Wolfgang Jank

2.7k total citations
84 papers, 1.6k citations indexed

About

Wolfgang Jank is a scholar working on Marketing, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Wolfgang Jank has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Marketing, 45 papers in Management Science and Operations Research and 18 papers in Artificial Intelligence. Recurrent topics in Wolfgang Jank's work include Consumer Market Behavior and Pricing (46 papers), Auction Theory and Applications (40 papers) and Statistical Methods and Inference (8 papers). Wolfgang Jank is often cited by papers focused on Consumer Market Behavior and Pricing (46 papers), Auction Theory and Applications (40 papers) and Statistical Methods and Inference (8 papers). Wolfgang Jank collaborates with scholars based in United States, Taiwan and India. Wolfgang Jank's co-authors include Galit Shmueli, Ravi Bapna, Michael O. Ball, Natasha Zhang Foutz, Shanshan Wang, Koray Özpolat, James G. Booth, P.K. Kannan, Brian Caffo and Galin L. Jones and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Wolfgang Jank

80 papers receiving 1.5k citations

Peers

Wolfgang Jank
Comparison fields: 5 of 123
  • Management Science and Operations Research 607
  • Marketing 597
  • Artificial Intelligence 274
  • Economics and Econometrics 259
  • Statistics and Probability 231
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Citations per field, relative to Wolfgang Jank
Wolfgang Jank · 1×
Citations per year, relative to Wolfgang Jank
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Countries citing papers authored by Wolfgang Jank

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Jank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Jank

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Jank. A scholar is included among the top collaborators of Wolfgang Jank 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 Wolfgang Jank. Wolfgang Jank 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
# Work Indexed citations
1 1
2 1
3
Talk your way to serial success: Creator post-campaign interaction in crowdfunding.
0
4
Detection and Classification of Attacks on IoT Networks
1
5 18
6 27
7 20
8 3
9 23
10 5
11 47
12 38
13 1
14
Studying heterogeneity of price evolution in ebay auctions via functional clustering
3
15 8
16 14
17 8
18 19
19 48
20 9

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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