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Academician

EMREHAN KUTLUĞ ŞAHİN

Doçent

Bolu Abant İzzet Baysal Üniversitesi Mühendislik Fakültesi İnşaat Mühendisliği Bölümü

Research topics OpenAlex
  1. Ana Dal Mühendislik Temel Alanı
  2. Yan Dal Harita Mühendisliği
Keywords YÖKSİS
Articles 32 YÖKSİS 32 · OpenAlex 0 Total citations 3,062 h-index 19 · OpenAlex Q1 articles 17 Scopus · WoS Q1 11 Best field rank #36 / 603 Side field · top 6.0% Co-authors 11 3 Turkish institutions

Citation impact

OpenAlex YÖKSİS articles matched in OpenAlex: 28 + YÖKSİS · co-author record: 1
h-index 19 Percentile in Türkiye: 97 #19 of 1,062 at their university by h-index
i10-index
21
Total citations
3,062
Top 0.8% in Türkiye
Per article
105.6
FWCI
15.52
1.00 = world average
World top 1%
13
World top 10%
21

Most cited articles

  1. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression 2014 world top 1% 721 citations
  2. Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest 2020 world top 1% 442 citations
  3. Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm 2015 world top 1% 207 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. 1 articles (12 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: 21.

Field ranking

YÖKSİS ?
Keyword rankings 1

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
11
With an akaturk profile
7
Turkish institutions
3
Co-authored works
%84

Academic co-authors 7

  1. SELÇUK DEMİR Doçent · Bolu Abant İzzet Baysal Üniversitesi same university 15
  2. İSMAİL ÇÖLKESEN Doçent · Gebze Teknik Üniversitesi 9
  3. TAŞKIN KAVZOĞLU Profesör · Gebze Teknik Üniversitesi 8
  4. AHMET DEMİR Doçent · Bolu Abant İzzet Baysal Üniversitesi same university 3
  5. ARİF ÇAĞDAŞ AYDINOĞLU Profesör · Gebze Teknik Üniversitesi 2
  6. AYKUT AKGÜN Profesör · Karadeniz Teknik Üniversitesi 1
  7. RABİA BOVKIR TONBUL Doçent · Hacettepe Üniversitesi 1

National collaboration 3 institutions

Within own university15 joint works · Bolu Abant İzzet Baysal Üniversitesi

  1. Gebze Teknik Üniversitesi 12 works · 3 academics
  2. Hacettepe Üniversitesi 1 works · 1 academics
  3. Karadeniz Teknik Üniversitesi 1 works · 1 academics

Other co-authors (incl. international) 4

CENGİZHAN İPBÜKER 2Mehmet Serhan DüzceMert ÖztürkŞüheda Semih Açmalı

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 6 articles
OpenAlex citation percentile
Top 1%13
Top 10%21
Avg · n 28 %89.9
Other counts

Scopus (SJR)

  • YÖKSİS rows 25

WoS (JCR)

  • YÖKSİS rows 26

Articles

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

32articles

Journals with publications

21 journals

Narrow down

Scopus (SJR)
Q117 Q27 Q30 Q40
WoS (JCR)
Q111 Q212 Q32 Q40
TR Index
6articles

Article list

  1. 2026 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%
  2. 2025 FastLSM-AutoML: Fast, reliable, and robust end-to-end AutoML tool for producing a landslide susceptibility map Stochastic Environmental Research and Risk Assessment DOI 10.1007/s00477-024-02855-4 YÖKSİS SJR Q1 JCR Q1 OpenAlex 87.7%
  3. 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 2 YÖKSİS records YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 91.3%
  4. 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%
  5. 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%
  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 98.0%
  7. 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%
  8. 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%
  9. 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%
  10. 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%
  11. 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%
  12. 2023 Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost Stochastic Environmental Research and Risk Assessment DOI 10.1007/s00477-022-02330-y YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.6%
  13. 2023 Random Forest Importance-Based Feature Ranking and Subset Selection for Slope Stability Assessment using the Ranger Implementation European Journal of Science and Technology DOI 10.31590/ejosat.1254337 YÖKSİS TR Index OpenAlex 80.8%
  14. 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%
  15. 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%
  16. 2022 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%
  17. 2022 Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping Geocarto International DOI 10.1080/10106049.2020.1831623 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.5%
  18. 2021 Performance analysis of advanced decision tree-based ensemble learning algorithms for landslide susceptibility mapping Geocarto International DOI 10.1080/10106049.2019.1641560 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.2%
  19. 2021 Assessment of Feature Selection for Liquefaction Prediction Based on Recursive Feature Elimination European Journal of Science and Technology DOI 10.31590/ejosat.998033 YÖKSİS TR Index OpenAlex 66.5%
  20. 2020 Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack Computers and Geosciences DOI 10.1016/j.cageo.2020.104592 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.3%

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