Murat Uçar

1.2k citations
32 papers · 808 · 1 hit paper · h-index 9

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Disease Management Techniques
    • Date Palm Research Studies
    • Plant Virus Research Studies

Papers in

Murat Uçar

30 papers receiving 777 citations

Murat Uçar's Hit Papers

Plant leaf disease classification using EfficientNet deep learning model 2020 · 623 citations
6230+2+4Years since publication200400600

Peers

Murat Uçar
Comparison fields: 5 of 115
  • Analytical Chemistry 188
  • Plant Science 499
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 67
  • Computer Vision and Pattern Recognition 63
Replace Emine Uçar with:
Emine Uçar Türkiye
Aydın Kaya Türkiye
Kemal Adem Türkiye
Vinay Gautam India
Geeta Rani India
Naresh Kumar Trivedi India
Rakesh Chandra Joshi India
Edna C. Too Kenya
Tawseef Ayoub Shaikh India
Murat Uçar relative to Emine Uçar Türkiye Emine Uçar's profile →
Citations per field
00.5×1.5×2.3×
Emine Uçar · 1×
Citations per year

Countries citing papers authored by Murat Uçar

Since Specialization
Citations

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

Fields of papers citing papers by Murat Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Murat Uçar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murat Uçar Line = papers co-authored together Murat Uçar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plant leaf disease classification using EfficientNet deep learning model
Hit paper breakdown →
2020623
2 202118
3 201715
4 201413
5 201911
6 202311
7 201910
8 202110
9 20149
10 20228
11 20247
12 20097
13 20167
14 20197
15 20097
16 20185
17 20215
18 20215
19 20204
20 20224

About Murat Uçar

Murat Uçar is a scholar working on Education, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 32 papers that have together received 808 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Machine Fault Diagnosis Techniques (3 papers), Education Practices and Challenges (3 papers), Educational Leadership and Administration (3 papers), Teacher Professional Development and Motivation (3 papers), Speech and Audio Processing (3 papers), Digital Imaging for Blood Diseases (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Analytical Chemistry (188 citations), Plant Science (499 citations), Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (67 citations) and Computer Vision and Pattern Recognition (63 citations). Murat Uçar has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Emine Uçar, Ümit Atila, Kemal Akyol, Erdal Canpolat, Elvan Şahin, Hasan Basri Çakmak, Baha Şen, Raif Bayır, Mahmut Özer and Serhat Şeker. Their work appears in journals such as Multimedia Tools and Applications, Environment Development and Sustainability, Neural Computing and Applications, Ecological Informatics and Biomedical Signal Processing and Control.

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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