Nadja Damij
- Management Information Systems top 5%
- Strategy and Management top 10%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Management of Technology and Innovation top 5%
- Co-authors
- Femi OlanJana SuklanEmmanuel Ogiemwonyi ArakpogunFranklin NakpodiaUchitha JayawickramaJames A. CunninghamZoran LevnajićS. D. Bhattacharya
- Topics
- Business Process Modeling and Analysis (7 papers)Big Data and Business Intelligence (6 papers)Service-Oriented Architecture and Web Services (4 papers)
- Cited by
- Management Information SystemsManagement of Technology and InnovationBusiness and International Management
- Partner nations
- SloveniaUnited KingdomNorway
In The Last Decade
Nadja Damij
36 papers receiving 469 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Management Information Systems 167
- Strategy and Management 104
- Management Science and Operations Research 80
- Artificial Intelligence 76
- Management of Technology and Innovation 74
Countries citing papers authored by Nadja Damij
This map shows the geographic impact of Nadja Damij'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 Nadja Damij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Damij more than expected).
Fields of papers citing papers by Nadja Damij
This network shows the impact of papers produced by Nadja Damij. 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 Nadja Damij. The network helps show where Nadja Damij may publish in the future.
Co-authorship network of co-authors of Nadja Damij
This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Damij. A scholar is included among the top collaborators of Nadja Damij 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 Nadja Damij. Nadja Damij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 34 | |
| 18 | Business process modelling using activity table technique | 0 |
| 19 | Simulation of the health care process surgery | 1 |
| 20 | 11 |
About Nadja Damij
Nadja Damij is a scholar working on Management Information Systems, Management of Technology and Innovation and Business and International Management, having authored 37 papers that have together received 512 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (7 papers), Big Data and Business Intelligence (6 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Management Information Systems (167 citations), Management of Technology and Innovation (74 citations) and Business and International Management (19 citations). Nadja Damij has collaborated with scholars based in Slovenia, United Kingdom and Norway. Frequent co-authors include Femi Olan, Jana Suklan, Emmanuel Ogiemwonyi Arakpogun, Franklin Nakpodia, Uchitha Jayawickrama, James A. Cunningham, Zoran Levnajić, S. D. Bhattacharya, Luka Čehovin Zajc and Biljana Mileva Boshkoska. Their work appears in journals such as PLoS ONE, Journal of Business Research and Industrial Marketing Management.
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.