I. - Basic information

I.1 - Surname

Ünal Özpalamutcu

I.2 - Name

Deniz

I.3 - Degrees

prof., PhD.

I.4 - Year of birth

1976

I.5 - Name of the workplace

Comenius Univversity

I.6 - Address of the workplace

Odbojárov 10, 820 05 Bratislava

I.7 - Position

Professor

I.8 - E-mail address

denizunal@uniba.sk

I.10 - Name of the study field in which a person works at the university

Economics and Management

I.11 - ORCID iD

https://orcid.org/0000-0002-4095-3039

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.a - Name of the university or institution

B. Sc, MARMARA UNIVERSITY, Education Faculty-

II.b - Year

1993-1998

II.c - Study field and programme

Teaching of Mathematics- Department of Education

II.2 - Second degree of higher education

II.a - Name of the university or institution

Master, İHSAN DOĞRAMACI BİLKENT UNIVERSITY,

II.b - Year

2000-2002

II.c - Study field and programme

Science Facuty- Mathematics Department

II.3 - Third degree of higher education

II.a - Name of the university or institution

PhD, ÇUKUROVA UNIVERSITY,

II.b - Year

2003-2006

II.c - Study field and programme

Science Faculty- Statistic Department

II.4 - Associate professor

II.a - Name of the university or institution

Çukurova University

II.b - Year

2012

II.c - Study field and programme

Statistics

II.5 - Professor

II.a - Name of the university or institution

Çukurova University

II.b - Year

2021

II.c - Study field and programme

Statistics

II.6 - Doctor of Science (DrSc.)

II.a - Name of the university or institution

PhD, ÇUKUROVA UNIVERSITY,

II.b - Year

2003-2006

II.c - Study field and programme

Science Faculty- Statistic Department

III. - Current and previous employment

III.a - Occupation-position	III.b - Institution	III.c - Duration
Professor	Comenius University-Management Faculty	2024-
Professor	Çukurova University Science Faculty	2021-2023
Associative Prof.	Çukurova University Science Faculty	2012-2021
Assistant Prof.	Çukurova University Science Faculty	2008-2012
Research Assistant	Çukurova University Science Faculty	2004-2008
Research Assistant	Bilkent University -Science Faculty Math.	2000-2003

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.1.a - Name of the profile course	V.1.b - Study programme	V.1.c - Degree	V.1.d - Field of study
Mathematics-I	Comenius University-Management Faculty	I.	Economics and Management
Mathematics-II	Comenius University-Management Faculty	I.	Economics and Management

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.2 - Number of defended theses

V.5 - Overview of other courses taught in the current academic year according to study programmes

V.5.a - Name of the course	V.5.b - Study programme	V.5.c - Degree	V.5.d - Field of study
Mathematics 1	Department of Economics and Finance	I.	Economics and Management

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.a - Overall

178

VI.1.b - Over the last six years

150

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

Çığşar, B., & Ünal, D. (2026). Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging. Computational Statistics, 41(1), 17.

Çığşar, B., & Ünal, D. (2025). G-CRS model: a new generalized growth model with theory and applications. Advances in Continuous and Discrete Models, 2025(1), 146.

Ünal, D. (2010). The Effects of the Proxy Information on the Iterative Stein rule Estimator of the Disturbance Variance. Statistical Papers.

Çığşar, B., & Ünal, D. (2019). Comparison of Data Mining Classification Algorithms Determining the Default Risk. Scientific Programming, 2019, 1-8.

Ünal, D., & Yüksel, G. (2013). Comparison of the Iterative Stein Rule and the Usual Estimators of the Disturbance Variance under the Pitman Nearness Criterion in a Linear Regression Model with Proxy Variables. Communications in Statistics - Theory and Methods, 42(9), 1531-1541.

VI.3 - The most significant research/artistic/other outputs over the last six years

Advanced Mortality Dynamics (WoS SCIE / Scopus)
- Citation: Çığşar, B., & Ünal, D. (2026). Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging. Computational Statistics, 41(1), 17.
- Significance: Published in a top-tier computational statistics journal, this pioneering paper introduces a new mathematical framework for aging and mortality dynamics. It represents a highly significant contemporary contribution to applied statistical modeling.

Generalized Growth Modeling Theory (WoS SCIE / Scopus)
- Citation: Çığşar, B., & Ünal, D. (2025). G-CRS model: a new generalized growth model with theory and applications. Advances in Continuous and Discrete Models, 2025(1), 146.
- Significance: This output presents a comprehensive evaluation of a new generalized growth model. Its methodological design offers robust tools for continuous systems and holds high international benchmarking value.

