| Predicting graft survival among kidney transplant recipients: A Bayesian decision support model K Topuz, FD Zengul, A Dag, A Almehmi Decision Support Systems 106, 97-109, 2018 | 83 | 2018 |
| Predicting heart transplantation outcomes through data analytics A Dag, A Yucel, S Bulur, FM Megahed Decision Support Systems 94, 42-52, 2017 | 83 | 2017 |
| Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach BD Rouyendegh, J Ekong, A Dag Annals of Operations Research, 1-18, 2017 | 72 | 2017 |
| A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival A Dag, K Topuz, S Bulur, MF Megahed Decision Support Systems 86, 1-12, 2016 | 64 | 2016 |
| A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival S Simsek, U Kursuncu, E Kibis, M AnisAbdellatif, A Dag Expert Systems with Applications, 112863, 2020 | 34 | 2020 |
| An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites BD Rouyendegh, K Topuz, A Dag Information Systems Frontiers, 1-11, 2018 | 33 | 2018 |
| A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions M Nasir, C South-Winter, S Ragothaman, A Dag Industrial Management & Data Systems 119 (1), 189-209, 2019 | 18 | 2019 |
| A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories S Simsek, A Dag, T Tiahrt, A Oztekin Omega 100, 102296, 2021 | 17 | 2021 |
| Data analytics approaches for breast cancer survivability: comparison of data mining methods E Kibis, E Buyuktahtakin, A Dag Proceedings of the 2017 Industrial and Systems Engineering Conference, 2017 | 16 | 2017 |
| A machine learning-based approach to predict the velocity profiles in small streams O Genç, A Dağ Water resources management 30 (1), 43-61, 2016 | 15 | 2016 |
| Stratifying No-show Patients into Multiple Risk Groups via a Holistic Data Analytics-based Framework S Simsek, T Tiahrt, A Dag Decision Support Systems, 2020 | 13 | 2020 |
| Developing a Decision Support System to Detect Material Weaknesses in Internal Control M Nasir, S Simsek, E Cornelsen, S Ragothaman, A Dag Decision Support Systems, 2021 | 10 | 2021 |
| Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach A Sener, M Barut, A Dag, MB Yildirim Annals of Operations Research, 1-34, 2019 | 8 | 2019 |
| A Bayesian network-based data analytical approach to predict velocity distribution in small streams O Genc, A Dag Journal of Hydroinformatics 18 (3), 466-480, 2016 | 6 | 2016 |
| A service analytic approach to studying patient no-shows M Nasir, N Summerfield, A Dag, A Oztekin Service Business, 1-27, 2020 | 4 | 2020 |
| Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach M Nasir, A Dag, WA Young, D Delen Decision Sciences Journal of Innovative Education 18 (3), 374-408, 2020 | 3 | 2020 |
| A Bayesian approach to detect the firms with material weakness in internal control S Simsek, E Bayraktar, S Ragothaman, A Dag 2018 Institute of Industrial and Systems Engineers Annual Conference and …, 2019 | 3 | 2019 |
| Factors associated with readmission of cardiac patients CA South-Winter, A Dag, S Ragothaman International Journal of Health Sciences 6 (4), 2372-5079, 2018 | 2 | 2018 |
| Preface : Data Mining & Decision Analytics VCP Chen, SB Kim, A Dag Annals of Operations Research 303 (1-3), 2021 | 1 | 2021 |
| Predicting hotel reviews from sentiment: a multinomial classification framework A Yucel, M Caglar, HA Dolatsara, B George, A Dag Journal of Modelling in Management 17 (2), 697-714, 2021 | 1 | 2021 |
Serhat SimsekAssistant Professer of Statistics and Business Analytics, Montclair State UniversityVerified email at montclair.edu
