Ali Dağ

847 total citations
26 papers, 629 citations indexed

About

Ali Dağ is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Ali Dağ has authored 26 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 5 papers in Economics and Econometrics. Recurrent topics in Ali Dağ's work include Imbalanced Data Classification Techniques (6 papers), Stock Market Forecasting Methods (3 papers) and Healthcare Operations and Scheduling Optimization (3 papers). Ali Dağ is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Stock Market Forecasting Methods (3 papers) and Healthcare Operations and Scheduling Optimization (3 papers). Ali Dağ collaborates with scholars based in United States, Türkiye and Iran. Ali Dağ's co-authors include Asil Oztekin, Kazim Topuz, Serhat Simsek, Babak Daneshvar Rouyendegh, Mehmet Bayram Yildirim, Fadel M. Megahed, Ammar Almehmi, Ferhat D. Zengul, Eyyüb Y. Kıbış and Ugur Kursuncu and has published in prestigious journals such as Journal of Business Research, Expert Systems with Applications and Journal of Management Information Systems.

In The Last Decade

Ali Dağ

25 papers receiving 610 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Dağ United States 14 174 135 96 74 59 26 629
Kazim Topuz United States 13 175 1.0× 88 0.7× 72 0.8× 50 0.7× 31 0.5× 25 602
Soroush Saghafian United States 19 100 0.6× 195 1.4× 32 0.3× 329 4.4× 338 5.7× 71 1.4k
Wojtek Michalowski Canada 21 469 2.7× 303 2.2× 205 2.1× 97 1.3× 113 1.9× 114 1.4k
Somayeh Alizadeh Iran 16 345 2.0× 97 0.7× 111 1.2× 18 0.2× 25 0.4× 48 1.0k
Adam Fadlalla United States 19 131 0.8× 145 1.1× 92 1.0× 70 0.9× 170 2.9× 52 1.1k
Bor‐Wen Cheng Taiwan 17 178 1.0× 78 0.6× 57 0.6× 23 0.3× 68 1.2× 58 847
Nathan Proudlove United Kingdom 16 35 0.2× 123 0.9× 159 1.7× 269 3.6× 216 3.7× 66 1.0k
Filipe Portela Portugal 12 126 0.7× 61 0.5× 142 1.5× 17 0.2× 114 1.9× 100 571
Lokesh Sharma India 6 236 1.4× 63 0.5× 229 2.4× 31 0.4× 104 1.8× 20 936

Countries citing papers authored by Ali Dağ

Since Specialization
Citations

This map shows the geographic impact of Ali Dağ'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 Ali Dağ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Dağ more than expected).

Fields of papers citing papers by Ali Dağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Dağ. 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 Ali Dağ. The network helps show where Ali Dağ may publish in the future.

Co-authorship network of co-authors of Ali Dağ

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Dağ. A scholar is included among the top collaborators of Ali Dağ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ali Dağ. Ali Dağ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Simsek, Serhat, et al.. (2024). A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach. Decision Support Systems. 189. 114369–114369. 1 indexed citations
2.
Dağ, Ali, et al.. (2024). A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations. Information Systems Frontiers. 27(3). 1209–1225. 2 indexed citations
3.
Dağ, Ali, et al.. (2022). A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends. Journal of Business Research. 156. 113522–113522. 18 indexed citations
4.
Dağ, Ali, et al.. (2022). A novel text analytic methodology for classification of product and service reviews. Journal of Business Research. 151. 287–297. 8 indexed citations
5.
Kıbış, Eyyüb Y., et al.. (2022). An interpretable decision-support systems for daily cryptocurrency trading. Expert Systems with Applications. 203. 117409–117409. 17 indexed citations
6.
Simsek, Serhat, et al.. (2021). Developing a decision support system to detect material weaknesses in internal control. Decision Support Systems. 151. 113631–113631. 23 indexed citations
7.
Dağ, Ali, et al.. (2021). Short-term prediction of opioid prescribing patterns for orthopaedic surgical procedures: a machine learning framework. RePEc: Research Papers in Economics. 4(1). 1–13. 2 indexed citations
8.
Dağ, Ali, et al.. (2021). Predicting hotel reviews from sentiment: a multinomial classification framework. Journal of Modelling in Management. 17(2). 697–714. 3 indexed citations
9.
Simsek, Serhat, et al.. (2020). Stratifying no-show patients into multiple risk groups via a holistic data analytics-based framework. Decision Support Systems. 132. 113269–113269. 23 indexed citations
10.
Dağ, Ali, et al.. (2020). Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach. Decision Sciences Journal of Innovative Education. 18(3). 374–408. 3 indexed citations
11.
Simsek, Serhat, et al.. (2020). A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories. Omega. 100. 102296–102296. 40 indexed citations
12.
Dağ, Ali, et al.. (2020). A service analytic approach to studying patient no-shows. Service Business. 14(2). 287–313. 11 indexed citations
13.
Barut, Mehmet, et al.. (2019). Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach. Annals of Operations Research. 303(1-2). 125–158. 20 indexed citations
14.
Simsek, Serhat, et al.. (2018). A Bayesian Approach to Detect the Firms with Material Weakness in Internal Control. 3 indexed citations
15.
Dağ, Ali, et al.. (2018). A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions. Industrial Management & Data Systems. 119(1). 189–209. 20 indexed citations
16.
Rouyendegh, Babak Daneshvar, Kazim Topuz, Ali Dağ, & Asil Oztekin. (2018). An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites. Information Systems Frontiers. 21(6). 1345–1355. 37 indexed citations
17.
Topuz, Kazim, Ferhat D. Zengul, Ali Dağ, Ammar Almehmi, & Mehmet Bayram Yildirim. (2017). Predicting graft survival among kidney transplant recipients: A Bayesian decision support model. Decision Support Systems. 106. 97–109. 108 indexed citations
18.
Dağ, Ali, et al.. (2016). Predicting heart transplantation outcomes through data analytics. Decision Support Systems. 94. 42–52. 71 indexed citations
19.
Dağ, Ali, et al.. (2016). A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival. Decision Support Systems. 86. 1–12. 60 indexed citations
20.

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.

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