H. Kerem Ciğizoğlu

3.9k total citations
56 papers, 3.2k citations indexed

About

H. Kerem Ciğizoğlu is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, H. Kerem Ciğizoğlu has authored 56 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 28 papers in Water Science and Technology and 17 papers in Global and Planetary Change. Recurrent topics in H. Kerem Ciğizoğlu's work include Hydrological Forecasting Using AI (37 papers), Hydrology and Watershed Management Studies (26 papers) and Energy Load and Power Forecasting (14 papers). H. Kerem Ciğizoğlu is often cited by papers focused on Hydrological Forecasting Using AI (37 papers), Hydrology and Watershed Management Studies (26 papers) and Energy Load and Power Forecasting (14 papers). H. Kerem Ciğizoğlu collaborates with scholars based in Türkiye, United Kingdom and Australia. H. Kerem Ciğizoğlu's co-authors include Murat Alp, Özgür Kişi, Turgay Partal, Hilmi Berk Çelikoğlu, M. Bayazit, Z. Fuat Toprak, Mehmet Karaca, Bihrat Önöz, Oral Yağcı and Ercan Kahya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Hydrological Processes.

In The Last Decade

H. Kerem Ciğizoğlu

56 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Kerem Ciğizoğlu Türkiye	29	2.2k	1.7k	977	535	509	56	3.2k
Mohammad Ali Ghorbani Iran	35	1.8k 0.8×	1.0k 0.6×	1.0k 1.1×	244 0.5×	448 0.9×	85	3.0k
Roohollah Noori Iran	41	2.0k 0.9×	2.2k 1.3×	874 0.9×	490 0.9×	214 0.4×	103	4.7k
Haitham Abdulmohsin Afan Malaysia	32	2.1k 1.0×	1.9k 1.1×	869 0.9×	252 0.5×	416 0.8×	71	3.5k
Ali Danandeh Mehr Türkiye	33	1.8k 0.8×	1.4k 0.9×	1.6k 1.7×	233 0.4×	416 0.8×	115	3.3k
Robert J. Abrahart United Kingdom	25	1.8k 0.8×	1.7k 1.0×	1.3k 1.3×	199 0.4×	315 0.6×	60	2.5k
Anurag Malik India	40	2.0k 0.9×	1.5k 0.9×	1.9k 1.9×	269 0.5×	436 0.9×	122	3.8k
Ahmad Sharafati Iran	32	1.5k 0.7×	1.4k 0.8×	1.4k 1.5×	437 0.8×	238 0.5×	137	3.5k
Babak Mohammadi Sweden	32	1.5k 0.7×	1.0k 0.6×	1.3k 1.3×	197 0.4×	458 0.9×	85	2.9k
Salim Heddam Algeria	39	2.5k 1.2×	2.1k 1.2×	1.1k 1.2×	207 0.4×	534 1.0×	175	4.4k
Yuk Feng Huang Malaysia	35	1.8k 0.8×	1.4k 0.9×	1.9k 2.0×	206 0.4×	443 0.9×	152	3.8k

Countries citing papers authored by H. Kerem Ciğizoğlu

Since Specialization

Citations

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

Fields of papers citing papers by H. Kerem Ciğizoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Kerem Ciğizoğlu. 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 H. Kerem Ciğizoğlu. The network helps show where H. Kerem Ciğizoğlu may publish in the future.

Co-authorship network of co-authors of H. Kerem Ciğizoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of H. Kerem Ciğizoğlu. A scholar is included among the top collaborators of H. Kerem Ciğizoğlu 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 H. Kerem Ciğizoğlu. H. Kerem Ciğizoğlu 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

Ciğizoğlu, H. Kerem, et al.. (2020). Long range lake water level estimation using artificial intelligence methods. SHILAP Revista de lepidopterología. 10(20). 1–17. 2 indexed citations

Yurtseven, Hüseyin, et al.. (2018). High accuracy monitoring system to estimate forest road surface degradation on horizontal curves. Environmental Monitoring and Assessment. 191(1). 32–32. 10 indexed citations

