Daniel Palacios-Marqués
Impact in
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- Innovation and Socioeconomic Development
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- Entrepreneurship Studies and Influences
Papers in
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- Big Data and Business Intelligence 2
- Supply Chain and Inventory Management 1
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- Business Strategy and Innovation 1
- Co-authors
- Alberto Ferraris (2 shared papers)Satish Kumar (1 shared paper)Weng Marc Lim (1 shared paper)Francesco Schiavone (1 shared paper)Marina Dabić (1 shared paper)Vincenzo Corvello (1 shared paper)João J. Ferreira (1 shared paper)Cristina Fernandes (1 shared paper)
In The Last Decade
Daniel Palacios-Marqués
5 papers receiving 805 citations
Daniel Palacios-Marqués's Hit Papers
Peers
Comparison fields: 5 of 112
- Business and International Management 52
- Management of Technology and Innovation 140
- Strategy and Management 266
- Marketing 148
- Tourism, Leisure and Hospitality Management 23
Countries citing papers authored by Daniel Palacios-Marqués
This map shows the geographic impact of Daniel Palacios-Marqués'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 Daniel Palacios-Marqués with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Palacios-Marqués more than expected).
Fields of papers citing papers by Daniel Palacios-Marqués
This network shows the impact of papers produced by Daniel Palacios-Marqués. 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 Daniel Palacios-Marqués. The network helps show where Daniel Palacios-Marqués may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Palacios-Marqués, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Literature reviews as independent studies: guidelines for academic practice Hit paper breakdown → | 2022 | 696 |
| 2 | 2017 | 103 | |
| 3 | 2024 | 20 | |
| 4 | 2020 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2026 | 0 |
About Daniel Palacios-Marqués
Daniel Palacios-Marqués is a scholar working on Management Information Systems, Strategy and Management, Sociology and Political Science, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 6 papers that have together received 828 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Digital Transformation in Industry (1 paper), Supply Chain and Inventory Management (1 paper), Aviation Industry Analysis and Trends (1 paper), Qualitative Comparative Analysis Research (1 paper), scientometrics and bibliometrics research (1 paper), Innovation Diffusion and Forecasting (1 paper) and Business Strategy and Innovation (1 paper). The work is most often cited by research in Business and International Management (52 citations), Management of Technology and Innovation (140 citations), Strategy and Management (266 citations), Marketing (148 citations) and Tourism, Leisure and Hospitality Management (23 citations). Daniel Palacios-Marqués has collaborated with scholars based in Spain, Portugal and Australia. Frequent co-authors include Alberto Ferraris, Satish Kumar, Weng Marc Lim, Francesco Schiavone, Marina Dabić, Vincenzo Corvello, João J. Ferreira, Cristina Fernandes, Sascha Kraus and Dominik K. Kanbach. Their work appears in journals such as Review of Managerial Science, Journal of Management & Organization and International Journal of Enterprise Information Systems.
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.