Daniel C. Snow
- Strategy and Management top 10%
- Economics and Econometrics top 10%
- Sociology and Political Science
- Management Science and Operations Research top 10%
- Management Information Systems top 10%
- Co-authors
- Lamar PierceAndrew P. McAfeeNathan FurrRon AdnerTat Y. ChanSteven C. WheelwrightSusan HelperMary J. Benner
- Topics
- Innovation and Knowledge Management (9 papers)Innovation Diffusion and Forecasting (5 papers)Ethics in Business and Education (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel C. Snow
17 papers receiving 306 citations
Peers
Comparison fields: 5 of 67
- Strategy and Management 108
- Economics and Econometrics 88
- Sociology and Political Science 80
- Management Science and Operations Research 49
- Management Information Systems 44
Countries citing papers authored by Daniel C. Snow
This map shows the geographic impact of Daniel C. Snow'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 C. Snow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Snow more than expected).
Fields of papers citing papers by Daniel C. Snow
This network shows the impact of papers produced by Daniel C. Snow. 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 C. Snow. The network helps show where Daniel C. Snow may publish in the future.
Co-authorship network of co-authors of Daniel C. Snow
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Snow. A scholar is included among the top collaborators of Daniel C. Snow 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 Daniel C. Snow. Daniel C. Snow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 25 | |
| 3 | The Prius Approach: How Hybrid Technologies Help Companies Survive Disruption and Shape the Future | 2 |
| 4 | 170 | |
| 5 | 57 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | La retirada audaz: una estrategia nueva para tecnologías viejas | 9 |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | Capturing Benefits from Tomorrow's Technology in Today's Products: The Effect of Absorptive Capacity | 1 |
| 16 | 4 | |
| 17 | Genentech - Capacity Planning (TN) | 4 |
| 18 | 13 |
About Daniel C. Snow
Daniel C. Snow is a scholar working on Strategy and Management, Information Systems and Management and Management Science and Operations Research, having authored 18 papers that have together received 331 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (9 papers), Innovation Diffusion and Forecasting (5 papers) and Ethics in Business and Education (3 papers). The work is most often cited by research in Strategy and Management (108 citations), Management Information Systems (44 citations) and General Decision Sciences (8 citations). Daniel C. Snow has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Lamar Pierce, Andrew P. McAfee, Nathan Furr, Ron Adner, Tat Y. Chan, Steven C. Wheelwright, Susan Helper, Mary J. Benner and Gary P. Pisano. Their work appears in journals such as Management Science, Organization Science and Nutrients.
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.