Engin Pekel

536 total citations
23 papers, 358 citations indexed

About

Engin Pekel is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Environmental Engineering. According to data from OpenAlex, Engin Pekel has authored 23 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 4 papers in Management Science and Operations Research and 4 papers in Environmental Engineering. Recurrent topics in Engin Pekel's work include Vehicle Routing Optimization Methods (6 papers), Soil Moisture and Remote Sensing (4 papers) and Food Drying and Modeling (3 papers). Engin Pekel is often cited by papers focused on Vehicle Routing Optimization Methods (6 papers), Soil Moisture and Remote Sensing (4 papers) and Food Drying and Modeling (3 papers). Engin Pekel collaborates with scholars based in Türkiye and Iran. Engin Pekel's co-authors include Selin Soner Kara, Şaban Pusat, Coşkun Özkan, Ahmet Kara, Muhammet Gül, Erkan Çelik, Faruk Serin, Melih Yücesan, Zeynep Ceylan and Serol Bulkan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Fuel Processing Technology.

In The Last Decade

Engin Pekel

23 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Engin Pekel Türkiye	9	63	48	47	46	42	23	358
Jinzhen Fan China	10	45 0.7×	23 0.5×	95 2.0×	87 1.9×	76 1.8×	15	433
Changjiang Li China	12	127 2.0×	34 0.7×	108 2.3×	22 0.5×	69 1.6×	40	459
Hossein Hassanpour Darvishi Iran	12	45 0.7×	28 0.6×	68 1.4×	52 1.1×	103 2.5×	40	563
Dulakshi Santhusitha Kumari Karunasingha Sri Lanka	4	38 0.6×	31 0.6×	37 0.8×	74 1.6×	59 1.4×	6	417
Linh Nguyen Australia	15	112 1.8×	52 1.1×	65 1.4×	54 1.2×	109 2.6×	81	668
Dražen Slišković Croatia	9	120 1.9×	37 0.8×	26 0.6×	76 1.7×	57 1.4×	19	470
Jesús Zambrano Sweden	11	33 0.5×	61 1.3×	25 0.5×	55 1.2×	52 1.2×	38	447

Countries citing papers authored by Engin Pekel

Since Specialization

Citations

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

Fields of papers citing papers by Engin Pekel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Engin Pekel

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

Pekel, Engin, et al.. (2025). Prediction of drying kinetics and energy consumption values of purple carrots dried in a temperature-controlled microwave dryer by decision tree, random forest and ada boost approaches. Chemometrics and Intelligent Laboratory Systems. 260. 105352–105352. 3 indexed citations

Kara, Ahmet, et al.. (2023). Genetic algorithm optimized a deep learning method with attention mechanism for soil moisture prediction. Neural Computing and Applications. 36(4). 1761–1772. 13 indexed citations

Pekel, Engin. (2022). Deep Learning Approach to Technician Routing and Scheduling Problem. SHILAP Revista de lepidopterología. 11(2). 191–206. 2 indexed citations

Pekel, Engin, Muhammet Gül, Erkan Çelik, & Samuel Yousefı. (2021). Metaheuristic Approaches Integrated with ANN in Forecasting Daily Emergency Department Visits. Mathematical Problems in Engineering. 2021. 1–14. 3 indexed citations

Yücesan, Melih, Engin Pekel, Erkan Çelik, Muhammet Gül, & Faruk Serin. (2021). Forecasting daily natural gas consumption with regression, time series and machine learning based methods. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 4605–4620. 9 indexed citations

Ceylan, Zeynep, et al.. (2020). Biomass higher heating value prediction analysis by ANFIS, PSO-ANFIS and GA-ANFIS. Dspace Repository (Marmara Üniversitesi). 3 indexed citations

Pekel, Engin, et al.. (2020). Using hybridized ANN-GA prediction method for DOE performed drying experiments. Drying Technology. 38(11). 1393–1399. 5 indexed citations

Pekel, Engin. (2020). Investigation of estimation performance for different soil areas. Environmental Monitoring and Assessment. 192(5). 284–284. 1 indexed citations

Pekel, Engin, et al.. (2020). Decision tree regression model to predict low-rank coal moisture content during convective drying process. International Journal of Coal Preparation and Utilization. 40(8). 505–512. 15 indexed citations

10.

Pekel, Engin. (2020). Solving technician routing and scheduling problem using improved particle swarm optimization. Soft Computing. 24(24). 19007–19015. 15 indexed citations

11.

Pekel, Engin, et al.. (2019). Moisture content estimation during fixed bed drying process with design of experiment and ANFIS methods. International Journal of Oil Gas and Coal Technology. 22(3). 332–332. 5 indexed citations

12.

Pekel, Engin, et al.. (2019). Estimation of Number of Flight Using Particle Swarm Optimization and Artificial Neural Network. SHILAP Revista de lepidopterología. 8(3). 27–33. 3 indexed citations

13.

Pekel, Engin. (2019). Estimation of soil moisture using decision tree regression. Theoretical and Applied Climatology. 139(3-4). 1111–1119. 162 indexed citations

14.

Pekel, Engin & Selin Soner Kara. (2019). Solving fuzzy capacitated location routing problem using hybrid variable neighborhood search and evolutionary local search. Applied Soft Computing. 83. 105665–105665. 24 indexed citations

15.

Özkan, Coşkun, et al.. (2019). Moisture content estimation during fixed bed drying process with design of experiment and ANFIS methods. International Journal of Oil Gas and Coal Technology. 22(3). 332–332. 1 indexed citations

16.

Pekel, Engin & Selin Soner Kara. (2018). Solving Capacitated Location Routing Problem by Variable Neighborhood Descent and GA-Artificial Neural Network Hybrid Method. PROMET - Traffic&Transportation. 30(5). 563–578. 3 indexed citations

17.

Pekel, Engin & Selin Soner Kara. (2017). Passenger Flow Prediction Based on Newly Adopted Algorithms. Applied Artificial Intelligence. 31(1). 64–79. 16 indexed citations

18.

Pekel, Engin & Selin Soner Kara. (2017). A Comprehensive Review for Artifical Neural Network Application to Public Transportation. DergiPark (Istanbul University). 35(1). 157. 6 indexed citations

19.

Pekel, Engin, et al.. (2017). Determination of Effective Parameters for Coal Moisture Content Determination Using a ‘Design of Experiment’ Method. International Journal of Coal Preparation and Utilization. 38(8). 443–450. 9 indexed citations

20.

Pusat, Şaban, et al.. (2015). Estimation of coal moisture content in convective drying process using ANFIS. Fuel Processing Technology. 147. 12–17. 48 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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