Markus Glaser

2.3k citations
44 papers · 1.4k · h-index 18

Impact in

Papers in

    • Financial Markets and Investment Strategies 22
    • Corporate Finance and Governance 13
    • Financial Literacy, Pension, Retirement Analysis 7

Markus Glaser

42 papers receiving 1.2k citations

Peers

Markus Glaser
Comparison fields: 5 of 111
  • General Decision Sciences 262
  • Finance 689
  • Accounting 509
  • Communication 153
  • Economics and Econometrics 490
Replace Boris Maciejovsky with:
Boris Maciejovsky United States
William F. Wright United States
Douglas V. DeJong United States
Nobuyuki Hanaki Japan
Miguel A. Fonseca United Kingdom
Robin Cubitt United Kingdom
Jörg Oechssler Germany
Roman M. Sheremeta United States
Theo Offerman Netherlands
Sheen S. Levine United States
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Citations per field
00.5×3.7×
Boris Maciejovsky · 1×
Citations per year

Countries citing papers authored by Markus Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Markus Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007480
2
Wiki: Web Collaboration
2005185
3 201282
4 200264
5 200757
6 201045
7 201943
8 200540
9 200830
10 200326
11 201222
12 200322
13 201121
14 200420
15 201617
16 200217
17 201117
18 200517
19 201615
20 200914

About Markus Glaser

Markus Glaser is a scholar working on Finance, Accounting, Economics and Econometrics, General Decision Sciences and Communication, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (22 papers), Corporate Finance and Governance (13 papers), Decision-Making and Behavioral Economics (10 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), Wikis in Education and Collaboration (6 papers), Financial Reporting and Valuation Research (5 papers), Market Dynamics and Volatility (4 papers) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in General Decision Sciences (262 citations), Finance (689 citations), Accounting (509 citations), Communication (153 citations) and Economics and Econometrics (490 citations). Markus Glaser has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Martin Weber, Thomas Langer, Sebastian Müller, Frédéric Tripet, Heinz Richner, Zacharias Sautner, Florencio López de Silanes, Alexander Klos, Jan Riepe and Alen Nosić. Their work appears in journals such as Creativity and Innovation Management, Computers & Industrial Engineering, Ibis, Journal of Financial Markets and Journal of Behavioral Decision Making.

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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