Ümit Atila

1.3k total citations · 1 hit paper
30 papers, 915 citations indexed

About

Ümit Atila is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ümit Atila has authored 30 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Ümit Atila's work include Digital Imaging for Blood Diseases (5 papers), Speech and Audio Processing (4 papers) and AI in cancer detection (4 papers). Ümit Atila is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), Speech and Audio Processing (4 papers) and AI in cancer detection (4 papers). Ümit Atila collaborates with scholars based in Türkiye, Malaysia and Libya. Ümit Atila's co-authors include Kemal Akyol, Emine Uçar, Murat Uçar, İsmail Rakıp Karaş, Fionn Murtagh, Radwan Abu‐Issa, İsmail Şahin, Rafet Durgut, Abdullah Elen and Alias Abdul-Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ümit Atila

25 papers receiving 872 citations

Hit Papers

Plant leaf disease classification using EfficientNet deep... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ümit Atila Türkiye 10 498 189 182 154 92 30 915
Suneet Gupta India 18 674 1.4× 254 1.3× 247 1.4× 188 1.2× 156 1.7× 42 1.4k
Kemal Akyol Türkiye 9 494 1.0× 198 1.0× 130 0.7× 151 1.0× 118 1.3× 47 1.0k
Muhammet Fatih Aslan Türkiye 20 316 0.6× 184 1.0× 304 1.7× 417 2.7× 380 4.1× 61 1.4k
Muammer Türkoğlu Türkiye 18 539 1.1× 215 1.1× 192 1.1× 309 2.0× 233 2.5× 58 1.4k
Ajay Kaul India 12 313 0.6× 146 0.8× 145 0.8× 130 0.8× 37 0.4× 22 848
Vipul K. Dabhi India 15 431 0.9× 258 1.4× 89 0.5× 225 1.5× 15 0.2× 51 1.1k
Kashif Javed Pakistan 21 877 1.8× 458 2.4× 455 2.5× 414 2.7× 190 2.1× 38 1.9k
Antoine Vacavant France 12 157 0.3× 57 0.3× 625 3.4× 153 1.0× 76 0.8× 44 985
Atul Bansal India 18 519 1.0× 400 2.1× 186 1.0× 73 0.5× 152 1.7× 59 1.2k
Jinrong He China 14 525 1.1× 237 1.3× 146 0.8× 135 0.9× 11 0.1× 71 1.0k

Countries citing papers authored by Ümit Atila

Since Specialization
Citations

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

Fields of papers citing papers by Ümit Atila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ümit Atila

This figure shows the co-authorship network connecting the top 25 collaborators of Ümit Atila. A scholar is included among the top collaborators of Ümit Atila 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 Ümit Atila. Ümit Atila 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.
Atila, Ümit, et al.. (2025). A robust mechanistic–metaheuristic hybrid approach for predicting milling force coefficients. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering.
2.
Atila, Ümit, et al.. (2024). A novel hybridization approach to improve the critical distance clustering algorithm: Balancing speed and quality. Expert Systems with Applications. 247. 123298–123298.
3.
4.
Atila, Ümit, et al.. (2024). A Hybrid Particle Swarm Optimization with Tabu Search for Optimizing Aid Distribution Route. 7(1). 10–27. 2 indexed citations
5.
Akyol, Kemal, Emine Uçar, Ümit Atila, & Murat Uçar. (2024). An ensemble approach for classification of tympanic membrane conditions using soft voting classifier. Multimedia Tools and Applications. 83(32). 77809–77830. 5 indexed citations
6.
Atila, Ümit, et al.. (2024). Deep learning based detection of silicosis from computed tomography images. SHILAP Revista de lepidopterología. 6. 100166–100166.
7.
Atila, Ümit, et al.. (2023). A Deep Learning Based Offline Optical Character Recognition Model for Printed Ottoman Turkish. Technium Romanian Journal of Applied Sciences and Technology. 18. 47–64. 1 indexed citations
8.
Akyol, Kemal, Emine Uçar, Ümit Atila, & Murat Uçar. (2022). An Ensemble Approach for Classification of Tympanic Membrane Conditions Using Soft Voting Classifier. SSRN Electronic Journal. 3 indexed citations
9.
Korkmaz, Ahmet & Ümit Atila. (2021). Derin Öğrenme Teknikleriyle Akciğer Röntgeninden Covid-19 Tespiti. 4(1). 1–13.
10.
Uçar, Emine, Ümit Atila, Murat Uçar, & Kemal Akyol. (2021). Automated detection of Covid-19 disease using deep fused features from chest radiography images. Biomedical Signal Processing and Control. 69. 102862–102862. 18 indexed citations
11.
Atila, Ümit, et al.. (2020). Analyzing the performances of evolutionary multi-objective optimizers on design optimization of robot gripper configurations. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(1). 349–369. 6 indexed citations
12.
Atila, Ümit, et al.. (2020). Learn from one data set to classify all – A multi-target domain adaptation approach for white blood cell classification. Computer Methods and Programs in Biomedicine. 196. 105645–105645. 13 indexed citations
13.
Atila, Ümit, et al.. (2020). Classification of white blood cells using capsule networks. Computerized Medical Imaging and Graphics. 80. 101699–101699. 96 indexed citations
14.
Akyol, Kemal & Ümit Atila. (2020). EEG Sinyallerinden Epileptik Nöbet Tahmini Üzerine Bir Çalışma. Academic Platform Journal of Engineering and Smart Systems. 8(2). 279–285. 1 indexed citations
15.
Atila, Ümit, Murat Uçar, Kemal Akyol, & Emine Uçar. (2020). Plant leaf disease classification using EfficientNet deep learning model. Ecological Informatics. 61. 101182–101182. 602 indexed citations breakdown →
16.
Atila, Ümit, et al.. (2019). A comprehensive investigation into the performance of optimization methods in spur gear design. Engineering Optimization. 52(6). 1052–1067. 15 indexed citations
17.
Akyol, Kemal & Ümit Atila. (2019). A Study on Performance Improvement of Heart Disease Prediction by Attribute Selection Methods. 7(2). 174–179. 4 indexed citations
18.
Atila, Ümit, et al.. (2018). SmartEscape: A Mobile Smart Individual Fire Evacuation System Based on 3D Spatial Model. ISPRS International Journal of Geo-Information. 7(6). 223–223. 31 indexed citations
19.
Atila, Ümit, et al.. (2011). Design of a route guidance system with shortest driving time based on genetic algorithm. CINECA IRIS Institutial Research Information System (University of Genoa). 61–66. 3 indexed citations
20.
Karaş, İsmail Rakıp & Ümit Atila. (2011). A genetic algorithm approach for finding the shortest driving time on mobile devices. Scientific Research and Essays. 6(2). 394–405. 6 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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