Michael Siering

26 papers receiving 2.2k citations

Michael Siering's Hit Papers

Explaining and predicting online review helpfulness: The role of content and reviewer-related signals 2018 · 238 citations
2380+4+8Years since publication2505007501000

Peers

Michael Siering
Comparison fields: 5 of 79
  • Management Information Systems 1.0k
  • Information Systems and Management 265
  • Marketing 337
  • Information Systems 844
  • Economics and Econometrics 897
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Bruce W. Weber United States
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Othmar Manfred Lehner Finland
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Countries citing papers authored by Michael Siering

Since Specialization
Citations

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

Fields of papers citing papers by Michael Siering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Michael Siering, 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 Michael Siering Line = papers co-authored together Michael Siering links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital Finance and FinTech: current research and future research directions
Hit paper breakdown →
20171118
2
BITCOIN - ASSET OR CURRENCY? REVEALING USERS' HIDDEN INTENTIONS
Hit paper breakdown →
2014315
3
Explaining and predicting online review helpfulness: The role of content and reviewer-related signals
Hit paper breakdown →
2018238
4 2018172
5 2016142
6 201975
7 201743
8 201937
9
What Drives the Helpfulness of Online Product Reviews? From Stars to Facts and Emotions
201335
10 202224
11 201219
12 202019
13 201818
14 202115
15 202014
16 201413
17 201312
18 20199
19
How to Identify Tomorrow's Most Active Social Commerce Contributors? Inviting Starlets to the Reviewer Hall of Fame
20138
20 20236

About Michael Siering

Michael Siering is a scholar working on Finance, Management Science and Operations Research, Information Systems, Sociology and Political Science and Information Systems and Management, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (9 papers), Financial Markets and Investment Strategies (8 papers), Stock Market Forecasting Methods (6 papers), Technology Adoption and User Behaviour (4 papers), Spam and Phishing Detection (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Complex Systems and Time Series Analysis (3 papers) and Knowledge Management and Sharing (3 papers). The work is most often cited by research in Management Information Systems (1.0k citations), Information Systems and Management (265 citations), Marketing (337 citations), Information Systems (844 citations) and Economics and Econometrics (897 citations). Michael Siering has collaborated with scholars based in Germany, Slovenia and United States. Frequent co-authors include Jascha-Alexander Koch, Peter Gomber, Jan Muntermann, Amit V. Deokar, Balaji Rajagopalan, Martin Haferkorn, Florian Glaser, Moritz Christian Weber, Kai Zimmermann and Benjamin Clapham. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Journal of Management Information Systems, Information Systems Journal and Electronic Markets.

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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