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.
Model Selection and Akaike's Information Criterion (AIC): The General Theory and its Analytical Extensions
Countries citing papers authored by Hamparsum Bozdogan
Since
Specialization
Citations
This map shows the geographic impact of Hamparsum Bozdogan'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 Hamparsum Bozdogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamparsum Bozdogan more than expected).
Fields of papers citing papers by Hamparsum Bozdogan
This network shows the impact of papers produced by Hamparsum Bozdogan. 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 Hamparsum Bozdogan. The network helps show where Hamparsum Bozdogan may publish in the future.
Co-authorship network of co-authors of Hamparsum Bozdogan
This figure shows the co-authorship network connecting the top 25 collaborators of Hamparsum Bozdogan.
A scholar is included among the top collaborators of Hamparsum Bozdogan 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 Hamparsum Bozdogan. Hamparsum Bozdogan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bozdogan, Hamparsum, et al.. (2012). Performance of Information Complexity Criteria in Structural Equation Models with Applications. European Journal of Pure and Applied Mathematics. 5(3). 282–301.2 indexed citations
4.
Bozdogan, Hamparsum & A Howe. (2012). Misspecified Multivariate Regression Models Using the Genetic Algorithm and Information Complexity as the Fitness Function. European Journal of Pure and Applied Mathematics. 5(2). 211–249.4 indexed citations
Akbilgiç, Oğuz & Hamparsum Bozdogan. (2011). Predictive Subset Selection using Regression Trees and RBF Neural Networks Hybridized with the Genetic Algorithm. European Journal of Pure and Applied Mathematics. 4(4). 467–485.4 indexed citations
7.
Bozdogan, Hamparsum, et al.. (2010). Structural equation modeling (SEM) of categorical and mixed-data using the Novel Gifi transformations and information complexity (ICOMP) criterion. DergiPark (Istanbul University).4 indexed citations
8.
Howe, A & Hamparsum Bozdogan. (2010). Predictive Subset VAR Modeling Using the Genetic Algorithm and Information Complexity. European Journal of Pure and Applied Mathematics. 3(3). 382–405.5 indexed citations
Bozdogan, Hamparsum, et al.. (2008). Multivariate Regression Models with Power Exponential Random Errors and Subset Selection Using Genetic Algorithms With Information Complexity. European Journal of Pure and Applied Mathematics. 1(1). 4–37.11 indexed citations
11.
Liu, Zhenqiu & Hamparsum Bozdogan. (2003). RBF neural networks for classification using new Kernel functions. Neural, Parallel & Scientific Computations archive. 11(1). 41–52.1 indexed citations
12.
Bozdogan, Hamparsum, et al.. (1998). Subset selection in vector autoregressive models using the genetic algorithm with informational complexity as the fitness function. Systems Analysis Modelling Simulation. 31(1). 61–91.15 indexed citations
13.
Bozdogan, Hamparsum, et al.. (1995). The use of information-based model evaluation criteria in the GMDH algorithm. Systems Analysis Modelling Simulation. 20(1). 29–50.5 indexed citations
14.
Bozdogan, Hamparsum & Stanley L. Sclove. (1994). Multivariate statistical modeling. Kluwer Academic eBooks.15 indexed citations
15.
Bozdogan, Hamparsum & Stanley L. Sclove. (1994). Engineering and scientific applications. Kluwer Academic eBooks.4 indexed citations
16.
Bozdogan, Hamparsum & Stanley L. Sclove. (1994). Theory and methodology of time series analysis. Kluwer Academic eBooks.1 indexed citations
Bozdogan, Hamparsum. (1987). Model Selection and Akaike's Information Criterion (AIC): The General Theory and its Analytical Extensions. Psychometrika. 52(3). 345–370.3301 indexed citations breakdown →
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.