Daniel Stieger

1.4k citations
15 papers · 915 · h-index 10

Impact in

Papers in

Daniel Stieger

15 papers receiving 846 citations

Peers

Daniel Stieger
Comparison fields: 5 of 78
  • Marketing 291
  • Computer Science Applications 156
  • Human-Computer Interaction 113
  • Organizational Behavior and Human Resource Management 198
  • Communication 130
Replace Jyun‐Cheng Wang with:
Jyun‐Cheng Wang Taiwan
Matilda Dorotić Norway
Thomas Chesney United Kingdom
Johanna Bragge Finland
Mark Stansfield United Kingdom
Dennis Kundisch Germany
Patricia J. Guinan United States
Hua Ye New Zealand
Teresa M. Shaft United States
Volker Bilgram Germany
Daniel Stieger relative to Jyun‐Cheng Wang Taiwan Jyun‐Cheng Wang's profile →
Citations per field
00.5×1.5×2.1×
Jyun‐Cheng Wang · 1×
Citations per year

Countries citing papers authored by Daniel Stieger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011324
2 2012155
3 2010114
4 2017110
5 201151
6 201748
7 201138
8 199326
9 199514
10 201610
11 20148
12 20108
13
Measuring Consumer Preferences Using Conjoint Poker
20126
14
Avatar-based innovation: how avatars experience co-creation projects in second life
20112
15 19931

About Daniel Stieger

Daniel Stieger is a scholar working on Human-Computer Interaction, Marketing, Information Systems, Social Psychology and Strategy and Management, having authored 15 papers that have together received 915 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Innovative Human-Technology Interaction (3 papers), Consumer Market Behavior and Pricing (2 papers), Animal and Plant Science Education (2 papers), Web Data Mining and Analysis (2 papers), Semantic Web and Ontologies (2 papers), Open Source Software Innovations (2 papers) and Green IT and Sustainability (1 paper). The work is most often cited by research in Marketing (291 citations), Computer Science Applications (156 citations), Human-Computer Interaction (113 citations), Organizational Behavior and Human Resource Management (198 citations) and Communication (130 citations). Daniel Stieger has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Kurt Matzler, Sayan Chatterjee, Johann Fueller, Thomas Köhler, Johann Füller, Stefan Seidel, Leona Chandra Kruse, Hanspeter Frei, Olivier Toubia and Andreas Kallmuenzer. Their work appears in journals such as Journal of Consumer Policy, Information Processing & Management, Computers in Human Behavior, European Journal of Information Systems and MIS Quarterly.

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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