Cem İyigün

938 total citations
35 papers, 635 citations indexed

About

Cem İyigün is a scholar working on Organizational Behavior and Human Resource Management, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Cem İyigün has authored 35 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organizational Behavior and Human Resource Management, 12 papers in Industrial and Manufacturing Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Cem İyigün's work include Facility Location and Emergency Management (12 papers), Vehicle Routing Optimization Methods (10 papers) and Transportation Planning and Optimization (5 papers). Cem İyigün is often cited by papers focused on Facility Location and Emergency Management (12 papers), Vehicle Routing Optimization Methods (10 papers) and Transportation Planning and Optimization (5 papers). Cem İyigün collaborates with scholars based in Türkiye, United States and Netherlands. Cem İyigün's co-authors include İnci Batmaz, Ceylan Yozgatlıgil, Adi Ben-Israel, Kaan Özbay, Murat Türkeş, Muhammed Zeynel Öztürk, Bekir Bartin, Pelin Bayindir, Gerhard‐Wilhelm Weber and Haldun Süral and has published in prestigious journals such as Expert Systems with Applications, Transportation Research Part C Emerging Technologies and Computers & Operations Research.

In The Last Decade

Cem İyigün

33 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cem İyigün Türkiye 14 143 104 100 99 94 35 635
Mohammad H. Vahidnia Iran 14 238 1.7× 57 0.5× 87 0.9× 43 0.4× 85 0.9× 31 856
Charles Nicholson United States 12 71 0.5× 74 0.7× 62 0.6× 80 0.8× 30 0.3× 32 791
M. Saadatseresht Iran 14 54 0.4× 60 0.6× 104 1.0× 48 0.5× 49 0.5× 61 756
Xiao Ling China 15 83 0.6× 171 1.6× 31 0.3× 29 0.3× 39 0.4× 44 909
Parham Pahlavani Iran 13 125 0.9× 301 2.9× 21 0.2× 40 0.4× 65 0.7× 70 922
Rahim Ali Abbaspour Iran 17 240 1.7× 339 3.3× 16 0.2× 45 0.5× 57 0.6× 78 1.2k
Amit Agarwal India 17 151 1.1× 63 0.6× 16 0.2× 42 0.4× 95 1.0× 63 1.1k
Khalid A. Eldrandaly Egypt 15 71 0.5× 85 0.8× 19 0.2× 43 0.4× 57 0.6× 34 515
Raghav Pant United Kingdom 20 435 3.0× 17 0.2× 41 0.4× 87 0.9× 59 0.6× 43 1.4k
Yifan Zhang China 15 78 0.5× 118 1.1× 42 0.4× 16 0.2× 146 1.6× 79 1.0k

Countries citing papers authored by Cem İyigün

Since Specialization
Citations

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

Fields of papers citing papers by Cem İyigün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem İyigün

This figure shows the co-authorship network connecting the top 25 collaborators of Cem İyigün. A scholar is included among the top collaborators of Cem İyigün 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 Cem İyigün. Cem İyigün 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.
İyigün, Cem, et al.. (2024). Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces. Annals of Operations Research. 347(2). 1059–1091. 2 indexed citations
2.
İyigün, Cem, et al.. (2024). Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning. Future Generation Computer Systems. 157. 469–484.
3.
İyigün, Cem, et al.. (2024). Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies. BioData Mining. 17(1). 3–3. 1 indexed citations
4.
Bayindir, Pelin, et al.. (2023). An analysis of ambulance location problem from an equity perspective. Socio-Economic Planning Sciences. 90. 101737–101737. 1 indexed citations
5.
İyigün, Cem, et al.. (2023). Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 91(5). 339–364. 1 indexed citations
6.
Eşme, Mert, Cafer Balcı, Mustafa Cankurtaran, et al.. (2020). Identification of genomic biomarkers with machine learning for early and differential diagnosis of late‐onset Alzheimer’s disease (LOAD). Alzheimer s & Dementia. 16(S2). 2 indexed citations
7.
İyigün, Cem, et al.. (2019). Engineering Effort Estimation for Product Development Projects. OpenMETU (Middle East Technical University). 774–778. 1 indexed citations
8.
Bayindir, Pelin, et al.. (2018). Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach. Transportation Research Part C Emerging Technologies. 90. 134–155. 14 indexed citations
9.
İyigün, Cem, et al.. (2017). Short-term electricity load forecasting with special days: an analysis on parametric and non-parametric methods. Annals of Operations Research. 354(3). 1039–1072. 8 indexed citations
10.
İlk, Özlem, et al.. (2017). Clustering of short time-course gene expression data with dissimilar replicates. Annals of Operations Research. 263(1-2). 405–428.
11.
Bayindir, Pelin, et al.. (2017). Location analysis of emergency vehicles using an approximate queueing model. Transportation research procedia. 22. 430–439. 2 indexed citations
13.
Süral, Haldun, et al.. (2014). The Weber problem in congested regions with entry and exit points. Computers & Operations Research. 62. 177–183. 3 indexed citations
14.
İyigün, Cem, et al.. (2014). Heuristics for a continuous multi-facility location problem with demand regions. Computers & Operations Research. 62. 237–256. 20 indexed citations
15.
İyigün, Cem. (2013). The planar hub location problem: a probabilistic clustering approach. Annals of Operations Research. 211(1). 193–207. 3 indexed citations
16.
İyigün, Cem, et al.. (2013). Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach. Journal of Global Optimization. 60(1). 79–102. 10 indexed citations
17.
Yozgatlıgil, Ceylan, et al.. (2012). Comparison of missing value imputation methods in time series: the case of Turkish meteorological data. Theoretical and Applied Climatology. 112(1-2). 143–167. 153 indexed citations
18.
Özbay, Kaan, Cem İyigün, Melike Baykal‐Gürsoy, & Weihua Xiao. (2012). Probabilistic programming models for traffic incident management operations planning. Annals of Operations Research. 203(1). 389–406. 14 indexed citations
19.
İyigün, Cem & Adi Ben-Israel. (2009). Contour approximation of data: A duality theory. Linear Algebra and its Applications. 430(10). 2771–2780. 2 indexed citations
20.
İyigün, Cem & Adi Ben-Israel. (2009). A generalized Weiszfeld method for the multi-facility location problem. Operations Research Letters. 38(3). 207–214. 36 indexed citations

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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