Kadir Kavaklıoğlu

643 total citations
13 papers, 524 citations indexed

About

Kadir Kavaklıoğlu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Kadir Kavaklıoğlu has authored 13 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Kadir Kavaklıoğlu's work include Grey System Theory Applications (4 papers), Fault Detection and Control Systems (4 papers) and Energy Load and Power Forecasting (4 papers). Kadir Kavaklıoğlu is often cited by papers focused on Grey System Theory Applications (4 papers), Fault Detection and Control Systems (4 papers) and Energy Load and Power Forecasting (4 papers). Kadir Kavaklıoğlu collaborates with scholars based in Türkiye and United States. Kadir Kavaklıoğlu's co-authors include Halim Ceylan, Harun Kemal Öztürk, Olcay Ersel Canyurt, B.R. Upadhyaya, Selami Beyhan, Arthur E. Ruggles and Uğur Cavlak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Kadir Kavaklıoğlu

13 papers receiving 497 citations

Peers

Kadir Kavaklıoğlu
Kadir Kavaklıoğlu
Citations per year, relative to Kadir Kavaklıoğlu Kadir Kavaklıoğlu (= 1×) peers Xu Xiaozhong

Countries citing papers authored by Kadir Kavaklıoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Kadir Kavaklıoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kadir Kavaklıoğlu

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

All Works

13 of 13 papers shown
1.
Kavaklıoğlu, Kadir, et al.. (2021). ESTIMATION OF BALANCE STATUS IN PATIENTS WITH HEMIPARESIS: AN ARTIFICIAL NEURAL NETWORK IMPLEMENTATION. Topics in Stroke Rehabilitation. 29(4). 265–271. 1 indexed citations
2.
Kavaklıoğlu, Kadir. (2018). Robust modeling of heating and cooling loads using partial least squares towards efficient residential building design. Journal of Building Engineering. 18. 467–475. 22 indexed citations
3.
Kavaklıoğlu, Kadir. (2018). Principal components based robust vector autoregression prediction of Turkey’s electricity consumption. Energy Systems. 10(4). 889–910. 11 indexed citations
4.
Kavaklıoğlu, Kadir, et al.. (2018). Experimental investigation and radial basis function network modeling of direct evaporative cooling systems. International Journal of Heat and Mass Transfer. 126. 139–150. 16 indexed citations
5.
Kavaklıoğlu, Kadir, et al.. (2015). Image Searching within Another Image Using Image Matching and Genetic Algorithms. SHILAP Revista de lepidopterología. 21(5). 182–193. 1 indexed citations
6.
Beyhan, Selami & Kadir Kavaklıoğlu. (2015). Comprehensive Modeling of U-Tube Steam Generators Using Extreme Learning Machines. IEEE Transactions on Nuclear Science. 62(5). 2245–2254. 16 indexed citations
7.
Kavaklıoğlu, Kadir. (2014). Support vector regression model based predictive control of water level of U-tube steam generators. Nuclear Engineering and Design. 278. 651–660. 12 indexed citations
8.
Kavaklıoğlu, Kadir. (2013). Robust electricity consumption modeling of Turkey using Singular Value Decomposition. International Journal of Electrical Power & Energy Systems. 54. 268–276. 21 indexed citations
9.
Kavaklıoğlu, Kadir. (2010). Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression. Applied Energy. 88(1). 368–375. 247 indexed citations
10.
Kavaklıoğlu, Kadir, Halim Ceylan, Harun Kemal Öztürk, & Olcay Ersel Canyurt. (2009). Modeling and prediction of Turkey’s electricity consumption using Artificial Neural Networks. Energy Conversion and Management. 50(11). 2719–2727. 138 indexed citations
11.
Ruggles, Arthur E., et al.. (2003). Development of a Data-Based Method for Performance Monitoring of Heat Exchangers. 248. 4 indexed citations
12.
Kavaklıoğlu, Kadir & B.R. Upadhyaya. (1999). Optimal Fuzzy Control Design Using Simulated Annealing and Application to Feedwater Heater Control. Nuclear Technology. 125(1). 70–84. 3 indexed citations
13.
Kavaklıoğlu, Kadir & B.R. Upadhyaya. (1994). Monitoring Feedwater Flow Rate and Component Thermal Performance of Pressurized Water Reactors by Means of Artificial Neural Networks. Nuclear Technology. 107(1). 112–123. 32 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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