Erich Teppan

972 citations
53 papers · 733 · h-index 14

Impact in

Papers in

Erich Teppan

48 papers receiving 685 citations

Peers

Erich Teppan
Comparison fields: 5 of 54
  • General Decision Sciences 72
  • Information Systems 323
  • Marketing 93
  • Industrial and Manufacturing Engineering 103
  • Artificial Intelligence 317
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Citations per year

Countries citing papers authored by Erich Teppan

Since Specialization
Citations

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

Fields of papers citing papers by Erich Teppan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Erich Teppan, 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 Erich Teppan Line = papers co-authored together Erich Teppan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 200966
3
A Short Survey of Recommendation Technologies in Travel and Tourism
200764
4 200758
5 201854
6 200743
7 200836
8 200934
9 202232
10 201525
11 201922
12 200720
13 201219
14 200818
15
A Dominance Model for the Calculation of Decoy Products in Recommendation Environments
200813
16 200912
17 200912
18 201211
19
Decoy Effects in Financial Service E‐Sales Systems
20118
20 20098

About Erich Teppan

Erich Teppan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and General Decision Sciences, having authored 53 papers that have together received 733 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (15 papers), Recommender Systems and Techniques (14 papers), Scheduling and Optimization Algorithms (12 papers), Logic, Reasoning, and Knowledge (9 papers), Advanced Text Analysis Techniques (8 papers), Semantic Web and Ontologies (8 papers), Decision-Making and Behavioral Economics (8 papers) and AI-based Problem Solving and Planning (6 papers). The work is most often cited by research in General Decision Sciences (72 citations), Information Systems (323 citations), Marketing (93 citations), Industrial and Manufacturing Engineering (103 citations) and Artificial Intelligence (317 citations). Erich Teppan has collaborated with scholars based in Austria, China and Italy. Frequent co-authors include Alexander Felfernig, Gerhard Friedrich, Monika Mandl, Monika Schubert, Bartosz Gula, Markus Zanker, Dietmar Jannach, Andreas Falkner, Gerhard Leitner and Konstantin Schekotihin. Their work appears in journals such as Artificial Intelligence, Journal of Internet Commerce, Operations Research Perspectives, Applied Intelligence and Journal of Intelligent Information Systems.

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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