David Geiger
Impact in
- Computer Science Applications top 0.5%
- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
- Communication top 5%
- Knowledge Management and Sharing
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 7
- Open Source Software Innovations 6
-
- Knowledge Management and Sharing 3
- Co-authors
- Martin Schader (5 shared papers)Thimo Schulze (3 shared papers)Stefan Seedorf (2 shared papers)Robert C. Nickerson (1 shared paper)Michael Rosemann (3 shared papers)Erwin Fielt (3 shared papers)Nicolas Kaufmann (1 shared paper)Axel Korthaus (1 shared paper)
- Journals
- Journal of the Association for Information Systems (3 papers)Decision Support Systems (1 paper)Pacific Journal of Mathematics (1 paper)European Journal of Biochemistry (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
David Geiger
9 papers receiving 564 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 374
- Communication 96
- Computational Theory and Mathematics 125
- Management Science and Operations Research 78
- Information Systems and Management 41
Countries citing papers authored by David Geiger
This map shows the geographic impact of David Geiger'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 David Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Geiger more than expected).
Fields of papers citing papers by David Geiger
This network shows the impact of papers produced by David Geiger. 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 David Geiger. The network helps show where David Geiger may publish in the future.
Co-authors
The 9 scholars most cited alongside David Geiger, 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 | Managing the Crowd: Towards a Taxonomy of Crowdsourcing Processes | 2011 | 173 |
| 2 | 2014 | 146 | |
| 3 | 1968 | 145 | |
| 4 | 2011 | 47 | |
| 5 | Crowdsourcing Information Systems - Definition, Typology, and Design | 2012 | 46 |
| 6 | 2011 | 36 | |
| 7 | Idea Assessment in Open Innovation: A State of Practice | 2012 | 21 |
| 8 | 2015 | 9 | |
| 9 | CROWDSOURCING INFORMATION SYSTEMS - DEFINITION, TYPOLOGY, AND DESIGN Research-in-Progress | 2012 | 1 |
About David Geiger
David Geiger is a scholar working on Computer Science Applications, Communication, Information Systems, Information Systems and Management and Computational Theory and Mathematics, having authored 9 papers that have together received 624 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (7 papers), Open Source Software Innovations (6 papers), Knowledge Management and Sharing (3 papers), Expert finding and Q&A systems (2 papers), Software Engineering Research (1 paper), Technology Adoption and User Behaviour (1 paper), Advanced Algebra and Logic (1 paper) and Auction Theory and Applications (1 paper). The work is most often cited by research in Computer Science Applications (374 citations), Communication (96 citations), Computational Theory and Mathematics (125 citations), Management Science and Operations Research (78 citations) and Information Systems and Management (41 citations). David Geiger has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Martin Schader, Thimo Schulze, Stefan Seedorf, Robert C. Nickerson, Michael Rosemann, Erwin Fielt, Nicolas Kaufmann, Axel Korthaus and Marta Indulska. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Pacific Journal of Mathematics, European Journal of Biochemistry and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.