Taşkın Kavzoğlu

6.7k total citations · 3 hit papers
96 papers, 4.1k citations indexed

About

Taşkın Kavzoğlu is a scholar working on Media Technology, Ecology and Global and Planetary Change. According to data from OpenAlex, Taşkın Kavzoğlu has authored 96 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Media Technology, 30 papers in Ecology and 24 papers in Global and Planetary Change. Recurrent topics in Taşkın Kavzoğlu's work include Remote-Sensing Image Classification (36 papers), Remote Sensing in Agriculture (28 papers) and Landslides and related hazards (18 papers). Taşkın Kavzoğlu is often cited by papers focused on Remote-Sensing Image Classification (36 papers), Remote Sensing in Agriculture (28 papers) and Landslides and related hazards (18 papers). Taşkın Kavzoğlu collaborates with scholars based in Türkiye, United Kingdom and Malaysia. Taşkın Kavzoğlu's co-authors include İsmail Çölkesen, Emrehan Kutluğ Şahin, Paul M. Mather, H. Gómez, Alihan Teke, Mustafa Zahid Yıldız, Umut Güneş Sefercik, Selçuk Reis, Tahsin Yomralıoğlu and Erdal Aydın and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and International Journal of Remote Sensing.

In The Last Decade

Taşkın Kavzoğlu

88 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A kernel functions analysis for support vector machines for land cover classification

2009 557 citations Taşkın Kavzoğlu, İsmail Çölkesen profile →
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

2013 553 citations Taşkın Kavzoğlu, İsmail Çölkesen et al. profile →
Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

2022 212 citations Taşkın Kavzoğlu, Alihan Teke profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taşkın Kavzoğlu Türkiye	28	1.7k	1.6k	929	928	809	96	4.1k
Manoj K. Arora India	30	1.9k 1.1×	1.5k 0.9×	490 0.5×	1.1k 1.2×	580 0.7×	115	4.0k
Jagannath Aryal Australia	33	1.2k 0.7×	1.9k 1.1×	866 0.9×	565 0.6×	506 0.6×	124	4.0k
İsmail Çölkesen Türkiye	18	1.2k 0.7×	1.1k 0.6×	561 0.6×	573 0.6×	420 0.5×	45	2.3k
Norman Kerle Netherlands	50	2.5k 1.5×	2.6k 1.6×	1.1k 1.2×	1.6k 1.7×	1.8k 2.2×	141	7.6k
Ruiqing Niu China	29	1.7k 1.0×	1.2k 0.8×	359 0.4×	685 0.7×	253 0.3×	100	2.8k
Alexander Brenning Germany	43	2.6k 1.5×	2.5k 1.5×	1.2k 1.2×	2.5k 2.6×	178 0.2×	139	6.4k
Chang-Wook Lee South Korea	34	1.4k 0.8×	1.3k 0.8×	324 0.3×	695 0.7×	186 0.2×	174	3.7k
Shattri Mansor Malaysia	31	785 0.5×	1.7k 1.1×	670 0.7×	625 0.7×	547 0.7×	127	3.6k
Bahareh Kalantar Japan	30	894 0.5×	1.5k 0.9×	389 0.4×	331 0.4×	228 0.3×	76	3.2k

Countries citing papers authored by Taşkın Kavzoğlu

Since Specialization

Citations

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

Fields of papers citing papers by Taşkın Kavzoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taşkın Kavzoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Taşkın Kavzoğlu. A scholar is included among the top collaborators of Taşkın Kavzoğlu 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 Taşkın Kavzoğlu. Taşkın Kavzoğlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Teke, Alihan, et al.. (2025). Explainable artificial intelligence to explore the intrinsic characteristics of climatic parameters governing meteorological drought forecasting: opening the black box. Stochastic Environmental Research and Risk Assessment. 39(8). 3201–3222. 1 indexed citations

Kavzoğlu, Taşkın, et al.. (2024). Deep convolutional neural networks for ship detection using refined DOTA and TGRS-HRRSD high-resolution image datasets. Advances in Space Research. 75(2). 1871–1887. 2 indexed citations

