Daniel J Veit

137 papers receiving 3.1k citations

Daniel J Veit's Hit Papers

More than fun and money. Worker motivation in crowdsourcing - a study on mechanical turk 2011 · 354 citations
3540+5+10Years since publication100200300

Peers

Daniel J Veit
Comparison fields: 5 of 150
  • Marketing 516
  • Computer Science Applications 321
  • Information Systems and Management 373
  • Management Information Systems 342
  • Management Science and Operations Research 347
Replace Alan David Smith with:
Alan David Smith United States
Manoj Abraham Thomas United States
Xiaodong Deng China
Michael R. Wade Canada
Andrej Mrvar Slovenia
Christine Bauer Austria
George Lăzăroiu Romania
James T. C. Teng United States
Richard J. Adams United Kingdom
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Citations per year

Countries citing papers authored by Daniel J Veit

Since Specialization
Citations

This map shows the geographic impact of Daniel J 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 J 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 J Veit more than expected).

Fields of papers citing papers by Daniel J Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J 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 J Veit Line = papers co-authored together Daniel J Veit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 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 →
2011354
2 2014277
3 2008265
4 2017175
5 2019144
6 2014128
7 2014103
8 2006101
9 201786
10 201271
11 201866
12 201363
13 202059
14 201552
15 200951
16 201748
17 201845
18 201344
19 202140
20 200638

About Daniel J Veit

Daniel J Veit is a scholar working on Information Systems and Management, Management Science and Operations Research, Marketing, Strategy and Management and Management Information Systems, having authored 146 papers that have together received 3.3k indexed citations. Recurring topics across this work include Auction Theory and Applications (22 papers), Technology Adoption and User Behaviour (19 papers), E-Government and Public Services (18 papers), Privacy, Security, and Data Protection (14 papers), Digital Platforms and Economics (12 papers), Digital Marketing and Social Media (10 papers), Electric Power System Optimization (10 papers) and Distributed and Parallel Computing Systems (10 papers). The work is most often cited by research in Marketing (516 citations), Computer Science Applications (321 citations), Information Systems and Management (373 citations), Management Information Systems (342 citations) and Management Science and Operations Research (347 citations). Daniel J 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, Meredith Christine Schuman and Jonathan Gershenzon. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Business Economics, Journal of Chemical Ecology, Frontiers in Plant Science and Nature Communications.

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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