1- Cığızoğlu, H. K., Bayazit.M. ”Application of the gamma
autoregressive model in the analysis of the dry periods “, Journal of
Hydrologic Engineering,ASCE, 3, 3, July, 218-221,1998.
2- Cığızoğlu, H..K., Closure for the discussion by Srinivasan and
Srinivas, Journal of Hydrologic Engineering, ASCE, 5, 1, January, 107-111, 2000.
3- Cığızoğlu, H.K., Bayazit, M., ”A generalized seasonal model for
flow duration curve”, Hydrologic Processes, 14,6, July, 1053-1067, 2000.
4- Cığızoğlu, H.K., A method based on taking the average of
probabilities to compute the flow duration curve, Nordic Hydrology, 31,3,188-207, 2000.
5- Cığızoğlu, H.K., Metcalfe, A., Adamson, P.T., Bivariate
stochastic modeling of ephemeral streamflow, Hydrologic Processes, 16, 7,
1451-1465, 2002.
6-Cığızoğlu, H.K, Suspended sediment estimation and forecasting using artificial
neural networks, Turkish Journal of Engineering & Environmental Sciences, 26,1,
15-25, 2002.
7- Cığızoğlu, H.K, Suspended sediment estimation using artificial neural networks
and sediment rating curves, Turkish Journal of Engineering & Environmental
Sciences, 26, 1, 26-35, 2002.
8- Yağcı, O., Kapdaşlı, S., Cığızoğlu, H.K, (2004) The stability of the antifer units
used on breakwaters in case of irregular placement, Ocean Engineering, 31, 11111124.
9- Cığızoğlu, H.K, Estimation, forecasting and extrapolation of
river flows by artificial neural networks, Hydrological Sciences Journal, 48(3),
349-361, 2003.
10-Cığızoğlu, H.K, Incorporation of ARMA models into flow forecasting by
artificial neural networks, Environmetrics, 14, 4, 417-427, 2003.
11- Cigizoglu, H.K. (2004) Discussion of “Performance of Neural Networks in
Daily Streamflow Forecasting” by S. Brikundavyi, R. Labib, H.T. Trung, and
J. Rousselle, ASCE J. of Hydrologic Engineering, 9(6), 556-557.
12- Cigizoglu, H.K. ”Estimation and forecasting of daily
suspended sediment data by multi layer perceptrons.”, Advances in Water
Resources, 27, 185-195, 2004.
13- Freiwan, M. and Cigizoglu, H.K.,” Prediction of total monthly rainfall in Jordan
using feed forward backpropagation method”, Fresenius Environmental Bulletin,
14 (2),142-151, 2005.
14- Cigizoglu, H.K, and Alp, M. “Rainfall-Runoff Modelling Using
Three Neural Network Methods”, Artificial Intelligence and Soft ComputingICAISC 2004 Lecture Notes in Artificial Intelligence, 3070, 166-171, 2004.
15- Cigizoglu, H.K., and Kisi, O., “Flow Prediction by three Back Propagation
Techniques Using k-fold Partitioning of Neural Network Training Data”, Nordic
Hydrology, 36(1), pp.1-16, 2005.
16- Cığızoğlu1* H.K., Bayazıt1 M., Önöz1 B. (2005),“Trends on the maximum,
Mean and low flows of Turkish rivers", Journal of Hydrometeorology,
6(3),280-290.
17- Cigizoglu, H.K. “Application of the Generalized Regression Neural
Networks to Intermittent Flow Forecasting and Estimation”, ASCE Journal of
Hydrologic Engineering 2005, 10(4), 336-341.
18- Cigizoglu, H.K. “Generalized Regression Neural Network in Monthly Flow
Forecasting”, Civil Engineering and Environmental Systems, 22 (2), 71-84, 2005.
19- Cigizoglu, H.K., and Alp, M., “Generalized Regression Neural Network in
modelling river sediment yield”, Advances in Engineering Software, 37(2),
63-68, 2006.
20- Tatlıer, M., Cigizoglu, H.K, Erdem-Şenatalar, A. Artificial neural network
methods in the estimation of zeolite molar compositions from different reaction
mixtures. Computers & Chem. Eng., 30, 137-146, 2005.
21- Cigizoglu, H.K., and Kisi, O., “Methods to improve the neural network
performance in suspended sediment estimation.”, Journal of Hydrology,
317(3-4), 221-238, 2006.
22- Yagci, O., Mercan, D., Cigizoglu, H.K., Kabdasli, S., Artificial intelligence
methods in breakwater damage ratio estimation, Ocean Engineering, 32, 20882106, 2005.
23- Tatlier, M., Cigizoglu, H.K., Erdem-Şenatalar, A., Artificial neural network
methods guiding the search of new clear solution compositions for preparing
zeolite coatings, 3rd FEZA (Federation of European Zeolite Association)
Conference (Prague, August 23-26, 2005). Studies in Surface Science and
Catalysis, 158, 359-366.
24- Alp, M., and Cigizoglu, H.K., “Suspended sediment load simulation by two
artificial neural network methods using hydrometeorological data”,
Environmental Modelling & Software 22(1) (2007) 2-13.
