T. Colak

1.1k total citations
25 papers, 774 citations indexed

About

T. Colak is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, T. Colak has authored 25 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 16 papers in Artificial Intelligence and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in T. Colak's work include Solar and Space Plasma Dynamics (22 papers), Solar Radiation and Photovoltaics (15 papers) and Photovoltaic System Optimization Techniques (4 papers). T. Colak is often cited by papers focused on Solar and Space Plasma Dynamics (22 papers), Solar Radiation and Photovoltaics (15 papers) and Photovoltaic System Optimization Techniques (4 papers). T. Colak collaborates with scholars based in United Kingdom, France and Ireland. T. Colak's co-authors include Rami Qahwaji, Paul Higgins, P. T. Gallagher, D. Shaun Bloomfield, S. Ipson, Rami Qahwaji, M. S. Wheatland, Manolis K. Georgoulis, D. A. Falconer and T. M. Dunn and has published in prestigious journals such as The Astrophysical Journal, Solar Physics and Advances in Space Research.

In The Last Decade

T. Colak

25 papers receiving 729 citations

Peers

T. Colak
Monica Bobra United States
Ju Jing United States
Han He China
C. A. Young United States
Zhanle Du China
T. Colak
Citations per year, relative to T. Colak T. Colak (= 1×) peers Yanmei Cui

Countries citing papers authored by T. Colak

Since Specialization
Citations

This map shows the geographic impact of T. Colak'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 T. Colak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Colak more than expected).

Fields of papers citing papers by T. Colak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Colak

This figure shows the co-authorship network connecting the top 25 collaborators of T. Colak. A scholar is included among the top collaborators of T. Colak 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 T. Colak. T. Colak 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.
Barnes, G., K. D. Leka, C. J. Schrijver, et al.. (2016). A COMPARISON OF FLARE FORECASTING METHODS. I. RESULTS FROM THE “ALL-CLEAR” WORKSHOP. The Astrophysical Journal. 829(2). 89–89. 141 indexed citations
2.
Verbeeck, C., Paul Higgins, T. Colak, et al.. (2011). A Multi-wavelength Analysis of Active Regions and Sunspots by Comparison of Automatic Detection Algorithms. Solar Physics. 283(1). 67–95. 31 indexed citations
4.
Qahwaji, Rami, et al.. (2011). Solar Flare Prediction Using Advanced Feature Extraction, Machine Learning, and Feature Selection. Solar Physics. 283(1). 157–175. 127 indexed citations
5.
Qahwaji, Rami, et al.. (2011). ADAPTIVE THRESHOLDING TECHNIQUE FOR SOLAR FILAMENT SEGMENTATION. 2 indexed citations
6.
Qahwaji, Rami, et al.. (2010). Automated Feature Detection and Solar Flare Prediction Using SDO Data. 38. 4. 3 indexed citations
7.
Qahwaji, Rami, et al.. (2010). Machine Leaning-Based Investigation of the Associations between CMEs and Filaments. Solar Physics. 262(2). 511–539. 14 indexed citations
8.
Qahwaji, Rami, et al.. (2010). A new technique for the calculation and 3D visualisation of magnetic complexities on solar satellite images. The Visual Computer. 26(5). 385–395. 11 indexed citations
9.
Colak, T. & Rami Qahwaji. (2010). Automated Prediction of Solar Flares. 1 indexed citations
10.
Qahwaji, Rami, et al.. (2009). Calculate the Energy of Active Regions and Solar Disk on Satellite Images for Real-Time Solar Flare Forecasting. SPIRE - Sciences Po Institutional REpository. 177. 224–230. 2 indexed citations
14.
Qahwaji, Rami, et al.. (2008). Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations. Solar Physics. 248(2). 471–483. 30 indexed citations
15.
Qahwaji, Rami & T. Colak. (2007). Automatic Prediction of Solar Flares using Machine Learning: Practical Study on the Halloween Storm. 12. 739–742. 5 indexed citations
16.
Colak, T. & Rami Qahwaji. (2007). Automatic Sunspot Classification for Real-Time Forecasting of Solar Activities. 733–738. 18 indexed citations
17.
Colak, T. & Rami Qahwaji. (2007). Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images. Solar Physics. 248(2). 277–296. 70 indexed citations
18.
Qahwaji, Rami, et al.. (2007). Morphological-Based Filtering of Noise: Practical Study on Solar Images. 23. 1075–1078. 1 indexed citations
19.
Qahwaji, Rami & T. Colak. (2006). Hybrid imaging and neural networks techniques for processing solar images. Bradford Scholars (University of Bradford). 13. 9–16. 3 indexed citations
20.
Qahwaji, Rami & T. Colak. (2005). Automatic detection and verification of solar features. International Journal of Imaging Systems and Technology. 15(4). 199–210. 22 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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