David Geiger

1.0k total citations
9 papers, 624 citations indexed

About

David Geiger is a scholar working on Computer Science Applications, Communication and Information Systems. According to data from OpenAlex, David Geiger has authored 9 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 3 papers in Communication and 3 papers in Information Systems. Recurrent topics in David Geiger's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Open Source Software Innovations (6 papers) and Knowledge Management and Sharing (3 papers). David Geiger is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Open Source Software Innovations (6 papers) and Knowledge Management and Sharing (3 papers). David Geiger collaborates with scholars based in Germany, Australia and United States. David Geiger's co-authors include Martin Schader, Thimo Schulze, Stefan Seedorf, Robert C. Nickerson, Michael Rosemann, Erwin Fielt, Nicolas Kaufmann, Marta Indulska and Axel Korthaus and has published in prestigious journals such as European Journal of Biochemistry, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

David Geiger

9 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Geiger Germany	8	374	125	96	92	86	9	624
Han Reichgelt United States	15	182 0.5×	55 0.4×	46 0.5×	244 2.7×	71 0.8×	96	828
Heimo H. Adelsberger Germany	10	108 0.3×	30 0.2×	32 0.3×	108 1.2×	25 0.3×	23	587
Bjørnar Tessem Norway	14	76 0.2×	26 0.2×	65 0.7×	171 1.9×	85 1.0×	36	569
Ya Xu United States	11	137 0.4×	27 0.2×	21 0.2×	222 2.4×	71 0.8×	16	843
W. Richards Adrion United States	10	151 0.4×	41 0.3×	16 0.2×	131 1.4×	57 0.7×	35	632
Gordon McCalla Canada	11	227 0.6×	28 0.2×	80 0.8×	281 3.1×	60 0.7×	34	613
Alain Mille France	10	60 0.2×	32 0.3×	56 0.6×	332 3.6×	113 1.3×	44	710
José Emilio Labra Gayo Spain	15	60 0.2×	40 0.3×	40 0.4×	404 4.4×	68 0.8×	93	757
Leonor Barroca United Kingdom	13	82 0.2×	51 0.4×	24 0.3×	144 1.6×	39 0.5×	53	573
Yu-Lung Wu Taiwan	15	58 0.2×	154 1.2×	39 0.4×	240 2.6×	169 2.0×	56	750

Countries citing papers authored by David Geiger

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Geiger

This figure shows the co-authorship network connecting the top 25 collaborators of David Geiger. A scholar is included among the top collaborators of David Geiger 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 David Geiger. David Geiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Geiger, David. (2015). Personalized Task Recommendation in Crowdsourcing Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 9 indexed citations

2.

Geiger, David & Martin Schader. (2014). Personalized task recommendation in crowdsourcing information systems — Current state of the art. Decision Support Systems. 65. 3–16. 146 indexed citations

3.

Geiger, David, Michael Rosemann, Erwin Fielt, & Martin Schader. (2012). Crowdsourcing Information Systems - Definition, Typology, and Design. MADOC (University of Mannheim). 46 indexed citations

4.

Schulze, Thimo, Marta Indulska, David Geiger, & Axel Korthaus. (2012). Idea Assessment in Open Innovation: A State of Practice. Journal of the Association for Information Systems. 149. 149. 21 indexed citations

5.

Geiger, David, Michael Rosemann, Erwin Fielt, & Martin Schader. (2012). CROWDSOURCING INFORMATION SYSTEMS - DEFINITION, TYPOLOGY, AND DESIGN Research-in-Progress. 1 indexed citations

6.

Geiger, David, Michael Rosemann, & Erwin Fielt. (2011). Crowdsourcing Information Systems - A Systems Theory Perspective. European Journal of Biochemistry. 257(1). 154–9. 47 indexed citations

7.

Schulze, Thimo, Stefan Seedorf, David Geiger, Nicolas Kaufmann, & Martin Schader. (2011). EXPLORING TASK PROPERTIES IN CROWDSOURCING – AN EMPIRICAL STUDY ON MECHANICAL TURK. Journal of the Association for Information Systems. 17(3). 122–1617. 36 indexed citations

8.

Geiger, David, Stefan Seedorf, Thimo Schulze, Robert C. Nickerson, & Martin Schader. (2011). Managing the Crowd: Towards a Taxonomy of Crowdsourcing Processes. Journal of the Association for Information Systems. 173 indexed citations

9.

Geiger, David. (1968). Closed systems of functions and predicates. Pacific Journal of Mathematics. 27(1). 95–100. 145 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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