Daniel Veit

146 papers receiving 3.1k citations

Daniel Veit's Hit Papers

More than fun and money. Worker motivation in crowdsourcing - a study on mechanical turk 2011 · 358 citations
3580+5+10Years since publication100200300

Peers

Daniel Veit
Comparison fields: 5 of 145
  • Marketing 541
  • Computer Science Applications 323
  • Information Systems and Management 382
  • Management Information Systems 366
  • Management Science and Operations Research 366
Replace Ping Wang with:
Ping Wang China
Alan D. Smith United States
Mark A. Fuller United States
Manoj A. Thomas United States
Michael Wade Canada
Adrian Friday United Kingdom
Xiaodong Deng China
Florian Schuberth Netherlands
Christine Bauer Austria
George Lăzăroiu Romania
Daniel Veit relative to Ping Wang China Ping Wang's profile →
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Citations per year

Countries citing papers authored by Daniel Veit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Veit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Veit Line = papers co-authored together Daniel Veit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
More than fun and money. Worker motivation in crowdsourcing - a study on mechanical turk
Hit paper breakdown →
2011358
2 2014281
3 2008275
4 2017171
5 2019138
6 2014123
7 2006104
8 2014100
9 201788
10 201865
11 201364
12 202059
13 200957
14 201551
15 201748
16 201845
17 201344
18 200641
19 202138
20 200138

About Daniel Veit

Daniel Veit is a scholar working on Sociology and Political Science, Management Science and Operations Research, Strategy and Management, Political Science and International Relations and Information Systems and Management, having authored 153 papers that have together received 3.3k indexed citations. Recurring topics across this work include Auction Theory and Applications (24 papers), Technology Adoption and User Behaviour (19 papers), E-Government and Public Services (17 papers), Privacy, Security, and Data Protection (15 papers), Digital Platforms and Economics (14 papers), Electric Power System Optimization (12 papers), Digital Marketing and Social Media (10 papers) and Distributed and Parallel Computing Systems (10 papers). The work is most often cited by research in Marketing (541 citations), Computer Science Applications (323 citations), Information Systems and Management (382 citations), Management Information Systems (366 citations) and Management Science and Operations Research (366 citations). Daniel Veit has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Anke Weidlich, Manuel Trenz, Thimo Schulze, Nicolas Kaufmann, Saonee Sarker, Dennis M. Steininger, Christof Weinhardt, Alexander Frey, Eric K. Clemons and Dennis Kundisch. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Business Economics, Journal of Chemical Ecology, Information Systems Journal and Frontiers in Plant Science.

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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