Naomi Haefner
- Strategy and Management top 5%
- Management Information Systems top 5%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Co-authors
- Oliver GassmannJoakim WincentVinit ParidaMaximilian PalmiéStephan WinterhalterMarco ZeschkyAlexander SchuhmacherJörg Goldhahn
- Topics
- Big Data and Business Intelligence (4 papers)Innovation and Knowledge Management (3 papers)Digital Transformation in Industry (2 papers)
- Journals
- Entrepreneurship Theory and PracticeTechnological Forecasting and Social ChangeDrug Discovery Today
- Partner nations
- SwitzerlandUnited StatesFinland
In The Last Decade
Naomi Haefner
8 papers receiving 580 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Strategy and Management 167
- Management Information Systems 143
- Economics and Econometrics 122
- Management Science and Operations Research 110
- Artificial Intelligence 102
Countries citing papers authored by Naomi Haefner
This map shows the geographic impact of Naomi Haefner'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 Naomi Haefner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Haefner more than expected).
Fields of papers citing papers by Naomi Haefner
This network shows the impact of papers produced by Naomi Haefner. 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 Naomi Haefner. The network helps show where Naomi Haefner may publish in the future.
Co-authorship network of co-authors of Naomi Haefner
This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Haefner. A scholar is included among the top collaborators of Naomi Haefner 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 Naomi Haefner. Naomi Haefner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 11 | |
| 3 | 19 | |
| 4 | Artificial intelligence and innovation management: A review, framework, and research agenda✰breakdown → | 504 |
| 5 | 2 | |
| 6 | 1 | |
| 7 | “With(out) a Little Help From My Friends? Stakeholder Management, Innovation Strategy, and Long-Term Firm Performance” | 1 |
| 8 | 36 |
About Naomi Haefner
Naomi Haefner is a scholar working on Health Informatics, Management Information Systems and Strategy and Management, having authored 8 papers that have together received 618 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Innovation and Knowledge Management (3 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Health Informatics (25 citations), Management Information Systems (143 citations) and Management of Technology and Innovation (87 citations). Naomi Haefner has collaborated with scholars based in Switzerland, United States and Finland. Frequent co-authors include Oliver Gassmann, Joakim Wincent, Vinit Parida, Maximilian Palmié, Stephan Winterhalter, Marco Zeschky, Alexander Schuhmacher, Jörg Goldhahn, Henning Piezunka and Hart E. Posen. Their work appears in journals such as Entrepreneurship Theory and Practice, Technological Forecasting and Social Change and Drug Discovery Today.
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.