Peter Buxmann

5.7k total citations · 1 hit paper
153 papers, 3.0k citations indexed

About

Peter Buxmann is a scholar working on Strategy and Management, Management Information Systems and Sociology and Political Science. According to data from OpenAlex, Peter Buxmann has authored 153 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Strategy and Management, 41 papers in Management Information Systems and 35 papers in Sociology and Political Science. Recurrent topics in Peter Buxmann's work include Digital Platforms and Economics (31 papers), Digital Innovation in Industries (24 papers) and Corporate Governance and Management (18 papers). Peter Buxmann is often cited by papers focused on Digital Platforms and Economics (31 papers), Digital Innovation in Industries (24 papers) and Corporate Governance and Management (18 papers). Peter Buxmann collaborates with scholars based in Germany, Switzerland and United States. Peter Buxmann's co-authors include Hanna Krasnova, Thomas Heß, Thomas Widjaja, Alexander Benlian, Helena Wenninger, Sonja Lehmann, Jin Gerlach, Nicole Eling, Christian Schmidt and Martin Kowalczyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, MIS Quarterly and Journal of Medical Internet Research.

In The Last Decade

Peter Buxmann

145 papers receiving 2.8k citations

Hit Papers

Research Note—Why Followi... 2015 2026 2018 2022 2015 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Buxmann 1.1k 840 645 560 469 153 3.0k
Rolf T. Wigand 1.0k 1.0× 515 0.6× 775 1.2× 502 0.9× 743 1.6× 139 3.6k
Andrew P. McAfee 839 0.8× 812 1.0× 732 1.1× 379 0.7× 479 1.0× 37 3.5k
Gerhard Schwabe 843 0.8× 709 0.8× 410 0.6× 1.2k 2.1× 438 0.9× 218 3.5k
Frantz Rowe 739 0.7× 866 1.0× 640 1.0× 509 0.9× 347 0.7× 119 2.5k
Ulrike Schultze 1.2k 1.2× 503 0.6× 699 1.1× 281 0.5× 417 0.9× 67 3.0k
Ki-Chan Nam 1.3k 1.2× 999 1.2× 508 0.8× 480 0.9× 732 1.6× 78 3.3k
Saonee Sarker 1.2k 1.1× 880 1.0× 832 1.3× 625 1.1× 905 1.9× 100 4.0k
Rajeev Sharma 631 0.6× 1.3k 1.6× 863 1.3× 306 0.5× 660 1.4× 88 3.5k
Maris G. Martinsons 913 0.9× 1.2k 1.4× 806 1.2× 417 0.7× 719 1.5× 84 3.4k
Nicholas Berente 670 0.6× 651 0.8× 758 1.2× 312 0.6× 231 0.5× 121 2.5k

Countries citing papers authored by Peter Buxmann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Buxmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Buxmann

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Buxmann. A scholar is included among the top collaborators of Peter Buxmann 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 Peter Buxmann. Peter Buxmann 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
1.
Gerlach, Jin, et al.. (2023). Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization. The Journal of Strategic Information Systems. 32(4). 101790–101790. 17 indexed citations
2.
Nan, Ning, et al.. (2021). Coordinating Human and Machine Learning for Effective \nOrganizational Learning. TUbilio (Technical University of Darmstadt). 76 indexed citations
3.
Buxmann, Peter, et al.. (2021). Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study. Journal of Medical Internet Research. 23(10). e29301–e29301. 32 indexed citations
4.
Buxmann, Peter, et al.. (2020). Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems. Journal of the Association for Information Systems. 4 indexed citations
5.
Gerlach, Jin, et al.. (2019). Investigating the Security Divide between SME and Large Companies: How SME Characteristics Influence Organizational IT Security Investments. Information Systems Frontiers. 21(6). 1285–1305. 60 indexed citations
6.
Krasnova, Hanna, et al.. (2019). Keeping Up with the Joneses: Instagram Use and its Influence on Conspicuous Consumption. Journal of the Association for Information Systems. 11 indexed citations
7.
Abramova, Olga, et al.. (2018). When You Share, You Should Care: Examining the Role of Perspective-Taking on Social Networking Sites. Journal of the Association for Information Systems. 2 indexed citations
8.
Gerlach, Jin, et al.. (2017). ANALYSING EMPLOYEES’ WILLINGNESS TO DISCLOSE INFORMATION IN ENTERPRISE SOCIAL NETWORKS: THE ROLE OF ORGANISATIONAL CULTURE. European Conference on Information Systems. 2119. 2 indexed citations
9.
Buxmann, Peter, et al.. (2017). When Risk Perceptions Are Nothing but Guesses – An Evaluability Perspective on Privacy Risks. Journal of the Association for Information Systems. 2 indexed citations
10.
Widjaja, Thomas, et al.. (2016). Calculating with Different Goals in Mind - The Moderating Role of the Regulatory Focus in the Privacy Calculus. RePEc: Research Papers in Economics. 4 indexed citations
11.
Widjaja, Thomas, et al.. (2014). Perceived IT security risks in cloud adoption: the role of perceptual incongruence between users and providers. Journal of the Association for Information Systems. 7 indexed citations
12.
Veit, Daniel, Eric K. Clemons, Alexander Benlian, et al.. (2014). Business Models – an Information Systems Research Agenda. Journal of the Association for Information Systems. 25 indexed citations
13.
Buxmann, Peter, et al.. (2012). Performance of Business Models: Empirical Insights from the Software Industry. RePEc: Research Papers in Economics. 83. 3 indexed citations
14.
Buxmann, Peter, et al.. (2012). IT project portfolio management – a structured literature review. Journal of the Association for Information Systems. 167. 11 indexed citations
15.
Buxmann, Peter, et al.. (2011). THE IMPORTANCE OF GOVERNANCE STRUCTURES IN IT PROJECT PORTFOLIO MANAGEMENT. RePEc: Research Papers in Economics. 17. 4 indexed citations
16.
Benlian, Alexander, Thomas Heß, & Peter Buxmann. (2010). Software-as-a-Service : Anbieterstrategien, Kundenbedürfnisse und Wertschöpfungsstrukturen. TUbilio (Technical University of Darmstadt). 7 indexed citations
17.
Buxmann, Peter, et al.. (2004). Musik online: Herausforderungen und Strategien für die Musikindustrie. TUbilio (Technical University of Darmstadt). 1 indexed citations
18.
Buxmann, Peter, et al.. (2003). Economic evaluation of cooperation in supply chains. Universitätsbibliographie, Universität Duisburg-Essen. 4 indexed citations
19.
Buxmann, Peter, et al.. (2001). Anwendung der Extensible Markup Language (XML) : Konzeption und Entwicklung einer WebEDI-Lösung. Publications of Darmstadt Technical University, Institute for Business Studies (BWL).
20.
Weitzel, Tim, et al.. (1999). The Status Quo and The Future Of EDI - Results Of An Empirical Study.. European Conference on Information Systems. 719–731. 20 indexed citations

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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