Eren Baş

1.9k total citations
80 papers, 1.3k citations indexed

About

Eren Baş is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Eren Baş has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Management Science and Operations Research, 52 papers in Artificial Intelligence and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Eren Baş's work include Stock Market Forecasting Methods (64 papers), Neural Networks and Applications (43 papers) and Energy Load and Power Forecasting (28 papers). Eren Baş is often cited by papers focused on Stock Market Forecasting Methods (64 papers), Neural Networks and Applications (43 papers) and Energy Load and Power Forecasting (28 papers). Eren Baş collaborates with scholars based in Türkiye, United Kingdom and Taiwan. Eren Baş's co-authors include Erol Eğrioğlu, Ufuk Yolcu, Çağdaş Hakan Aladağ, Vedide Rezan Uslu, Özge Cağcağ Yolcu, Crina Groşan, Mu‐Yen Chen, Oğuzhan Yılmaz, Robert Fildes and Esra Akdenız and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Eren Baş

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eren Baş Türkiye	23	726	579	361	185	166	80	1.3k
Hossein Javedani Sadaei Brazil	15	488 0.7×	295 0.5×	438 1.2×	136 0.7×	134 0.8×	29	1.0k
Çağdaş Hakan Aladağ Türkiye	28	1.6k 2.3×	767 1.3×	473 1.3×	724 3.9×	591 3.6×	71	2.3k
Ufuk Yolcu Türkiye	28	1.7k 2.3×	854 1.5×	486 1.3×	742 4.0×	613 3.7×	84	2.3k
Peng Wu China	20	550 0.8×	239 0.4×	141 0.4×	136 0.7×	37 0.2×	62	983
Bryan Lim Australia	8	276 0.4×	304 0.5×	207 0.6×	162 0.9×	266 1.6×	11	1.1k
Jan Gasthaus United States	16	428 0.6×	397 0.7×	215 0.6×	79 0.4×	392 2.4×	27	1.1k
Tao Xiong China	17	463 0.6×	270 0.5×	513 1.4×	374 2.0×	60 0.4×	68	1.4k
Tao Xiong China	11	280 0.4×	246 0.4×	297 0.8×	88 0.5×	54 0.3×	17	841
Tim Januschowski United States	15	477 0.7×	320 0.6×	227 0.6×	81 0.4×	377 2.3×	30	1.1k
Achilleas Zapranis Greece	18	297 0.4×	262 0.5×	155 0.4×	316 1.7×	76 0.5×	38	968

Countries citing papers authored by Eren Baş

Since Specialization

Citations

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

Fields of papers citing papers by Eren Baş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eren Baş

This figure shows the co-authorship network connecting the top 25 collaborators of Eren Baş. A scholar is included among the top collaborators of Eren Baş 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 Eren Baş. Eren Baş 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

Eğrioğlu, Erol, Eren Baş, & Mu‐Yen Chen. (2024). A fuzzy Gaussian process regression function approach for forecasting problem. Granular Computing. 9(2). 9 indexed citations

Baş, Eren, et al.. (2024). Intuitionistic fuzzy time series forecasting method based on dendrite neuron model and exponential smoothing. Granular Computing. 9(2). 4 indexed citations

Eğrioğlu, Erol, et al.. (2023). Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm. Information Sciences. 629. 398–412. 14 indexed citations

Eğrioğlu, Erol & Eren Baş. (2023). Robust intuitionistic fuzzy regression functions approaches. Information Sciences. 638. 118992–118992. 12 indexed citations

Baş, Eren, et al.. (2023). Süper Lig Futbol Kulüplerinin Web Sitelerinin SWARA ve WASPAS Yöntemleri ile Web Sitesi Performansına Göre Sıralanması. Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi. 20(2). 615–627. 1 indexed citations

Özkırımlı, Elif, Erol Eğrioğlu, & Eren Baş. (2023). Bootstrapped Dendritic Neuron Model Artificial Neural Network for Forecasting. Granular Computing. 8(6). 1689–1699. 9 indexed citations

Baş, Eren, et al.. (2023). A new training algorithm for long short-term memory artificial neural network based on particle swarm optimization. Granular Computing. 8(6). 1645–1658. 10 indexed citations

Baş, Eren, et al.. (2023). Training Sigma-Pi neural networks with the grey wolf optimization algorithm. Granular Computing. 8(5). 981–989. 3 indexed citations

Baş, Eren, et al.. (2023). Robust training of median dendritic artificial neural networks for time series forecasting. Expert Systems with Applications. 238. 122080–122080. 34 indexed citations

10.

Baş, Eren, Erol Eğrioğlu, Ufuk Yolcu, & Mu‐Yen Chen. (2022). A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. Big Data. 11(2). 105–116. 4 indexed citations

11.

Baş, Eren, et al.. (2022). Ebeveynlerin Kreş Seçimi Üzerine Çok Kriterli Karar Verme: VIKOR Yöntemi İle Giresun Örneği Üzerinde Bir Uygulama. Karadeniz Sosyal Bilimler Dergisi. 14(27). 815–826.

12.

Baş, Eren, Erol Eğrioğlu, & Ufuk Yolcu. (2021). Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm. SHILAP Revista de lepidopterología. 3(4). 839–849. 6 indexed citations

13.

Baş, Eren, Ufuk Yolcu, & Erol Eğrioğlu. (2019). Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. Journal of Computational and Applied Mathematics. 370. 112656–112656. 22 indexed citations

14.

Baş, Eren, Erol Eğrioğlu, & Vedide Rezan Uslu. (2017). Shrinkage Parameters for Each Explanatory Variable Found Via Particle Swarm Optimization in Ridge Regression. 2(1). 12–20.

15.

Baş, Eren, et al.. (2016). Single Multiplicative Neuron Model Artificial Neuron Network Trained by Bat Algorithm for Time Series Forecasting. 6(3). 74–77. 3 indexed citations

16.

Eğrioğlu, Erol, Eren Baş, Çağdaş Hakan Aladağ, & Ufuk Yolcu. (2016). Probabilistic Fuzzy Time Series Method Based on Artificial Neural Network. 6(2). 42–47. 16 indexed citations

17.

Baş, Eren, Ufuk Yolcu, Erol Eğrioğlu, & Çağdaş Hakan Aladağ. (2015). A Fuzzy Time Series Forecasting Method Based on Operation of Union and Feed Forward Artificial Neural Network. 5(3). 81–91. 8 indexed citations

18.

Uslu, Vedide Rezan, Erol Eğrioğlu, & Eren Baş. (2014). Finding Optimal Value for the Shrinkage Parameter in Ridge Regression via Particle Swarm Optimization. 4(4). 142–147. 9 indexed citations

19.

Uslu, Vedide Rezan, Eren Baş, Ufuk Yolcu, & Erol Eğrioğlu. (2013). A NEW FUZZY TIME SERIES ANALYSIS APPROACH BY USING DIFFERENTIAL EVOLUTION ALGORITHM AND CHRONOLOGICALLY-DETERMINED WEIGHTS. RePEc: Research Papers in Economics. 2(1). 18–30. 4 indexed citations

20.

Baş, Eren, Vedide Rezan Uslu, Ufuk Yolcu, & Erol Eğrioğlu. (2013). A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations. 3(2). 75–82. 2 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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