Natasha Munshi
- Organizational Behavior and Human Resource Management top 5%
- Strategy and Management top 10%
- Management of Technology and Innovation top 5%
- Experimental and Cognitive Psychology
- Business and International Management top 5%
- Co-authors
- Adegoke OkeFred O. WalumbwaMelissa L. GruysTodd DewettSusan K. CohenMichael HadaniKim B. ClarkPhanish Puranam
- Topics
- Entrepreneurship Studies and Influences (2 papers)Innovation and Knowledge Management (2 papers)Management and Organizational Studies (1 paper)
- Cited by
- Business and International ManagementOrganizational Behavior and Human Resource ManagementManagement of Technology and Innovation
- Journals
- Technological Forecasting and Social ChangeOrganizational DynamicsThinking Skills and Creativity
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Natasha Munshi
7 papers receiving 254 citations
Peers
Comparison fields: 5 of 54
- Organizational Behavior and Human Resource Management 106
- Strategy and Management 101
- Management of Technology and Innovation 68
- Experimental and Cognitive Psychology 38
- Business and International Management 35
Countries citing papers authored by Natasha Munshi
This map shows the geographic impact of Natasha Munshi'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 Natasha Munshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Munshi more than expected).
Fields of papers citing papers by Natasha Munshi
This network shows the impact of papers produced by Natasha Munshi. 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 Natasha Munshi. The network helps show where Natasha Munshi may publish in the future.
Co-authorship network of co-authors of Natasha Munshi
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Munshi. A scholar is included among the top collaborators of Natasha Munshi 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 Natasha Munshi. Natasha Munshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 22 | |
| 4 | 35 | |
| 5 | 197 | |
| 6 | Leadership for Innovation | 1 |
| 7 | 3 |
About Natasha Munshi
Natasha Munshi is a scholar working on Business and International Management, Organizational Behavior and Human Resource Management and Management of Technology and Innovation, having authored 7 papers that have together received 282 indexed citations. Recurring topics across this work include Entrepreneurship Studies and Influences (2 papers), Innovation and Knowledge Management (2 papers) and Management and Organizational Studies (1 paper). The work is most often cited by research in Business and International Management (35 citations), Organizational Behavior and Human Resource Management (106 citations) and Management of Technology and Innovation (68 citations). Natasha Munshi has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Adegoke Oke, Fred O. Walumbwa, Melissa L. Gruys, Todd Dewett, Susan K. Cohen, Michael Hadani, Kim B. Clark, Phanish Puranam, Ayodeji Emmanuel Oke and Kathrin M. Moeslein. Their work appears in journals such as Technological Forecasting and Social Change, Organizational Dynamics and Thinking Skills and Creativity.
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.