Markus Lang

1.2k citations
57 papers · 644 · h-index 14

Impact in

Papers in

Markus Lang

52 papers receiving 605 citations

Peers

Markus Lang
Comparison fields: 5 of 46
  • Economics and Econometrics 443
  • Strategy and Management 92
  • Management Information Systems 32
  • Gender Studies 29
  • Management Science and Operations Research 37
Replace Nurulizwa Rashid with:
Nurulizwa Rashid Malaysia
Steffen H. Brenner Germany
Luqun Xie China
Jaebeom Kim United States
Shinichi Kamiya Singapore
Carlos G. Benavides Chicón Spain
O. Felix Ayadi United States
Diana Suárez Argentina
Sujana Shafique United Kingdom
Jérôme Caby France
Markus Lang relative to Nurulizwa Rashid Malaysia Nurulizwa Rashid's profile →
Citations per field
00.5×5×11.3×
Nurulizwa Rashid · 1×
Citations per year

Countries citing papers authored by Markus Lang

Since Specialization
Citations

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

Fields of papers citing papers by Markus Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Markus Lang, 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 Markus Lang Line = papers co-authored together Markus Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200885
2 201153
3 201452
4 201041
5 200938
6 201437
7 201133
8 202128
9 201024
10 200821
11 201321
12 201120
13 201218
14 201318
15 200914
16 202013
17 201010
18 20109
19 20159
20 20088

About Markus Lang

Markus Lang is a scholar working on Economics and Econometrics, Strategy and Management, Gender Studies, Management Information Systems and Sociology and Political Science, having authored 57 papers that have together received 644 indexed citations. Recurring topics across this work include Sports Analytics and Performance (37 papers), Physical Education and Sports Studies (6 papers), Merger and Competition Analysis (5 papers), Sports, Gender, and Society (5 papers), Sport and Mega-Event Impacts (4 papers), Auction Theory and Applications (3 papers), Transport and Economic Policies (3 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Economics and Econometrics (443 citations), Strategy and Management (92 citations), Management Information Systems (32 citations), Gender Studies (29 citations) and Management Science and Operations Research (37 citations). Markus Lang has collaborated with scholars based in Switzerland, Germany and China. Frequent co-authors include Helmut Dietl, Egon P. Franck, Martin Grossmann, Patricia Deflorin, Bernd Frick, Maike Scherrer, Thomas J. Keil, Matthias Finger, Dirk Martignoni and Babatunde Buraimo. Their work appears in journals such as International Journal of Sport Finance, Journal of Sports Economics, Scottish Journal of Political Economy, European Sport Management Quarterly and European Journal of Law and Economics.

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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