Uğur Halıcı

5.6k total citations · 1 hit paper
69 papers, 1.4k citations indexed

About

Uğur Halıcı is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Uğur Halıcı has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 11 papers in Ocean Engineering. Recurrent topics in Uğur Halıcı's work include Automated Road and Building Extraction (11 papers), Neural Networks and Applications (10 papers) and Remote Sensing and LiDAR Applications (8 papers). Uğur Halıcı is often cited by papers focused on Automated Road and Building Extraction (11 papers), Neural Networks and Applications (10 papers) and Remote Sensing and LiDAR Applications (8 papers). Uğur Halıcı collaborates with scholars based in Türkiye, Cyprus and United States. Uğur Halıcı's co-authors include Yousef R. Tabar, Kemal Leblebi̇ci̇oğlu, Volkan Atalay, Mehmet Sinan Beksaç, Ümit Budak, Abdulkadir Şengür, Şeyda Ertekin, Meral Beksaç, Asuman Doğaç and Yang Xiao and has published in prestigious journals such as Proceedings of the IEEE, European Journal of Operational Research and Industrial & Engineering Chemistry Research.

In The Last Decade

Uğur Halıcı

65 papers receiving 1.3k citations

Hit Papers

A novel deep learning approach for classification of EEG ... 2016 2026 2019 2022 2016 200 400 600
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. A novel deep learning approach for classification of EEG motor imagery signals
    2016 659 citations Yousef R. Tabar, Uğur Halıcı Journal of Neural Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uğur Halıcı Türkiye 15 672 354 289 269 250 69 1.4k
Aimin Jiang China 21 454 0.7× 366 1.0× 112 0.4× 432 1.6× 200 0.8× 128 1.7k
Jun Zhou China 18 469 0.7× 242 0.7× 192 0.7× 117 0.4× 204 0.8× 137 1.4k
Zhi Yang China 20 719 1.1× 330 0.9× 493 1.7× 242 0.9× 217 0.9× 90 1.8k
Kwee-Bo Sim South Korea 16 354 0.5× 362 1.0× 90 0.3× 172 0.6× 406 1.6× 178 1.4k
Francisco Pelayo Spain 20 758 1.1× 287 0.8× 437 1.5× 129 0.5× 312 1.2× 79 1.8k
Rui Yan China 26 375 0.6× 709 2.0× 101 0.3× 82 0.3× 479 1.9× 139 2.4k
Ergun Erçelebi Türkiye 16 410 0.6× 345 1.0× 59 0.2× 311 1.2× 251 1.0× 69 1.4k
Chuang Lin China 21 736 1.1× 380 1.1× 340 1.2× 106 0.4× 180 0.7× 74 1.6k
How‐Lung Eng Singapore 16 291 0.4× 1.1k 3.0× 92 0.3× 340 1.3× 284 1.1× 53 1.6k

Countries citing papers authored by Uğur Halıcı

Since Specialization
Citations

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

Fields of papers citing papers by Uğur Halıcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uğur Halıcı

This figure shows the co-authorship network connecting the top 25 collaborators of Uğur Halıcı. A scholar is included among the top collaborators of Uğur Halıcı 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 Uğur Halıcı. Uğur Halıcı 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.
Temizel, Alptekin, et al.. (2023). IR Reasoner: Real-time Infrared Object Detection by Visual Reasoning. OpenMETU (Middle East Technical University). 422–430. 8 indexed citations
2.
Halıcı, Uğur, et al.. (2022). Introduction to Fingerprint Recognition. CRC Press, Inc. eBooks. 1–34.
3.
Tabar, Yousef R. & Uğur Halıcı. (2016). Brain Computer Interfaces for Silent Speech. European Review. 25(2). 208–230. 9 indexed citations
4.
Tabar, Yousef R. & Uğur Halıcı. (2016). A novel deep learning approach for classification of EEG motor imagery signals. Journal of Neural Engineering. 14(1). 16003–16003. 659 indexed citations breakdown →
5.
6.
Halıcı, Uğur, et al.. (2009). 3D data processing for enhancement of face scanner data. 456–459. 1 indexed citations
7.
Halıcı, Uğur, et al.. (2004). Time-frequency analysis of visual evoked potentials for interhemispheric transfer time and proportion in callosal fibers of different diameters. Biological Cybernetics. 90(4). 291–301. 2 indexed citations
8.
Halıcı, Uğur, et al.. (2003). Optimizing neural networks for playing tic-tac-toe. 4. 513–518. 2 indexed citations
9.
Özcan, Fatma, et al.. (2002). A multidatabase system implementation on CORBA. OpenMETU (Middle East Technical University). 2–11. 2 indexed citations
10.
Halıcı, Uğur. (2001). Reinforcement learning with internal expectation in the random neural networks for cascaded decisions. Biosystems. 63(1-3). 21–34. 4 indexed citations
11.
Halıcı, Uğur. (2000). Reinforcement learning with internal expectation for the random neural network. European Journal of Operational Research. 126(2). 288–307. 32 indexed citations
12.
Halıcı, Uğur, Kemal Leblebi̇ci̇oğlu, & Lakhmi C. Jain. (1999). Training Radial Basis Function Neural Networks through Parabolic Evolutionary Algorithm.. 2 indexed citations
13.
Halıcı, Uğur, et al.. (1999). <title>Pattern recognition in bistable networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3722. 457–463. 3 indexed citations
14.
Arpinar, I. Budak, et al.. (1999). Formalization of Workflows and Correctness Issues in the Presence of Concurrency. Distributed and Parallel Databases. 7(2). 199–248. 20 indexed citations
15.
Arpinar, I. Budak, et al.. (1997). Correctness of Workflow in the Presence of Concurrency.. 0. 3 indexed citations
16.
Leblebi̇ci̇oğlu, Kemal & Uğur Halıcı. (1997). Infinite dimensional radial basis function neural networks for nonlinear transformations on function spaces. Nonlinear Analysis. 30(3). 1649–1654. 5 indexed citations
17.
Halıcı, Uğur. (1997). Reinforcement learning in random neural networks for cascaded decisions. Biosystems. 40(1-2). 83–91. 9 indexed citations
18.
Halıcı, Uğur, et al.. (1996). Fingerprint classification through self-organizing feature maps modified to treat uncertainties. Proceedings of the IEEE. 84(10). 1497–1512. 62 indexed citations
19.
Halıcı, Uğur & Asuman Doğaç. (1991). Concurrency control for distributed multiversion databases through time intervals. OpenMETU (Middle East Technical University). 365–374. 1 indexed citations
20.
Halıcı, Uğur & Asuman Doğaç. (1987). A method for concurrency control in distributed DBMSs. ACM SIGMOD Record. 16(2). 37–50. 4 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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