Alexander Lahmann
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
- Accounting 14
- Corporate Finance and Governance 10
- Corporate Taxation and Avoidance 5
- Private Equity and Venture Capital 4
- Auditing, Earnings Management, Governance 3
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- Financial Reporting and Valuation Research 9
- Co-authors
- Dominik K. Kanbach (1 shared paper)Bernhard Schwetzler (6 shared papers)Vivek K. Velamuri (1 shared paper)Sven Arnold (3 shared papers)Michael Schmidt (1 shared paper)Daniel Hoang (1 shared paper)
In The Last Decade
Alexander Lahmann
16 papers receiving 229 citations
Alexander Lahmann's Hit Papers
Peers
Comparison fields: 5 of 60
- Health Informatics 26
- Management Information Systems 54
- Accounting 42
- Strategy and Management 52
- Information Systems and Management 23
Countries citing papers authored by Alexander Lahmann
This map shows the geographic impact of Alexander Lahmann'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 Alexander Lahmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Lahmann more than expected).
Fields of papers citing papers by Alexander Lahmann
This network shows the impact of papers produced by Alexander Lahmann. 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 Alexander Lahmann. The network helps show where Alexander Lahmann may publish in the future.
Co-authors
The 6 scholars most cited alongside Alexander Lahmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective Hit paper breakdown → | 2023 | 196 |
| 2 | 2015 | 10 | |
| 3 | 2017 | 8 | |
| 4 | 2017 | 7 | |
| 5 | 2018 | 5 | |
| 6 | 2014 | 4 | |
| 7 | 2016 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2013 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2016 | 1 | |
| 13 | Country Risk – Cost of Equity Measurement: Methodologies and Implications | 2017 | 1 |
| 14 | 2012 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 1 |
About Alexander Lahmann
Alexander Lahmann is a scholar working on Accounting, Strategy and Management, Finance, Economics and Econometrics and Management Information Systems, having authored 16 papers that have together received 244 indexed citations. Recurring topics across this work include Corporate Finance and Governance (10 papers), Financial Reporting and Valuation Research (9 papers), Corporate Taxation and Avoidance (5 papers), Private Equity and Venture Capital (4 papers), Auditing, Earnings Management, Governance (3 papers), Financial Markets and Investment Strategies (2 papers), Capital Investment and Risk Analysis (2 papers) and Climate Change Policy and Economics (1 paper). The work is most often cited by research in Health Informatics (26 citations), Management Information Systems (54 citations), Accounting (42 citations), Strategy and Management (52 citations) and Information Systems and Management (23 citations). Alexander Lahmann has collaborated with scholars based in Germany, Australia and India. Frequent co-authors include Dominik K. Kanbach, Bernhard Schwetzler, Vivek K. Velamuri, Sven Arnold, Michael Schmidt and Daniel Hoang. Their work appears in journals such as Review of Managerial Science, Annals of Public and Cooperative Economics, Finance research letters, Journal of Business Economics and The Quarterly Review of Economics and Finance.
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.