Daniel Nepelski
Impact in
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- Big Data and Business Intelligence
- Strategy and Management top 5%
- Innovation and Knowledge Management
- Competitive and Knowledge Intelligence
Papers in
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- Innovation Policy and R&D 10
- Economic and Technological Innovation 4
- Firm Innovation and Growth 4
- Economic Growth and Productivity 3
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- Innovation and Knowledge Management 12
- Co-authors
- Giuditta De Prato (13 shared papers)Ashley Braganza (1 shared paper)Laurence Brooks (1 shared paper)Maged Ali (1 shared paper)Vincent Van Roy (3 shared papers)Annarosa Pesole (1 shared paper)James A. Cunningham (1 shared paper)Daire Hooper (1 shared paper)
In The Last Decade
Daniel Nepelski
24 papers receiving 521 citations
Peers
Comparison fields: 5 of 62
- Management Information Systems 170
- Strategy and Management 268
- Management of Technology and Innovation 117
- Business and International Management 26
- Economics and Econometrics 200
Countries citing papers authored by Daniel Nepelski
This map shows the geographic impact of Daniel Nepelski'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 Nepelski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nepelski more than expected).
Fields of papers citing papers by Daniel Nepelski
This network shows the impact of papers produced by Daniel Nepelski. 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 Nepelski. The network helps show where Daniel Nepelski may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Nepelski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 246 | |
| 2 | 2012 | 76 | |
| 3 | 2017 | 31 | |
| 4 | 2014 | 31 | |
| 5 | 2017 | 30 | |
| 6 | 2018 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2012 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2019 | 5 | |
| 14 | ASSESSING THE FUTURE COMPETITIVENESS OF THE EU VIDEO GAMES SOFTWARE INDUSTRY | 2010 | 5 |
| 15 | 2020 | 4 | |
| 16 | 2011 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 3 |
About Daniel Nepelski
Daniel Nepelski is a scholar working on Economics and Econometrics, Strategy and Management, Management of Technology and Innovation, Political Science and International Relations and Business and International Management, having authored 27 papers that have together received 551 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (12 papers), Innovation Policy and R&D (10 papers), Regional Development and Policy (5 papers), Economic and Technological Innovation (4 papers), Firm Innovation and Growth (4 papers), Innovation and Socioeconomic Development (3 papers), University-Industry-Government Innovation Models (3 papers) and Economic Growth and Productivity (3 papers). The work is most often cited by research in Management Information Systems (170 citations), Strategy and Management (268 citations), Management of Technology and Innovation (117 citations), Business and International Management (26 citations) and Economics and Econometrics (200 citations). Daniel Nepelski has collaborated with scholars based in Spain, Belgium and Italy. Frequent co-authors include Giuditta De Prato, Ashley Braganza, Laurence Brooks, Maged Ali, Vincent Van Roy, Annarosa Pesole, James A. Cunningham, Daire Hooper, Cristina Marullo and Andrea Bellucci. Their work appears in journals such as The Journal of Technology Transfer, Intereconomics, International Journal of Technology Management, Urban Studies and Journal of Business Research.
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.