Ömer Faruk Beyca

1.2k total citations
24 papers, 823 citations indexed

About

Ömer Faruk Beyca is a scholar working on Mechanical Engineering, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Ömer Faruk Beyca has authored 24 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 5 papers in Management Science and Operations Research and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ömer Faruk Beyca's work include Advanced Measurement and Metrology Techniques (6 papers), Advanced Surface Polishing Techniques (5 papers) and Advanced machining processes and optimization (5 papers). Ömer Faruk Beyca is often cited by papers focused on Advanced Measurement and Metrology Techniques (6 papers), Advanced Surface Polishing Techniques (5 papers) and Advanced machining processes and optimization (5 papers). Ömer Faruk Beyca collaborates with scholars based in Türkiye, United States and Jordan. Ömer Faruk Beyca's co-authors include Zhenyu Kong, Satish Bukkapatnam, Selim Zaim, İbrahim Yazıcı, Beyzanur Çayır Ervural, R. Komanduri, Dursun Delen, Prahalada Rao, Pınar Gökçin Özuyar and Ekrem Tatoğlu and has published in prestigious journals such as Energy Economics, Sustainability and Annals of Operations Research.

In The Last Decade

Ömer Faruk Beyca

22 papers receiving 795 citations

Peers

Countries citing papers authored by Ömer Faruk Beyca

Since Specialization

Citations

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

Fields of papers citing papers by Ömer Faruk Beyca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ömer Faruk Beyca. 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 Ömer Faruk Beyca. The network helps show where Ömer Faruk Beyca may publish in the future.

Co-authorship network of co-authors of Ömer Faruk Beyca

This figure shows the co-authorship network connecting the top 25 collaborators of Ömer Faruk Beyca. A scholar is included among the top collaborators of Ömer Faruk Beyca 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 Ömer Faruk Beyca. Ömer Faruk Beyca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Link between Digital Technologies Adoption and Sustainability Performance: Supply Chain Traceability/Resilience or Circular Economy Practices 2024 ·Sustainability ·(unknown), Ömer Faruk Beyca, Selim Zaim	2
2	Diabetic Retinopathy Diagnosis with Image Processing 2024 ·Istanbul Technical University Academic Open Archive (Istanbul Technical University) ·Mehmet Şahin, Ömer Faruk Beyca	0
3	Energy-Efficient Bi-Objective Optimization Based on the Moth–Flame Algorithm for Cluster Head Selection in a Wireless Sensor Network 2023 ·Processes ·(unknown), Haythem Bany Salameh, (unknown), Ömer Faruk Beyca, (unknown), (unknown)	11
4	Deep-learning-based short-term electricity load forecasting: A real case application 2022 ·Engineering Applications of Artificial Intelligence ·İbrahim Yazıcı, Ömer Faruk Beyca, Dursun Delen	97
5	A Hybrid Deep Learning-Metaheuristic Model for Diagnosis of Diabetic Retinopathy 2022 ·GAZI UNIVERSITY JOURNAL OF SCIENCE ·(unknown), (unknown), Ömer Faruk Beyca	5
6	Demand Forecasting with Integration of Time Series and Regression Models in Pharmaceutical Industry 2022 ·DergiPark (Istanbul University) ·(unknown), Ömer Faruk Beyca	2
7	A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification 2021 ·International Journal of Computational Intelligence Systems ·(unknown), Ömer Faruk Beyca, Onur Doğan	15
8	A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria 2020 ·Annals of Operations Research ·İbrahim Yazıcı, Ömer Faruk Beyca, (unknown), Halil Zaim, Dursun Delen, Selim Zaim	18
9	Using machine learning tools for forecasting natural gas consumption in the province of Istanbul 2019 ·Energy Economics ·Ömer Faruk Beyca, Beyzanur Çayır Ervural, Ekrem Tatoğlu, Pınar Gökçin Özuyar, Selim Zaim	131
10	Forecasting Intermittent Demand Using the Cox Process. 2018 ·Ibn Haldun University Institutional Repository (Yes) ·(unknown), (unknown), Ömer Faruk Beyca	1
11	Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization 2016 ·IEEE Transactions on Automation Science and Engineering ·Jia Liu, Ömer Faruk Beyca, Prahalada Rao, Zhenyu Kong, Satish Bukkapatnam	25
12	Fuel Consumption Models Applied to Automobiles Using Real-time Data: A Comparison of Statistical Models 2016 ·Procedia Computer Science ·(unknown), (unknown), Mehmet Şevkli, Ömer Faruk Beyca	20
13	Model Estimation of ARMA Using Genetic Algorithms: A Case Study of Forecasting Natural Gas Consumption 2016 ·Procedia - Social and Behavioral Sciences ·Beyzanur Çayır Ervural, Ömer Faruk Beyca, Selim Zaim	59
14	Quantification of Ultraprecision Surface Morphology using an Algebraic Graph Theoretic Approach 2015 ·Procedia Manufacturing ·Prahalada Rao, Satish Bukkapatnam, Zhenyu Kong, Ömer Faruk Beyca, Kenneth E. Case, R. Komanduri	8
15	A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process 2015 ·IIE Transactions ·Prahalada Rao, Ömer Faruk Beyca, Zhenyu Kong, Satish Bukkapatnam, Kenneth E. Case, R. Komanduri	36
16	Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory 2015 ·IEEE Transactions on Automation Science and Engineering ·Ömer Faruk Beyca, Prahalada Rao, Zhenyu Kong, Satish Bukkapatnam, R. Komanduri	36
17	Time series forecasting for nonlinear and non-stationary processes: a review and comparative study 2015 ·IIE Transactions ·Changqing Cheng, Akkarapol Sa-ngasoongsong, Ömer Faruk Beyca, Trung Le, Hui Yang, Zhenyu Kong, Satish Bukkapatnam	170
18	Process-Machine Interaction (PMI) Modeling and Monitoring of Chemical Mechanical Planarization (CMP) Process Using Wireless Vibration Sensors 2014 ·IEEE Transactions on Semiconductor Manufacturing ·Prahalada Rao, Brij M. Bhushan, Satish Bukkapatnam, Zhenyu Kong, (unknown), Ömer Faruk Beyca, Adam C. Fields, R. Komanduri	32
19	Nonlinear Sequential Bayesian Analysis-Based Decision Making for End-Point Detection of Chemical Mechanical Planarization (CMP) Processes 2011 ·IEEE Transactions on Semiconductor Manufacturing ·Zhenyu Kong, Ömer Faruk Beyca, Satish Bukkapatnam, R. Komanduri	19
20	Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling 2010 ·IEEE Transactions on Semiconductor Manufacturing ·Zhenyu Kong, Asil Oztekin, Ömer Faruk Beyca, (unknown), Satish Bukkapatnam, R. Komanduri	34

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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