Kavzoğlu, Taşkın, Brandt Tso, & Paul M. Mather. (2024). Classification Methods for Remotely Sensed Data. 6 indexed citations

Teke, Alihan & Taşkın Kavzoğlu. (2024). Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions. 153–182. 1 indexed citations

Teke, Alihan & Taşkın Kavzoğlu. (2024). Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses. Advances in Space Research. 74(8). 3765–3785. 11 indexed citations

Teke, Alihan & Taşkın Kavzoğlu. (2024). SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH. SHILAP Revista de lepidopterología. XLVIII-4/W9-2024. 363–370. 2 indexed citations

Karslı, Fevzi, et al.. (2024). Extraction of Water Bodies from High-Resolution Aerial and Satellite Images Using Visual Foundation Models. Sustainability. 16(7). 2995–2995. 5 indexed citations

Kavzoğlu, Taşkın, et al.. (2024). Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence. SHILAP Revista de lepidopterología. X-5-2024. 251–257. 1 indexed citations

Kavzoğlu, Taşkın, et al.. (2024). QUALITY ASSESSMENT FOR MULTI-RESOLUTION SEGMENTATION AND SEGMENT-ANYTHING MODEL USING WORLDVIEW-3 IMAGERY. SHILAP Revista de lepidopterología. XLVIII-4/W9-2024. 383–390. 3 indexed citations

10.

Sefercik, Umut Güneş, et al.. (2023). Assessing the Physical and Chemical Characteristics of Marine Mucilage Utilizing In-Situ and Remote Sensing Data (Sentinel-1, -2, -3). PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 92(4). 415–430. 3 indexed citations

11.

Kavzoğlu, Taşkın, et al.. (2023). Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey. Stochastic Environmental Research and Risk Assessment. 38(1). 51–68. 10 indexed citations

12.

Çölkesen, İsmail, et al.. (2023). Automated mucilage extraction index (AMEI): a novel spectral water index for identifying marine mucilage formations from Sentinel-2 imagery. International Journal of Remote Sensing. 44(1). 105–141. 14 indexed citations

13.

Yağcı, Ali Levent, İsmail Çölkesen, Taşkın Kavzoğlu, & Umut Güneş Sefercik. (2022). Daily monitoring of marine mucilage using the MODIS products: a case study of 2021 mucilage bloom in the Sea of Marmara, Turkey. Environmental Monitoring and Assessment. 194(3). 170–170. 26 indexed citations

14.

Kavzoğlu, Taşkın, et al.. (2021). Shared Blocks-Based Ensemble Deep Learning for Shallow Landslide Susceptibility Mapping. Remote Sensing. 13(23). 4776–4776. 36 indexed citations

15.

Kavzoğlu, Taşkın, et al.. (2020). Açık Kaynak Kodlu CBS Yazılımları ile Trafik Kaza Yoğunluk Analizleri: İstanbul Örneği. DergiPark (Istanbul University). 2(1). 1–9. 1 indexed citations

16.

Kaya, Ş., et al.. (2014). Detection of Burn Area and Severity with MODIS Satellite Images and Spatial Autocorrelation Techniques. 2014 AGU Fall Meeting. 2014. 1 indexed citations

17.

Kavzoğlu, Taşkın, et al.. (2010). Data filtering with support vector machines in geometric camera calibration. Optics Express. 18(3). 1927–1927. 11 indexed citations

18.

Kavzoğlu, Taşkın. (2008). Determination of Environmental Degradation Due to Urbanization and Industrialization in Gebze, Turkey. Environmental Engineering Science. 25(3). 429–438. 29 indexed citations

19.

Kavzoğlu, Taşkın, et al.. (2006). A case study for an Airport Information System. Redalyc (Universidad Autónoma del Estado de México). 11(1). 29–38. 1 indexed citations

20.

Kavzoğlu, Taşkın. (1999). Determining Optimum Structure for Artificial Neural Networks. 34 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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