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Academician

SELÇUK DEMİR

Doçent

Bolu Abant İzzet Baysal Üniversitesi Mühendislik Fakültesi İnşaat Mühendisliği Bölümü

Research topics OpenAlex
  1. Ana Dal Mühendislik Temel Alanı
  2. Yan Dal İnşaat Mühendisliği
Keywords YÖKSİS
Articles 24 YÖKSİS 24 · OpenAlex 0 Total citations 806 h-index 12 · OpenAlex Q1 articles 14 Scopus · WoS Q1 8 Best field rank #34 / 371 Keyword · top 9.2% Co-authors 7 1 Turkish institutions

Citation impact

OpenAlex YÖKSİS articles matched in OpenAlex: 24 + YÖKSİS · co-author record: 2
h-index 12 Percentile in Türkiye: 89 #64 of 1,066 at their university by h-index
i10-index
12
Total citations
806
Top 6.6% in Türkiye
Per article
31.0
FWCI
3.90
1.00 = world average
World top 1%
4
World top 10%
10

Most cited articles

  1. An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost 2023 world top 1% 198 citations
  2. Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost 2023 world top 1% 133 citations
  3. Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing 2022 world top 1% 131 citations
How is this computed?

h-index and citations are computed from the citation counts of this academic’s YÖKSİS articles matched in OpenAlex (not Google Scholar, WoS or Scopus). Unmatched articles are not included. 2 articles (13 citations) tagged with this academic’s YÖK author id in co-authors’ YÖKSİS records count only towards citations, h-index and i10; article counts, percentiles and rankings use their own YÖKSİS list. h-index on the OpenAlex author profile: 12.

Field ranking

YÖKSİS ?
Keyword rankings 3

Collaboration network

From the author lists of YÖKSİS publication records. Duplicate records of a work count once; institutions are co-authors’ current YÖKSİS affiliations.

Co-authors
7
With an akaturk profile
4
Turkish institutions
1
Co-authored works
%88

Academic co-authors 4

  1. EMREHAN KUTLUĞ ŞAHİN Doçent · Bolu Abant İzzet Baysal Üniversitesi same university 15
  2. PELİN ÖZENER Profesör · Yıldız Teknik Üniversitesi 6
  3. AHMET DEMİR Doçent · Bolu Abant İzzet Baysal Üniversitesi same university 3
  4. ABDULMUTTALİP ARİ Araştırma Görevlisi · Yıldız Teknik Üniversitesi 1

National collaboration 1 institutions

Within own university15 joint works · Bolu Abant İzzet Baysal Üniversitesi

  1. Yıldız Teknik Üniversitesi 6 works · 2 academics

Other co-authors (incl. international) 3

MUSTAFA KİRKİTMehmet Serhan DuzceMert Öztürk

Authors without an akaturk profile (international researchers, retired or former academics, students, clinicians) are grouped by name spelling; short forms such as “Gulluce M.” join the single full name they match.

Indexes and citation percentiles

?
TR Index 5 articles
OpenAlex citation percentile
Top 1%4
Top 10%10
Avg · n 24 %75.4
Other counts

Scopus (SJR)

  • YÖKSİS rows 20

WoS (JCR)

  • YÖKSİS rows 20

Articles

Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.

