Cem Direkoğlu

1.7k total citations · 1 hit paper
40 papers, 935 citations indexed

About

Cem Direkoğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cem Direkoğlu has authored 40 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Cem Direkoğlu's work include Video Surveillance and Tracking Methods (11 papers), Medical Image Segmentation Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Cem Direkoğlu is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Medical Image Segmentation Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Cem Direkoğlu collaborates with scholars based in Türkiye, Cyprus and Ireland. Cem Direkoğlu's co-authors include Melike Şah, Ali Işın, Mark Nixon, Noel E. O’Connor, Masashi Unoki, Murat Fahrioğlu, Rozenn Dahyot, Suzanne Little, David J. Hurley and Khalid Zaman and has published in prestigious journals such as IEEE Access, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Cem Direkoğlu

35 papers receiving 871 citations

Hit Papers

Review of MRI-based Brain Tumor Image Segmentation Using ... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods
    2016 491 citations Cem Direkoğlu, Melike Şah et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cem Direkoğlu Türkiye 14 576 373 339 142 80 40 935
Melike Şah Cyprus 12 436 0.8× 380 1.0× 314 0.9× 141 1.0× 82 1.0× 39 861
Sandeep Kumar Mathivanan India 17 244 0.4× 272 0.7× 310 0.9× 216 1.5× 32 0.4× 99 929
Vishnuvarthanan Govindaraj India 17 608 1.1× 542 1.5× 506 1.5× 373 2.6× 41 0.5× 91 1.3k
S. Deepak India 10 757 1.3× 903 2.4× 586 1.7× 336 2.4× 42 0.5× 37 1.4k
Bumshik Lee South Korea 18 718 1.2× 280 0.8× 257 0.8× 110 0.8× 401 5.0× 70 1.2k
Rashid Abbasi China 15 369 0.6× 279 0.7× 230 0.7× 145 1.0× 18 0.2× 41 915
M. Arfan Jaffar Pakistan 21 812 1.4× 188 0.5× 288 0.8× 136 1.0× 82 1.0× 98 1.3k
Muhammad Awais United Kingdom 14 515 0.9× 184 0.5× 292 0.9× 114 0.8× 161 2.0× 56 972
Marwa Obayya Saudi Arabia 15 172 0.3× 141 0.4× 283 0.8× 191 1.3× 38 0.5× 78 725
Khosro Rezaee Iran 18 304 0.5× 91 0.2× 328 1.0× 158 1.1× 51 0.6× 70 943

Countries citing papers authored by Cem Direkoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Cem Direkoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem Direkoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Cem Direkoğlu. A scholar is included among the top collaborators of Cem Direkoğlu 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 Direkoğlu. Cem Direkoğlu 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.
Direkoğlu, Cem, et al.. (2025). A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers. BMC Medical Informatics and Decision Making. 25(1). 177–177.
2.
Direkoğlu, Cem, et al.. (2024). Hybrid Wavelet-LSTM-Transformer Model for Fault Forecasting in Power Grids. International Journal of Electrical and Electronics Engineering. 11(12). 314–326.
3.
Şah, Melike, et al.. (2024). Transformers and audio detection tasks: An overview. Digital Signal Processing. 158. 104956–104956. 3 indexed citations
4.
Şah, Melike, et al.. (2024). Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification. IEEE Access. 12. 149221–149237. 9 indexed citations
5.
Şah, Melike, et al.. (2023). A Survey of Audio Classification Using Deep Learning. IEEE Access. 11. 106620–106649. 71 indexed citations
6.
Şah, Melike, et al.. (2023). Pre-processed and combined EEG data for epileptic seizure classification using deep learning. Biomedical Signal Processing and Control. 84. 104738–104738. 15 indexed citations
7.
Direkoğlu, Cem, et al.. (2022). Hybrid deep learning models for multivariate forecasting of global horizontal irradiation. Neural Computing and Applications. 34(10). 8005–8026. 15 indexed citations
8.
9.
Direkoğlu, Cem, et al.. (2020). Evrişimli Sinir Ağlarını Kullanarak Müzik Notasyonunu Tanıma. European Journal of Science and Technology.
10.
Şah, Melike, et al.. (2020). A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos. Multimedia Tools and Applications. 79(25-26). 17579–17617. 19 indexed citations
11.
Qadir, Zakria & Cem Direkoğlu. (2019). Time and Cost Efficient Vein Pattern Recognition and Injection Point Suggestion using Machine Vision Technology. DergiPark (Istanbul University). 2(1). 58–64. 2 indexed citations
12.
Direkoğlu, Cem, et al.. (2018). Intelligent surveillance system for abandoned luggage. OpenMETU (Middle East Technical University). 4 indexed citations
13.
Hebbalaguppe, Ramya, et al.. (2016). Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks. 943–947. 1 indexed citations
14.
Little, Suzanne, et al.. (2013). Action recognition based on sparse motion trajectories. 3982–3985. 13 indexed citations
15.
Little, Suzanne, Cem Direkoğlu, Noel E. O’Connor, et al.. (2012). SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. Arrow@dit (Dublin Institute of Technology). 2 indexed citations
16.
Direkoğlu, Cem, et al.. (2012). On Using Anisotropic Diffusion for Skeleton Extraction. International Journal of Computer Vision. 100(2). 170–189. 13 indexed citations
17.
Direkoğlu, Cem, et al.. (2010). Skeleton Extraction via Anisotropic Heat Flow. 61.1–61.11. 2 indexed citations
18.
Nixon, Mark, et al.. (2008). On Using Physical Analogies for Feature and Shape Extraction in Computer Vision. Electronic workshops in computing. 1 indexed citations
19.
Direkoğlu, Cem & Mark Nixon. (2008). Image-Based Multiscale Shape Description Using Gaussian Filter. 37. 673–678. 7 indexed citations
20.
Çelik, Turgay, Cem Direkoğlu, Hüseyin Özkaramanlı, Hasan Demirel, & M. Uyguroĝlu. (2006). Region-Based Super-Resolution Aided Facial Feature Extraction from Low-Resolution Video Sequences. 2. 789–792. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Melike Şah Breakdown of academic impact, for papers by Sandeep Kumar Mathivanan Breakdown of academic impact, for papers by Vishnuvarthanan Govindaraj Breakdown of academic impact, for papers by S. Deepak Breakdown of academic impact, for papers by Bumshik Lee Breakdown of academic impact, for papers by Rashid Abbasi Breakdown of academic impact, for papers by M. Arfan Jaffar Breakdown of academic impact, for papers by Muhammad Awais Breakdown of academic impact, for papers by Marwa Obayya Breakdown of academic impact, for papers by Khosro Rezaee
Rankless by CCL
2026