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Ömer Ekmekcioğlu Assoc. Prof. Dr. İSTANBUL TEKNİK ÜNİVERSİTESİ
Publication 6 Review 5 CrossRef Cited 10 TR Dizin Cited 11
6 Publication
5 Review
10 CrossRef Cited
11 TR Dizin Cited
0000-0002-7144-2338
57211265507

Research Fields

Machine Learning Algorithms Hydrology Natural Hazards Urban Hydrology Data Mining and Knowledge Discovery Surface Water Hydrology Watershed Management Climatology

Institution

İSTANBUL TEKNİK ÜNİVERSİTESİ

Popular Publications

Drought analysis with machine learning methods
Authors: Eyyup Ensar Başakın , Ömer Ekmekçioğlu , Mehmet Özger
Published: 2019 , Pamukkale University Journal of Engineering Sciences
DOI: -
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 2363

0

1

2363

Publications

Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms
Authors: Zehra Koyuncu , Ömer Ekmekcioğlu
Published: 2024 , Journal of Natural Hazards and Environment
DOI: 10.21324/dacd.1254778
FAVORITE 0 TOTAL DOWNLOAD COUNT 2273

0

2273

Incorporating the GIS-Based Hybrid Machine Learning Applications into the Flash Flood Susceptibility Mapping
Authors: Ömer Ekmekcioğlu
Published: 2023 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.1225104
FAVORITE 0 TOTAL DOWNLOAD COUNT 810

0

810

Numerical Analysis of Leakage Flowrate Parameters in a Pipe Opening to Atmosphere
Authors: Ömer Ekmekcioğlu , Eyyup Ensar Başakın , Mehmet Özger
Published: 2021 , Duzce University Journal of Science and Technology
DOI: 10.29130/dubited.779467
FAVORITE 0 TOTAL DOWNLOAD COUNT 751

0

751

Dalgacık Bulanık Zaman Serisi Yöntemi ve Gri Tahmin Yöntemi ile Türkiye Buğday Verimi Tahmini
Authors: Eyyup Ensar Başakın , Ömer Ekmekcioğlu , Mehmet Özger , Anıl Çelik
Published: 2020 , Turkish Journal of Agricultural Research
DOI: 10.19159/tutad.685342
FAVORITE 0 TOTAL DOWNLOAD COUNT 1100

0

1100

Discharge coefficient equation to calculate the leakage from pipe networks
Authors: Ömer Ekmekcioğlu , Eyyup Ensar Başakın , Mehmet Özger
Published: 2020 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.675015
FAVORITE 0 TOTAL DOWNLOAD COUNT 5367

0

5367

Drought analysis with machine learning methods
Authors: Eyyup Ensar Başakın , Ömer Ekmekçioğlu , Mehmet Özger
Published: 2019 , Pamukkale University Journal of Engineering Sciences
DOI: -
FAVORITE 1 TOTAL DOWNLOAD COUNT 2363

1

2363

Articles published in
Duzce University Journal of Science and Technology
Duzce University Journal of Science and Technology
Journal of Natural Hazards and Environment
Journal of Natural Hazards and Environment
Journal of the Institute of Science and Technology
Journal of the Institute of Science and Technology
Pamukkale University Journal of Engineering Sciences
Pamukkale University Journal of Engineering Sciences
Turkish Journal of Agricultural Research
Turkish Journal of Agricultural Research
Editorial Board Memberships
Çevre Şehir ve İklim Dergisi
Çevre Şehir ve İklim Dergisi
Journal of Natural Hazards and Environment
Journal of Natural Hazards and Environment

Reviews

Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Çevre Şehir ve İklim Dergisi
Çevre Şehir ve İklim Dergisi
Journal of the Institute of Science and Technology
Journal of the Institute of Science and Technology

Publications

Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms
Authors: Zehra Koyuncu , Ömer Ekmekcioğlu
Published: 2024 , Journal of Natural Hazards and Environment
DOI: 10.21324/dacd.1254778
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 2273

2

0

2273

Dalgacık Bulanık Zaman Serisi Yöntemi ve Gri Tahmin Yöntemi ile Türkiye Buğday Verimi Tahmini
Authors: Eyyup Ensar Başakın , Ömer Ekmekcioğlu , Mehmet Özger , Anıl Çelik
Published: 2020 , Turkish Journal of Agricultural Research
DOI: 10.19159/tutad.685342
CITED 5 FAVORITE 0 TOTAL DOWNLOAD COUNT 1100

5

0

1100

Discharge coefficient equation to calculate the leakage from pipe networks
Authors: Ömer Ekmekcioğlu , Eyyup Ensar Başakın , Mehmet Özger
Published: 2020 , Journal of the Institute of Science and Technology
DOI: 10.21597/jist.675015
CITED 3 FAVORITE 0 TOTAL DOWNLOAD COUNT 5367

3

0

5367

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