Maja Meško
Impact in
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
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- Big Data and Business Intelligence
- Quality and Supply Management
Papers in
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- Innovation and Knowledge Management 8
- Organizational Leadership and Management Strategies 5
- Co-authors
- Vasja Roblek (28 shared papers)Mirjana Pejić Bach (16 shared papers)Živko Krstić (1 shared paper)Andrej Bertoncelj (8 shared papers)Iztok Podbregar (5 shared papers)Franci Pušavec (1 shared paper)Andrej Jerman (3 shared papers)Polona Šprajc (1 shared paper)
In The Last Decade
Maja Meško
66 papers receiving 1.5k citations
Maja Meško's Hit Papers
Peers
Comparison fields: 5 of 133
- Industrial and Manufacturing Engineering 648
- Management Information Systems 267
- Management of Technology and Innovation 196
- Strategy and Management 305
- Marketing 134
Countries citing papers authored by Maja Meško
This map shows the geographic impact of Maja Meško'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 Maja Meško with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Meško more than expected).
Fields of papers citing papers by Maja Meško
This network shows the impact of papers produced by Maja Meško. 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 Maja Meško. The network helps show where Maja Meško may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Meško, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Complex View of Industry 4.0 Hit paper breakdown → | 2016 | 737 |
| 2 | 2019 | 180 | |
| 3 | 2013 | 74 | |
| 4 | 2020 | 69 | |
| 5 | 2021 | 67 | |
| 6 | 2021 | 38 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2015 | 24 | |
| 11 | Elements of organizational culture leading to business excellence | 2010 | 22 |
| 12 | 2021 | 21 | |
| 13 | 2022 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 11 |
About Maja Meško
Maja Meško is a scholar working on Strategy and Management, Social Psychology, Management Information Systems, Management of Technology and Innovation and Sociology and Political Science, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (8 papers), Big Data and Business Intelligence (7 papers), Organizational Leadership and Management Strategies (5 papers), Digital Transformation in Industry (5 papers), Smart Cities and Technologies (5 papers), Collaboration in agile enterprises (5 papers), Knowledge Management and Sharing (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (648 citations), Management Information Systems (267 citations), Management of Technology and Innovation (196 citations), Strategy and Management (305 citations) and Marketing (134 citations). Maja Meško has collaborated with scholars based in Slovenia, Croatia and Serbia. Frequent co-authors include Vasja Roblek, Mirjana Pejić Bach, Živko Krstić, Andrej Bertoncelj, Iztok Podbregar, Franci Pušavec, Andrej Jerman, Polona Šprajc, Vlado Dimovski and Judita Peterlin. Their work appears in journals such as Sustainability, Kybernetes, Systems Research and Behavioral Science, Nature Communications and ACS Synthetic Biology.
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.