25- Celikoglu, H.B., and Cigizoglu, H.K., Public transportation trip flow modeling
with generalized regression neural networks, Advances in Engineering
Software, 2007, 38(2) , 71-79.
26- Celikoglu, H.B., and Cigizoglu, H.K., Modelling Public Transport Trips by
Radial Basis Function Neural Networks, Mathematical and Computer
Modelling, 45(3-4), 480–489 , (2007).
27- Kişi, O., and Cigizoglu, H.K. “Comparison of different ANN techniques in
flow prediction”, Civil Engineering and Environmental Systems, 24(3),
211–231, 2007.
28- Tatlier, M.,Cigizoglu, K.B., Cigizoglu, H.K., Erdem-Şenatalar, A.,” "Coatings
Of Na-aluminosilicate zeolites prepared using predictions from an artificial
neural network method", Journal of Porous Materials, 15 (4), 389-395, 2008.
29- Sertel, E., Cigizoglu, H.K., D. U. Sanli, “Estimating daily mean sea level
heights using artificial neural networks”, Journal of Coastal Research, 24(3),
727–734, 2008.
30- Partal, T., Cigizoglu, H.K., Estimation and forecasting of the daily suspended
sediment data using wavelet-neural networks, Journal of Hydrology,
2008, 358, 317– 331.
31-Hayir, A., Şeşeoğulları, B., Kılınç, İ., Ertürk, A., Cigizoglu, H.K., Kabdaşlı,
M.S., Yagci, O., Day, K., Scenarios of Tsunami Amplitudes in the North
Eastern Coast of Sea of Marmara Generated by Submarine Mass Failure,
Coastal Engineering, 55,333–356, (2008).
32- Kaymaz, B, Cigizoglu, H.K., Karaca, M.,” Forecast of daily mean, maximum
and minimum temperature time series by three artificial neural network
methods, Meteorological Applications, 15 (4), 431-445, 2008.
33- Coşkun, H. G., Tanık, A., Alganci, U., Cigizoglu, H.K., Determination of
Environmental Quality of a Drinking Water Reservoir by Remote Sensing,
GIS and Regression Analysis, Water, Air, & Soil Pollution, 194 (1-4), 275-285
2008.
34- Toprak, F., Cigizoglu, H.K., Predicting longitudinal dispersion coefficient in
natural streams by artificial neural networks, Hydrological Processes, 22(20),
4106-4129, 2008.
35- Partal, T., Cigizoglu, H.K., Prediction of daily precipitation using waveletneural networks, Hydrological Sciences Journal, 54(2), 234-246, 2009.
36- Gedik, N., Irtem, E., Cigizoglu, H.K., Kabdasli, M.S., Estimation of tsunami
runup using three artificial neural network methods, China Ocean Engineering,
23 (1), 85-94, 2009.
37- Toprak, Z.F., Eris, E., Agiralioglu, N., Cigizoglu, H.K., Yilmaz, L., Aksoy, H.,
Coskun, H.G., Andic, G., Alganci, U., Modeling Monthly Mean Flow in a
Poorly Gauged Basin by Fuzzy Logic, CLEAN - Soil, Air, Water, 37 (7),
555-564, 2009.
river
38- Kilinc, İ., Hayir, A., Cigizoglu, H.K., ‘’Wave Dispersion Study for Tsunami
propagation in the Sea of Marmara’’, Coastal Engineering, Coastal
Engineering, 56(9), 982-991, 2009.
39-Sahin, S., Cigizoglu, H.K., ‘’Homogeneity analysis of Turkish meteorological
data set’’, Hydrological Processes, 24(8), 981-992, 2010.
40- Celik, HE, Coskun, G ,Cigizoglu, HK, Agiralioglu, N, Aydin, A., Esin, AI,
“The analysis of 2004 flood on Kozdere Stream in Istanbul”, NATURAL
HAZARDS, 63(2),461-477, 2012.
41- Coskun, HG, Alganci, U, Eris, E, Agiralioglu, N, Cigizoglu, HK, Yilmaz, L,
Toprak, ZF, “Remote Sensing and GIS Innovation with Hydrologic Modelling
for Hydroelectric Power Plant (HPP) in Poorly Gauged Basins”, WATER
RESOURCES MANAGEMENT, 24 (14), 3757-3772, 2010.
42- Akkoyunlu, A., Altun, H., Cigizoglu, H. K., “Depth-Integrated Estimation of
Dissolved Oxygen in a Lake”, JOURNAL OF ENVIRONMENTAL
ENGINEERING-ASCE, 137 (10), 961-967, 2011.
43- Sahin, S., Cigizoglu, H. K., “The sub-climate regions and the sub-precipitation
regime regions in Turkey”, JOURNAL OF HYDROLOGY, 450, 180-189,
2012.
44- Sertel, E.; Cigizoglu, H. K.; Sanli, D. U., Reply to: Akyilmaz, O., 2010.
Discussion of: Sertel, E.; Cigizoglu, H.K., and Sanli, D.U., 2008. Estimating
Daily Mean Sea Level Heights Using Artificial Neural Networks. Journal of
Coastal Research, 24(3), 727-734; Journal of Coastal Research, 26(6), 11841184; JOURNAL OF COASTAL RESEARCH, 27 (4), 791-792, 2011.