Fırat Hardalaç

1.6k citations
79 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Cardiovascular Health and Disease Prevention (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Phonocardiography and Auscultation Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors

In The Last Decade

Fırat Hardalaç

72 papers receiving 1.1k citations

Hit Papers

Forecasting electricity consumption: A comparison of regr...20142026201820222014100200300

Peers

Fırat Hardalaç
Comparison fields: 5 of 146
  • Electrical and Electronic Engineering 309
  • Radiology, Nuclear Medicine and Imaging 229
  • Artificial Intelligence 198
  • Biomedical Engineering 173
  • Computer Vision and Pattern Recognition 152
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Citations per field
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Citations per year

Countries citing papers authored by Fırat Hardalaç

Since Specialization
Citations

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

Fields of papers citing papers by Fırat Hardalaç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fırat Hardalaç

This figure shows the co-authorship network connecting the top 25 collaborators of Fırat Hardalaç. A scholar is included among the top collaborators of Fırat Hardalaç 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 Fırat Hardalaç. Fırat Hardalaç 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
#WorkIndexed citations
1 6
2 1
3 6
4 0
5 3
6 0
7 15
8 6
9 49
10
Object Recognition with SIFT and MI-SIFT Methods
0
11 12
12 46
13 2
14
Yapay zeka teknikleri ve radyolojiye uygulanması
1
15
Examination of Electric Field Effects on Lipid Peroxidation and Antioxidant Enzymes by Using Multilayer Perceptron Neural Network
3
16 2
17 9
18 3
19 30
20
YAPAY SİNİR AĞLARI KULLANILARAK EMG SİNYALLERİNİN SINIFLANDIRILMASI VE NEUROPATHY KAS HASTALIĞININ TEŞHİSİ
1

About Fırat Hardalaç

Fırat Hardalaç is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Phonocardiography and Auscultation Techniques (6 papers). The work is most often cited by research in Health Informatics (47 citations), Management Science and Operations Research (125 citations) and Radiology, Nuclear Medicine and Imaging (229 citations). Fırat Hardalaç has collaborated with scholars based in Türkiye, Singapore and Australia. Frequent co-authors include M. Cengiz Taplamacıoğlu, Ertuğrul Çam, İnan Güler, Javad Rahebi, Selami Serhatlıoğlu, Halil T. Eyyuboğlu, Necaattin Barışçı, Mustafa Aydın, Tolga Tolunay and Nil Tokgöz. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

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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