Determining Consumer Default Risk (IJCEAS)

Citation: Boga, S., Çığşar, B., & Ünal, D. (2023). Determining Consumer Default Risk with Data Mining Techniques: An Empirical Analysis on Turkey. International Journal of Contemporary Economics and Administrative Sciences, 13(1), 084-100.
Significance: Focused on consumer risk modeling, this empirical study proposes an advanced credit scoring framework by deploying multiple data mining and classification algorithms on financial datasets from Turkey. It provides significant benchmarks for managing current consumer default probabilities.

Generalized Modified Levakovic Growth Function (IJAB)

Citation: Ünal, D. (2021). Generalized Modified Levakovic (GLM) Growth Function. International Journal of Aquatic Biology, 9(4), 215–222.
Significance: Focused on analytical mathematical applications in biology, this methodological research develops an improved generalized Levakovic specification designed to enhance continuous curve-fitting properties. It provides highly reliable optimization tools for modeling structural growth trajectories and biological variations within aquatic ecosystems.

Generalized Modified Levakovic Growth Function (IJAB)

Citation: Ünal, D. (2021). Generalized Modified Levakovic (GLM) Growth Function. International Journal of Aquatic Biology, 9(4), 215–222.
Significance: Focused on analytical mathematical applications in biology, this methodological research develops an improved generalized Levakovic specification designed to enhance continuous curve-fitting properties. It provides highly reliable optimization tools for modeling structural growth trajectories and biological variations within aquatic ecosystems.

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

Comparison of data mining classification algorithms determining the default risk

B Çığşar, D Ünal - Scientific Programming, 2019 - Wiley Online Library

Big data and its analysis have become a widespread practice in recent times, applicable to multiple industries. Data mining is a technique that is based on statistical applications. This…

Save Quote Number of times cited: 86 Related articles All 6 versions

URL for Citations: google.com

The effects of the proxy information on the iterative Stein-rule estimator of the disturbance variance

D Ünal - Statistical Papers, 2010 - Springer

In this paper, we investigate the performance of the iterative Stein-rule estimator of the error variance in a linear regression model when proxy variables are introduced to replace unobservable…

Save Quote Number of times cited: 6 Related articles All 3 versions

URL for Citations: google.com

Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging

B Çığşar, D Ünal - Computational Statistics, 2026 - Springer

In this paper, we introduce a new mathematical model to describe aging processes and capture the non-linear dynamics observed in modern adult mortality curves across diverse demographic populations...

Save Quote Citation Category: Category 1 (International citation registered in Web of Science / Scopus)

URL for Citations: google.com

Shrinkage Pre-test Estimator of the Univariate Normal Mean.

Yüksel, G., Billor, N., & Ünal, D. (2010) Pakistan Journal of Statistics, 26(2).

Cited In: Peer-reviewed publications focusing on pre-test strategies, computational shrinking frameworks, and mathematical parameter estimations.

Citation Category: Category 1 (International citation registered in Web of Science / Scopus).

Gompertz, logistic and brody functions to model the growth of fish species Siganus rivulatus

D Ünal, H Yeldan, E Gül, ND Ergüç, M Adiyan - Acta Biologica Turcica, 2017 - dergipark.org.tr

Mathematical modeling of growth is an important tool in fisheries science, illustrated here by modeling the growth of the Lessepsian fish species Siganus rivulatus sampled from the Northeastern Mediterranean.

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

Data Mining Classification Algorithms in Credit Risks, scientific research project supported by Higher Education Institutions,

Supported by the Higher Education Institution

Discover Life with Mathematics- Statistical literacy

Supported by the TÜBİTAK-The Scientific and Technological Research Council of Türkiye

Comparison of the Iterative Stein rule and the Usual Estimators of the Disturbance Variance under the Pitman Nearness Criterion in a Linear Regression Model with Proxy Variables

Supported by the Higher Education Institution

Examining the Conditions that will strengthen the Success of the Iterative SteinRule Estimator of The Disturbance Variance in Proxy Model

Supported by the Higher Education Institution

The Types of Annuities with Flexible Payment Premium

Supported by the Higher Education Institution

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VII.a - Activity, position	VII.b - Name of the institution, board	VII.c - Duration
Prof. Dr.	Çukurova University	2021-2023
Assoc. Prof.	Çukurova University	2008-2021
Assitant Prof.	Çukurova University	2006-2008
Research Assistant	Çukurova University	2003-2006
Research Assistant	Bilkent University	2000-2002

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts

Date of last update

2026-10-13

Name and surname:	prof. Deniz Ünal Özpalamutcu, PhD.
Document type:	Research/art/teacher profile of a person
The name of the university:	Comenius University Bratislava
The seat of the university:	Šafárikovo námestie 6, 818 06 Bratislava