24articles

Journals with publications

20 journals

Narrow down

Scopus (SJR)
Q114 Q24 Q31 Q41
WoS (JCR)
Q18 Q27 Q34 Q41
TR Index
5articles

Article list

  1. 2025 Geoscience in the Era of Generative Artificial Intelligence (Geo[AI]-LSM): Understanding the Potential Benefits of Google Gemini in Producing Landslide Susceptibility Mapping ADVANCES IN SPACE RESEARCH DOI 10.1016/j.asr.2025.11.048 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 91.3%
  2. 2025 CatGrass: a feature engineering framework to forecast the seismic response of low-rise RC frames using CatBoost algorithm integrated with grasshopper optimization Neural Computing and Applications DOI 10.1007/s00521-025-11387-z YÖKSİS SJR Q1 JCR Q2 OpenAlex 82.5%
  3. 2025 Machine Learning Based Prediction of Peak Floor Acceleration in Low- to Mid-Rise RC Buildings Using Ground Motion Intensity Measures Iranian Journal of Science and Technology, Transactions of Civil Engineering DOI 10.1007/s40996-025-02006-x YÖKSİS SJR Q2 JCR Q3 OpenAlex 61.0%
  4. 2025 An innovative machine learning approach for slope stability prediction by combining SHAP interpretability and stacking ensemble learning Environmental Science and Pollution Research DOI 10.1007/s11356-025-36406-3 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%
  5. 2024 Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames STRUCTURES DOI 10.1016/j.istruc.2024.106524 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.7%
  6. 2024 The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction Stochastic Environmental Research and Risk Assessment DOI 10.1007/s00477-024-02745-9 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.1%
  7. 2023 Application of State-of-the-Art Machine Learning Algorithms for Slope Stability Prediction by Handling Outliers of the Dataset Earth Science Informatics DOI 10.1007/s12145-023-01059-8 YÖKSİS SJR Q2 JCR Q2 OpenAlex top 10% OpenAlex 93.6%
  8. 2023 An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost Neural Computing and Applications DOI 10.1007/s00521-022-07856-4 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.8%
  9. 2023 Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost Acta Geotechnica DOI 10.1007/s11440-022-01777-1 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%
  10. 2023 Examining the Role of Liquefiable Layer Thickness and Depth on the Seismic Lateral Response of Piles through Numerical Analyses International Journal of Geomechanics DOI 10.1061/IJGNAI.GMENG-8143 YÖKSİS SJR Q1 JCR Q2 OpenAlex 66.1%
  11. 2023 Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential Engineering Applications of Artificial Intelligence DOI 10.1016/j.engappai.2022.105732 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 95.5%
  12. 2023 Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil Periodica Polytechnica Civil Engineering DOI 10.3311/PPci.19683 YÖKSİS SJR Q3 JCR Q3 OpenAlex 63.1%
  13. 2023 Assessing the predictive capability of DeepBoost machine learning algorithm powered by hyperparameter tuning methods for slope stability prediction Environmental Earth Sciences DOI 10.1007/s12665-023-11247-w YÖKSİS SJR Q2 JCR Q2 OpenAlex 74.4%
  14. 2022 Effect of shear strain compatibility and incompatibility approaches in the design of high modulus columns against liquefaction: A case study in Christchurch, New Zealand Bulletin of Earthquake Engineering DOI 10.1007/s10518-022-01427-7 YÖKSİS SJR Q1 JCR Q1 OpenAlex 34.4%
  15. 2022 Evaluation of Oversampling Methods (OVER, SMOTE, and ROSE) in Classifying Soil Liquefaction Dataset based on SVM, RF, and Naïve Bayes Avrupa Bilim ve Teknoloji Dergisi DOI 10.31590/ejosat.1077867 YÖKSİS TR Index OpenAlex 82.0%
  16. 2022 Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing Environmental Earth Sciences DOI 10.1007/s12665-022-10578-4 YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.3%
  17. 2022 Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data Soil Dynamics and Earthquake Engineering DOI 10.1016/j.soildyn.2021.107130 YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.5%
  18. 2021 Effect of Groundwater Level on Site Response Behavior of a One-Layered Liquefiable Soil Mühendislik Bilimleri ve Tasarım Dergisi DOI 10.21923/jesd.901500 YÖKSİS TR Index OpenAlex 41.6%
  19. 2021 Numerical Assessment of the Performance of Different Constitutive Models used to Predict Liquefiable Soil Behavior International Advanced Researches and Engineering Journal DOI 10.35860/iarej.871429 YÖKSİS TR Index OpenAlex 54.6%
  20. 2021 Assessment of Feature Selection for Liquefaction Prediction Based on Recursive Feature Elimination Avrupa Bilim ve Teknoloji Dergisi DOI 10.31590/ejosat.998033 YÖKSİS TR Index OpenAlex 66.5%

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