Emrullah Acar

405 total citations
33 papers, 280 citations indexed

About

Emrullah Acar is a scholar working on Artificial Intelligence, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emrullah Acar has authored 33 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Environmental Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emrullah Acar's work include Smart Agriculture and AI (6 papers), Soil Moisture and Remote Sensing (5 papers) and AI in cancer detection (5 papers). Emrullah Acar is often cited by papers focused on Smart Agriculture and AI (6 papers), Soil Moisture and Remote Sensing (5 papers) and AI in cancer detection (5 papers). Emrullah Acar collaborates with scholars based in Türkiye and United States. Emrullah Acar's co-authors include Mehmet Siraç Özerdem, Ömer Faruk Ertuğrul, Ömer Türk, Burak Berk Üstündağ, Musa Yılmaz, Tahir Çetin Akıncı, Burhan Ergen, Veysi Akpolat, Emrah Irmak and Abdullah Kaya and has published in prestigious journals such as IEEE Access, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Emrullah Acar

31 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emrullah Acar Türkiye 10 64 51 47 44 33 33 280
Alejandro H. Ballado Philippines 10 32 0.5× 127 2.5× 75 1.6× 41 0.9× 60 1.8× 61 341
Julien Mille France 8 11 0.2× 147 2.9× 72 1.5× 31 0.7× 35 1.1× 16 247
Damayanthi Herath Sri Lanka 8 16 0.3× 53 1.0× 46 1.0× 19 0.4× 63 1.9× 17 263
Fei Tong China 12 42 0.7× 60 1.2× 9 0.2× 39 0.9× 30 0.9× 35 281
Robert G. Higgins United States 6 124 1.9× 64 1.3× 96 2.0× 133 3.0× 10 0.3× 9 455
Panle Li China 10 81 1.3× 55 1.1× 111 2.4× 116 2.6× 38 1.2× 17 320
Zohaib Khan Australia 13 60 0.9× 161 3.2× 145 3.1× 118 2.7× 21 0.6× 26 490
Haoyu Niu United States 12 112 1.8× 27 0.5× 123 2.6× 140 3.2× 45 1.4× 44 395

Countries citing papers authored by Emrullah Acar

Since Specialization
Citations

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

Fields of papers citing papers by Emrullah Acar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emrullah Acar

This figure shows the co-authorship network connecting the top 25 collaborators of Emrullah Acar. A scholar is included among the top collaborators of Emrullah Acar 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 Emrullah Acar. Emrullah Acar 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.
Acar, Emrullah, et al.. (2025). Automatic Identification of Adenoid Hypertrophy via Ensemble Deep Learning Models Employing X-ray Adenoid Images. Journal of Imaging Informatics in Medicine. 38(5). 3025–3039. 1 indexed citations
2.
3.
Türk, Ömer, et al.. (2024). A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis. Technology in Cancer Research & Treatment. 23. 2234043185–2234043185.
4.
Acar, Emrullah, et al.. (2024). Detection of Various Diseases in Fruits and Vegetables with the Help of Different Deep Learning Techniques. Balkan Journal of Electrical and Computer Engineering. 12(1). 62–67. 2 indexed citations
5.
Acar, Emrullah, et al.. (2023). Utilizing the Ensemble of Deep Learning Approaches to Identify Monkeypox Disease. DÜMF Mühendislik Dergisi. 13 indexed citations
6.
Acar, Emrullah, et al.. (2023). Identification of cotton and corn plant areas by employing deep transformer encoder approach and different time series satellite images: A case study in Diyarbakir, Turkey. Computers and Electronics in Agriculture. 209. 107838–107838. 8 indexed citations
7.
Türk, Ömer, et al.. (2023). Palmprint recognition system based on deep region of interest features with the aid of hybrid approach. Signal Image and Video Processing. 17(7). 3837–3845. 5 indexed citations
8.
9.
Türk, Ömer, et al.. (2023). Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture. Soft Computing. 28(9-10). 6607–6617. 2 indexed citations
10.
Acar, Emrullah, et al.. (2022). The Electricity Price Prediction of Victoria City Based on Various Regression Algorithms. 164–167. 7 indexed citations
11.
Türk, Ömer, et al.. (2022). Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images. Zeitschrift für Medizinische Physik. 34(2). 278–290. 15 indexed citations
12.
Ertuğrul, Ömer Faruk, et al.. (2022). Determining the most relevant frequency bands in motion identification by accelerometer sensors. Multimedia Tools and Applications. 81(8). 11639–11663. 2 indexed citations
13.
Acar, Emrullah, et al.. (2022). The statistical neural network-based regression approach for prediction of optical band gap of CuO. Indian Journal of Physics. 96(12). 3547–3557. 6 indexed citations
14.
Acar, Emrullah, et al.. (2021). Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine. Balkan Journal of Electrical and Computer Engineering. 9(1). 78–82. 5 indexed citations
15.
Ertuğrul, Ömer Faruk, et al.. (2021). Detection of Covid-19 from X-ray Images via Ensemble of Features Extraction Methods Employing Randomized Neural Networks. DergiPark (Istanbul University). 2 indexed citations
16.
Acar, Emrullah. (2020). Detection of unregistered electric distribution transformers in agricultural fields with the aid of Sentinel-1 SAR images by machine learning approaches. Computers and Electronics in Agriculture. 175. 105559–105559. 6 indexed citations
17.
Acar, Emrullah, Mehmet Siraç Özerdem, & Burak Berk Üstündağ. (2019). Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 18 indexed citations
18.
Acar, Emrullah. (2016). EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN. DergiPark (Istanbul University). 10 indexed citations
19.
Acar, Emrullah & Mehmet Siraç Özerdem. (2016). The Texture Feature Extraction of Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Texture Features. DergiPark (Istanbul University). 1(1). 1–7. 21 indexed citations
20.
Acar, Emrullah & Mehmet Siraç Özerdem. (2012). Image classification of Kiziltepe cropland by using Gabor Wavelet Transform. 1–4. 1 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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