Željko Tekić
Impact in
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- Intellectual Property and Patents
- Entrepreneurship Studies and Influences
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- Big Data and Business Intelligence
Papers in
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- Innovation and Knowledge Management 7
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- Intellectual Property and Patents 5
- Entrepreneurship Studies and Influences 3
- Co-authors
- Dmitry Koroteev (2 shared papers)Johann Füller (3 shared papers)Katja Hutter (2 shared papers)Volker Bilgram (1 shared paper)Dragan Kukolj (8 shared papers)Alessandro Golkar (2 shared papers)Zoran Anišić (2 shared papers)Maja Pokrić (4 shared papers)
In The Last Decade
Željko Tekić
29 papers receiving 726 citations
Željko Tekić's Hit Papers
Peers
Comparison fields: 5 of 102
- Management of Technology and Innovation 143
- Management Information Systems 128
- Industrial and Manufacturing Engineering 109
- Strategy and Management 163
- Business and International Management 20
Countries citing papers authored by Željko Tekić
This map shows the geographic impact of Željko Tekić'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 Željko Tekić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Željko Tekić more than expected).
Fields of papers citing papers by Željko Tekić
This network shows the impact of papers produced by Željko Tekić. 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 Željko Tekić. The network helps show where Željko Tekić may publish in the future.
Co-authors
The 10 scholars most cited alongside Željko Tekić, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators Hit paper breakdown → | 2022 | 180 |
| 2 | 2019 | 168 | |
| 3 | 2020 | 138 | |
| 4 | 2023 | 62 | |
| 5 | 2020 | 42 | |
| 6 | 2021 | 29 | |
| 7 | 2013 | 20 | |
| 8 | 2013 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2015 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | Comparison of algorithms for patent documents clusterization | 2012 | 5 |
| 17 | PSALM - Tool for business intelligence | 2012 | 5 |
| 18 | 2013 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Željko Tekić
Željko Tekić is a scholar working on Strategy and Management, Management of Technology and Innovation, Sociology and Political Science, Economics and Econometrics and Management Information Systems, having authored 32 papers that have together received 760 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (7 papers), Intellectual Property and Patents (5 papers), Private Equity and Venture Capital (5 papers), Qualitative Comparative Analysis Research (5 papers), Innovation Policy and R&D (4 papers), Design Education and Practice (3 papers), Entrepreneurship Studies and Influences (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Management of Technology and Innovation (143 citations), Management Information Systems (128 citations), Industrial and Manufacturing Engineering (109 citations), Strategy and Management (163 citations) and Business and International Management (20 citations). Željko Tekić has collaborated with scholars based in Russia, Serbia and Austria. Frequent co-authors include Dmitry Koroteev, Johann Füller, Katja Hutter, Volker Bilgram, Dragan Kukolj, Alessandro Golkar, Zoran Anišić, Maja Pokrić, Vedran Žerjav and Clément Fortin. Their work appears in journals such as Technology in Society, Technology Analysis and Strategic Management, Journal of Business Research, Technological Forecasting and Social Change and Energy and AI.
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.