Verena Dorner

1.0k total citations
30 papers, 604 citations indexed

About

Verena Dorner is a scholar working on Information Systems and Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Verena Dorner has authored 30 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 8 papers in Sociology and Political Science and 8 papers in Marketing. Recurrent topics in Verena Dorner's work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (7 papers) and Consumer Market Behavior and Pricing (6 papers). Verena Dorner is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (7 papers) and Consumer Market Behavior and Pricing (6 papers). Verena Dorner collaborates with scholars based in Germany, Australia and Austria. Verena Dorner's co-authors include Dominik Jung, Michael Scholz, Christof Weinhardt, Florian Glaser, Stefan Morana, Franz Lehner, Michael Thomas Knierim, Guido Schryen, Alexander Benlian and Andrea Landherr and has published in prestigious journals such as European Journal of Operational Research, Journal of Vocational Behavior and Decision Support Systems.

In The Last Decade

Verena Dorner

30 papers receiving 572 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Verena Dorner Germany 12 188 140 139 137 127 30 604
Mateusz Dolata Switzerland 13 158 0.8× 139 1.0× 79 0.6× 207 1.5× 76 0.6× 47 688
Sebastian Schuetz United States 11 263 1.4× 324 2.3× 124 0.9× 190 1.4× 140 1.1× 24 820
Donald Heath United States 7 150 0.8× 78 0.6× 81 0.6× 110 0.8× 40 0.3× 14 705
Tero Vartiainen Finland 13 167 0.9× 308 2.2× 103 0.7× 82 0.6× 133 1.0× 54 722
Ross A. Malaga United States 13 165 0.9× 119 0.8× 120 0.9× 168 1.2× 59 0.5× 27 628
Alex Murray United States 8 152 0.8× 176 1.3× 82 0.6× 215 1.6× 37 0.3× 17 662
Zachary R. Steelman United States 13 474 2.5× 133 0.9× 80 0.6× 92 0.7× 258 2.0× 19 828
Robin Pennington United States 12 283 1.5× 102 0.7× 80 0.6× 139 1.0× 312 2.5× 16 732
Tyge‐F. Kummer Australia 13 187 1.0× 68 0.5× 194 1.4× 87 0.6× 118 0.9× 41 645
Mario Silić Switzerland 15 282 1.5× 339 2.4× 66 0.5× 169 1.2× 200 1.6× 45 958

Countries citing papers authored by Verena Dorner

Since Specialization
Citations

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

Fields of papers citing papers by Verena Dorner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Dorner

This figure shows the co-authorship network connecting the top 25 collaborators of Verena Dorner. A scholar is included among the top collaborators of Verena Dorner 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 Verena Dorner. Verena Dorner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Knierim, Michael Thomas, Marc T. P. Adam, Michael Beigl, et al.. (2024). Hybrid Adaptive Systems. Business & Information Systems Engineering. 66(2). 233–247. 1 indexed citations
2.
Dorner, Verena, et al.. (2020). The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives. Schmalenbach Business Review. 72(3). 397–435. 10 indexed citations
3.
Adam, Marc T. P., et al.. (2018). Live Biofeedback as a User Interface Design Element: A Review of the Literature. Communications of the Association for Information Systems. 257–296. 22 indexed citations
4.
5.
Dorner, Verena, et al.. (2017). DETECTING PANIC POTENTIAL IN SOCIAL MEDIA TWEETS. Journal of the Association for Information Systems. 3181. 2 indexed citations
6.
Satzger, Gerhard, et al.. (2017). A Decision Support System Design to Overcome Resistance towards Sustainable Innovations. Journal of the Association for Information Systems. 2885. 10 indexed citations
7.
Adam, Marc T. P., et al.. (2017). Brownie: A Platform for Conducting NeuroIS Experiments. Journal of the Association for Information Systems. 18(4). 264–296. 20 indexed citations
8.
Knierim, Michael Thomas, et al.. (2017). The Psychophysiology of Flow: A Systematic Review of Peripheral Nervous System Features. 109–120. 31 indexed citations
9.
Dorner, Verena, et al.. (2017). Overcoming Innovation Resistance beyond Status Quo Bias - A Decision Support System Approach (Research-in-Progress). Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
10.
Jung, Dominik, et al.. (2017). A practical guide for human lab experiments in information systems research. Journal of Systems and Information Technology. 19(3/4). 228–256. 2 indexed citations
11.
Both, Fabian, et al.. (2016). A randomized tabu search-based approach for perfect stranger matching in economic experiments. Economics Letters. 145. 235–238. 5 indexed citations
12.
Adam, Marc T. P., et al.. (2015). Brownie: A Platform for Conducting NeuroIS Experiments. Journal of the Association for Information Systems. 5 indexed citations
13.
Scholz, Michael, Verena Dorner, Markus Franz, & Oliver Hinz. (2015). Measuring consumers' willingness to pay with utility-based recommendation systems. Decision Support Systems. 72. 60–71. 36 indexed citations
14.
Scholz, Michael, Franz Lehner, & Verena Dorner. (2014). A Respecification of the DeLone and McLean Model to Measure the Success of an Electronic Mediated Learning Systems. WU Research. 1 indexed citations
15.
Dorner, Verena & Michael Scholz. (2013). Predicting And Economically Exploiting Utility Thresholds With Utility-Based Recommendation Systems. WU Research. 30. 3 indexed citations
16.
Dorner, Verena, et al.. (2013). Leave a Comment! An In-Depth Analysis of User Comments on YouTube. Journal of the Association for Information Systems. 42. 38 indexed citations
17.
Scholz, Michael, Verena Dorner, Andrea Landherr, & Florian Probst. (2013). Awareness, Interest and Final Decision: The Effects of User- and Marketer-Generated Content on Consumers' Purchase Decisions. International Conference on Information Systems. 9 indexed citations
18.
Dorner, Verena, et al.. (2013). Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes. WU Research. 4278. 8 indexed citations
19.
Scholz, Michael, et al.. (2013). Does Amazon Scare Off Customers? The Effect of Negative Spotlight Reviews on Purchase Intention. Journal of the Association for Information Systems. 2. 4 indexed citations
20.
Scholz, Michael & Verena Dorner. (2012). Estimating Optimal Recommendation Set Sizes for Individual Consumers. WU Research. 2440. 4 indexed citations

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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