Dirk Deichmann

24 papers receiving 415 citations

Peers

Dirk Deichmann
Comparison fields: 5 of 66
  • Computer Science Applications 52
  • Organizational Behavior and Human Resource Management 120
  • Strategy and Management 131
  • Management of Technology and Innovation 57
  • Communication 47
Replace Thorsten Grohsjean with:
Thorsten Grohsjean Germany
Zeynep Erden Switzerland
Minhyung Kang South Korea
Delio Ignacio Castañeda Zapata Colombia
Björn-Tore Flåten Norway
Jean‐Philippe Bootz France
Preeta M. Banerjee United States
Vikas Gupta India
Mats Edenius Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Dirk Deichmann

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Deichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Dirk Deichmann, 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 Dirk Deichmann Line = papers co-authored together Dirk Deichmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201395
3 202033
4 201731
5 201926
6 202122
7 202020
8 202320
9 202016
10 202211
11 20209
12 20229
13 20124
14
Open Innovation Generates Great Ideas, So Why Aren’t Companies Adopting Them?
20174
15
A new model for crowdsourcing innovation
20204
16 20244
17 20133
18 20223
19 20243
20
A radical approach to radical innovation
20141

About Dirk Deichmann

Dirk Deichmann is a scholar working on Strategy and Management, Management of Technology and Innovation, Computer Science Applications, Organizational Behavior and Human Resource Management and Communication, having authored 27 papers that have together received 435 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (9 papers), Entrepreneurship Studies and Influences (5 papers), Management and Organizational Studies (4 papers), Open Source Software Innovations (4 papers), Knowledge Management and Sharing (3 papers), Design Education and Practice (2 papers), scientometrics and bibliometrics research (2 papers) and Patient Satisfaction in Healthcare (2 papers). The work is most often cited by research in Computer Science Applications (52 citations), Organizational Behavior and Human Resource Management (120 citations), Strategy and Management (131 citations), Management of Technology and Innovation (57 citations) and Communication (47 citations). Dirk Deichmann has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Daan Alexander Stam, Jan van den Ende, Christine Möser, Michael C. Jensen, Samer Abdelnour, Markus Baer, Thomas Gillier, Shenghui Wang, Simone Ferriani and Brayden G King. Their work appears in journals such as Research Policy, Harvard business review, Innovation, Journal of Management and European Management Review.

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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