| 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 | 160 | 2018 |
| Predicting heart transplantation outcomes through data analytics A Dag, A Oztekin, A Yucel, S Bulur, FM Megahed Decision Support Systems 94, 42-52, 2017 | 112 | 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 | 107 | 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 | 92 | 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 | 73 | 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 | 55 | 2018 |
| 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 | 46 | 2021 |
| 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 | 45 | 2021 |
| 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 | 32 | 2020 |
| 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 | 27 | 2019 |
| A machine learning-based approach to predict the velocity profiles in small streams O Genç, A Dağ Water resources management 30, 43-61, 2016 | 26 | 2016 |
| 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 | 24 | 2019 |
| An interpretable decision-support systems for daily cryptocurrency trading HA Dolatsara, E Kibis, M Caglar, S Simsek, A Dag, GA Dolatsara, D Delen Expert Systems with Applications 203, 117409, 2022 | 22 | 2022 |
| 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 | 20 | 2017 |
| A service analytic approach to studying patient no-shows M Nasir, N Summerfield, A Dag, A Oztekin Service Business, 1-27, 2020 | 18 | 2020 |
| A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends A Dag, AZ Dag, A Asilkalkan, S Simsek, D Delen Journal of Business Research 156, 113522, 2023 | 17 | 2023 |
| A novel text analytic methodology for classification of product and service reviews A Yucel, A Dag, A Oztekin, M Carpenter Journal of Business Research 151, 287-297, 2022 | 13 | 2022 |
| Improving imbalanced machine learning with neighborhood-informed synthetic sample placement M Nasir, A Dag, S Simsek, A Ivanov, A Oztekin Journal of Management Information Systems 39 (4), 1116-1145, 2022 | 8 | 2022 |
| Development of a machine-learning-based decision support mechanism for predicting chemical tanker cleaning activity B Cankaya, B Eren Tokgoz, A Dag, KC Santosh Journal of Modelling in Management 16 (4), 1138-1165, 2021 | 7 | 2021 |
| 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 | 7 | 2016 |
Serhat SimsekProfessor of Statistics and Data ScienceZweryfikowany adres z montclair.edu
