Erich Teppan

961 citations
33 papers · 383 indexed · h-index 11
Topics
Recommender Systems and Techniques (10 papers)Constraint Satisfaction and Optimization (8 papers)Scheduling and Optimization Algorithms (7 papers)

In The Last Decade

Erich Teppan

30 papers receiving 353 citations

Peers

Erich Teppan
Comparison fields: 5 of 50
  • Information Systems 167
  • Artificial Intelligence 157
  • Computer Networks and Communications 61
  • Management Science and Operations Research 58
  • Marketing 56
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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-authorship network of co-authors of Erich Teppan

This figure shows the co-authorship network connecting the top 25 collaborators of Erich Teppan. A scholar is included among the top collaborators of Erich Teppan 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 Erich Teppan. Erich Teppan 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
#WorkIndexed citations
1 38
2 2
3 4
4
Solving the Partner Units Configuration Problem with Heuristic Constraint Answer Set Programming
4
5 1
6
Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations
1
7 8
8 12
9
Decoy Effects in Financial Service E‐Sales Systems
5
10 4
11
DER ASYMMETRISCHE DOMINANZEFFEKT UND SEINE BEDEUTUNG FÜR E-TOURISMUS PLATTFORMEN
2
12 40
13 7
14 10
15 5
16
A Dominance Model for the Calculation of Decoy Products in Recommendation Environments
10
17
Automated Debugging and Repair of Utility Constraints in Recommender Knowledge Bases
0
18 17
19
A Short Survey of Recommendation Technologies in Travel and Tourism
53
20 29

About Erich Teppan

Erich Teppan is a scholar working on General Decision Sciences, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 33 papers that have together received 383 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Constraint Satisfaction and Optimization (8 papers) and Scheduling and Optimization Algorithms (7 papers). The work is most often cited by research in General Decision Sciences (47 citations), Information Systems (167 citations) and Marketing (56 citations). Erich Teppan has collaborated with scholars based in Austria, China and United Kingdom. Frequent co-authors include Alexander Felfernig, Gerhard Friedrich, Monika Schubert, Monika Mandl, Markus Zanker, Dietmar Jannach, Bartosz Gula, Andreas Falkner, Konstantin Schekotihin and Kostyantyn Shchekotykhin. Their work appears in journals such as Artificial Intelligence, Journal of Computer and System Sciences and Applied Intelligence.

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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