Tobias Keim
- Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Organizational Behavior and Human Resource Management top 10%
- Sociology and Political Science
- Topics
- Team Dynamics and Performance (3 papers)Recommender Systems and Techniques (3 papers)Knowledge Management and Sharing (2 papers)
- Cited by
- Information SystemsManagement Science and Operations ResearchOrganizational Behavior and Human Resource Management
- Journals
- Decision Support SystemsJournal of the Association for Information SystemsWIRTSCHAFTSINFORMATIK
- Partner nations
- Germany
In The Last Decade
Tobias Keim
10 papers receiving 260 citations
Peers
Comparison fields: 5 of 46
- Information Systems 169
- Artificial Intelligence 91
- Management Science and Operations Research 71
- Organizational Behavior and Human Resource Management 58
- Sociology and Political Science 33
Countries citing papers authored by Tobias Keim
This map shows the geographic impact of Tobias Keim'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 Tobias Keim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Keim more than expected).
Fields of papers citing papers by Tobias Keim
This network shows the impact of papers produced by Tobias Keim. 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 Tobias Keim. The network helps show where Tobias Keim may publish in the future.
Co-authorship network of co-authors of Tobias Keim
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Keim. A scholar is included among the top collaborators of Tobias Keim 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 Tobias Keim. Tobias Keim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DOES IT MATTER IN RECRUITING?” – EINE LÄNDERÜBERGREIFENDE KAUSALANALYSE | 3 |
| 2 | 59 | |
| 3 | 28 | |
| 4 | Strategies for Hiring IT Professionals: An Empirical Analysis of Employer and Job Seeker Behavior on the IT Labor Market | 15 |
| 5 | 132 | |
| 6 | Analyzing the Impact of IS Support on Recruitment Processes: An E-Recruitment Phase Model | 11 |
| 7 | Bridging the Assimilation Gap: A User Centered Approach to IT Adoption in Corporate HR Processes | 9 |
| 8 | Decision Support for Team Building: Incorporating Trust into a Recommender-Based Approach | 7 |
| 9 | 2 | |
| 10 | An Automated Recommendation Approach to Selection in Personnel Recruitment | 35 |
About Tobias Keim
Tobias Keim is a scholar working on Marketing, Information Systems and Management and Communication, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Team Dynamics and Performance (3 papers), Recommender Systems and Techniques (3 papers) and Knowledge Management and Sharing (2 papers). The work is most often cited by research in Information Systems (169 citations), Management Science and Operations Research (71 citations) and Organizational Behavior and Human Resource Management (58 citations). Tobias Keim has collaborated with scholars based in Germany. Frequent co-authors include Tim Weitzel, Oliver Wendt, Oliver Wendt, Andreas Eckhardt and Sven Laumer. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems and WIRTSCHAFTSINFORMATIK.
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.