Ümit Atila
- Plant Science top 5%
- Analytical Chemistry top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Kemal AkyolEmine UçarMurat Uçarİsmail Rakıp KaraşFionn MurtaghRadwan Abu‐Issaİsmail ŞahinRafet Durgut
- Topics
- Digital Imaging for Blood Diseases (5 papers)Speech and Audio Processing (4 papers)AI in cancer detection (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsComputer Methods and Programs in Biomedicine
In The Last Decade
Ümit Atila
25 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Plant Science 498
- Analytical Chemistry 189
- Computer Vision and Pattern Recognition 182
- Artificial Intelligence 154
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Ümit Atila
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 96 | |
| 14 | 1 | |
| 15 | Plant leaf disease classification using EfficientNet deep learning modelbreakdown → | 602 |
| 16 | 15 | |
| 17 | A Study on Performance Improvement of Heart Disease Prediction by Attribute Selection Methods | 4 |
| 18 | 31 | |
| 19 | Design of a route guidance system with shortest driving time based on genetic algorithm | 3 |
| 20 | 6 |
About Ümit Atila
Ümit Atila is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 915 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (5 papers), Speech and Audio Processing (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Analytical Chemistry (189 citations), Plant Science (498 citations) and Computer Vision and Pattern Recognition (182 citations). Ümit Atila has collaborated with scholars based in Türkiye, Malaysia and Libya. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.
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.