Akgül, Mustafa, et al.. (2017). Short term monitoring of forest road pavement degradation using terrestrial laser scanning. Measurement. 103. 283–293. 31 indexed citations

Üneş, Fatih, et al.. (2013). Estimation of dam reservoir volume fluctuations using artificial neural network and support vector regression. SHILAP Revista de lepidopterología. 10 indexed citations

Ciğizoğlu, H. Kerem, et al.. (2012). The analysis of 2004 flood on Kozdere Stream in Istanbul. Natural Hazards. 63(2). 461–477. 39 indexed citations

Ciğizoğlu, H. Kerem, et al.. (2010). Homogeneity analysis of Turkish meteorological data set. Hydrological Processes. 24(8). 981–992. 79 indexed citations

Toprak, Z. Fuat, Ebru Eriş, Necati Ağıralioğlu, et al.. (2009). Modeling Monthly Mean Flow in a Poorly Gauged Basin by Fuzzy Logic. CLEAN - Soil Air Water. 37(7). 555–564. 20 indexed citations

Toprak, Z. Fuat & H. Kerem Ciğizoğlu. (2008). Predicting longitudinal dispersion coefficient in natural streams by artificial intelligence methods. Hydrological Processes. 22(20). 4106–4129. 82 indexed citations

Tatlıer, Melkon, et al.. (2007). Coatings of Na-aluminosilicate zeolites prepared using predictions from an artificial neural network method. Journal of Porous Materials. 15(4). 389–395. 6 indexed citations

10.

Çelikoğlu, Hilmi Berk & H. Kerem Ciğizoğlu. (2006). Modelling public transport trips by radial basis function neural networks. Mathematical and Computer Modelling. 45(3-4). 480–489. 36 indexed citations

11.

Yağcı, Oral, et al.. (2005). Artificial intelligence methods in breakwater damage ratio estimation. Ocean Engineering. 32(17-18). 2088–2106. 52 indexed citations

12.

Ciğizoğlu, H. Kerem & Murat Alp. (2005). Generalized regression neural network in modelling river sediment yield. Advances in Engineering Software. 37(2). 63–68. 295 indexed citations

13.

Alp, Murat & H. Kerem Ciğizoğlu. (2005). Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data. Environmental Modelling & Software. 22(1). 2–13. 208 indexed citations

14.

Yağcı, Oral, et al.. (2004). The stability of the antifer units used on breakwaters in case of irregular placement. Ocean Engineering. 31(8-9). 1111–1127. 15 indexed citations

15.

Ciğizoğlu, H. Kerem, et al.. (2003). Evolutionary Artificial Neural Networks in Hydrological Forecasting. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–6. 1 indexed citations

16.

Ciğizoğlu, H. Kerem. (2003). Incorporation of ARMA models into flow forecasting by artificial neural networks. Environmetrics. 14(4). 417–427. 80 indexed citations

17.

Ciğizoğlu, H. Kerem. (2002). Suspended sediment estimation and forecasting using artificial neural networks. TURKISH JOURNAL OF ENGINEERING AND ENVIRONMENTAL SCIENCES. 26(1). 16–26. 41 indexed citations

18.

Ciğizoğlu, H. Kerem. (2002). Suspended Sediment Estimation for Rivers using Artificial Neural Networks and Sediment Rating Curves. TURKISH JOURNAL OF ENGINEERING AND ENVIRONMENTAL SCIENCES. 26(1). 27–36. 45 indexed citations

19.

Ciğizoğlu, H. Kerem & M. Bayazit. (2000). A generalized seasonal model for flow duration curve. Hydrological Processes. 14(6). 1053–1067. 48 indexed citations

20.

Ciğizoğlu, H. Kerem & M. Bayazit. (1998). Application of Gamma Autoregressive Model to Analysis of Dry Periods. Journal of Hydrologic Engineering. 3(3). 218–221. 10 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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