| Infrastructure and trade: A meta-analysis G Celbis, P Nijkamp, J Poot Region 1 (1), 25-64, 2014 | 79* | 2014 |
| Internet infrastructure and regional convergence: Evidence from Turkey MG Celbis, D de Crombrugghe Papers in Regional Science 97 (2), 387-410, 2018 | 72* | 2018 |
| A machine learning approach to rural entrepreneurship MG Celbiş Papers in Regional Science 100 (4), 1079-1105, 2021 | 33 | 2021 |
| Job satisfaction and the ‘Great resignation’: An exploratory machine learning analysis MG Celbiş, PH Wong, K Kourtit, P Nijkamp Social Indicators Research 170 (3), 1097-1118, 2023 | 31 | 2023 |
| Unemployment in Rural Europe: A Machine Learning Perspective MG Celbiş Applied Spatial Analysis and Policy 16 (3), 1071-1095, 2023 | 30 | 2023 |
| Impacts of the COVID-19 Outbreak on Older-Age Cohorts in European Labor Markets: A Machine Learning Exploration of Vulnerable Groups MG Celbiş, PH Wong, K Kourtit, P Nijkamp Regional Science Policy & Practice, 2022 | 22 | 2022 |
| Human rights, income and international migration PH Wong, MG Celbis International Migration 57 (3), 98-114, 2019 | 17* | 2019 |
| Competition for Infrastructure Among Regions in Turkey MG Celbiş, D de Crombrugghe, J Muysken Bölgesel Arastirmalar Dergisi 3 (2), 115-161, 2019 | 13* | 2019 |
| Infrastructure and the international export performance of Turkish regions M Guney Celbis, P Nijkamp, J Poot The Region and Trade: New Analytical Directions, 319-350, 2015 | 13 | 2015 |
| Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach MG Celbiş, P Wong, K Kourtit, P Nijkamp Sustainability 13 (23), 2021 | 8 | 2021 |
| Regional integration and the economic geography of Belarus M Güney Celbis, PH Wong, T Guznajeva Eurasian Geography and Economics 59 (3-4), 462-495, 2018 | 8* | 2018 |
| Does Too Much Work Hamper Innovation? Evidence for Diminishing Returns of Work Hours for Patent Grants MG Celbis, S Turkeli Journal Global Policy and Governance 4 (1), 97-116, 2015 | 5 | 2015 |
| To what extent walking and biking are substitutes or complements to public transport? Interpretable machine learning findings from the University of Lyon, France MG Celbiş, L Bouzouina Journal of Transport Geography 123, 104071, 2025 | 4 | 2025 |
| The Pandemic and the City MG Celbiş, K Kourtit, P Nijkamp Pandemic and the City, 1-7, 2023 | 3 | 2023 |
| Industrial Composition, Remote Working and Mobility Changes in Canada and the US During the COVID-19 Pandemic: A SHAP Value Analysis of XGBoost Predictions MG Celbiş, C Özgüzel, K Kourtit, P Nijkamp Pandemic and the City, 189-207, 2023 | 3 | 2023 |
| Applications of machine learning models in regional and demographic economic analysis: A literature survey MG Celbiş Labor Markets, Migration, and Mobility: Essays in Honor of Jacques Poot, 219-229, 2021 | 3 | 2021 |
| 17. Detecting and measuring spatial spillover effects and heterogeneity using interpretable tree-based machine learning approaches: an illustration using the Boston housing dataset MG Celbiş, PH Wong, K Kourtit, P Nijkamp Handbook on Big Data, Artificial Intelligence and Cities, 349, 2025 | 2 | 2025 |
| A non-linear and interaction effect analysis of distance and transport accessibility on bicycle use: the example of the university staff in Lyon (France) MG Celbiş, N Havet, L Bouzouina Romanian Journal of Regional Science 17 (2), 2023 | 2 | 2023 |
| Resilience of public transport in the face of disruptions: Insights from explainable machine learning B Cottreau, MG Celbiş, O Manout, L Bouzouina Transportation Research Part A: Policy and Practice 199, 104550, 2025 | 1 | 2025 |
| Spotlight on the region analytical contributions on regional development P Nijkamp, K Kourtit, MG Celbiş The Annals of Regional Science 70 (1), 1-5, 2023 | 1 | 2023 |
Pui-Hang WongMaastricht University & UNU-MERITVerified email at maastrichtuniversity.nl
