
9
Word of Mouth: What We Know and What We Have Yet to Learn
201351
10 202147
11 202145
12 201143
13 202043
14 201740
15 202136
16 202235
17 202128
18 200322
19 201121
20 201120

About Bodo Lang

Bodo Lang is a scholar working on Marketing, Organizational Behavior and Human Resource Management, Information Systems and Management, Sociology and Political Science and Plant Science, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (6 papers), Digital Marketing and Social Media (4 papers), Digital Games and Media (4 papers), Consumer Retail Behavior Studies (3 papers), Technology Adoption and User Behaviour (3 papers), Organic Food and Agriculture (3 papers), Consumer Market Behavior and Pricing (3 papers) and Global Public Health Policies and Epidemiology (3 papers). The work is most often cited by research in Marketing (414 citations), Organizational Behavior and Human Resource Management (426 citations), Information Systems and Management (127 citations), Sociology and Political Science (242 citations) and Food Science (66 citations). Bodo Lang has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Mark Colgate, Robert A. Davis, Denise Maria Conroy, Gavin Northey, Joya A. Kemper, Rebecca M. Dolan, Brett A. S. Martin, Kenneth F. Hyde, Felix Septianto and Sandra D. Smith. Their work appears in journals such as Journal of Retailing and Consumer Services, Drug and Alcohol Review, Appetite, Journal of Business Research and Australasian Marketing Journal (AMJ).

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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