Gerald L. Lohse

4.9k citations
39 papers · 3.4k indexed · h-index 23

Gerald L. Lohse

39 papers receiving 2.9k citations

Peers

Gerald L. Lohse
Comparison fields: 5 of 123
  • Information Systems and Management 1.0k
  • Marketing 1.0k
  • General Decision Sciences 167
  • Organizational Behavior and Human Resource Management 520
  • Human-Computer Interaction 258
Replace Iris Vessey with:
Iris Vessey United States
Gerald Häubl Canada
Sylvain Sénécal Canada
Olivier Toubia United States
Li Chen Hong Kong
Siddharth Suri United States
Berend Wierenga Netherlands
Pearl Pu Switzerland
Oded Netzer United States
Amanda Spink United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerald L. Lohse

Since Specialization
Citations

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

Fields of papers citing papers by Gerald L. Lohse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald L. Lohse. 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 Gerald L. Lohse. The network helps show where Gerald L. Lohse may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Gerald L. Lohse, 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 Gerald L. Lohse Line = papers co-authored together Gerald L. Lohse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
International differences in information privacy concern: Implications for the globalization of electronic commerce
20046
2 200245
3
On site: to opt-in or opt-out?: It depends on the question
20013
4
To Opt-In or Opt-Out? It Depends on the Question
200116
5 200168
6 200171
7 200054
8 1999239
9 199922
10 1998435
11 199871
12 1997288
13 199772
14
A Comparison of Two Process Tracing Methods for Choice Tasks
19962
15 1996129
16 199520
17 199448
18
Eye Movement-Based Analyses of Graphs and Tables: The Next Generation.
19934
19 1993141
20
A cognitive model for understanding graphical perception.
19912

About Gerald L. Lohse

Gerald L. Lohse is a scholar working on Information Systems and Management, Marketing and Human-Computer Interaction, having authored 39 papers that have together received 3.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Visual and Cognitive Learning Processes (7 papers), Consumer Market Behavior and Pricing (6 papers), Data Visualization and Analytics (6 papers), Consumer Retail Behavior Studies (6 papers), Image Retrieval and Classification Techniques (6 papers), Digital Marketing and Social Media (5 papers) and Aesthetic Perception and Analysis (4 papers). The work is most often cited by research in Information Systems and Management (1.0k citations), Marketing (1.0k citations) and General Decision Sciences (167 citations). Gerald L. Lohse has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Eric J. Johnson, Steven Bellman, Stephen J. Kobrin, A. Ravishankar Rao, A. R. Rao, Neff Walker, Kevin Biolsi, Henry H. Rueter, Dennis L. Rosen and Nalini Bhushan. Their work appears in journals such as Journal of Marketing, Management Science and Journal of Marketing 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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