Ali Ünlü

522 total citations
38 papers, 288 citations indexed

About

Ali Ünlü is a scholar working on Artificial Intelligence, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, Ali Ünlü has authored 38 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Social Psychology. Recurrent topics in Ali Ünlü's work include Psychometric Methodologies and Testing (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Ali Ünlü is often cited by papers focused on Psychometric Methodologies and Testing (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Ali Ünlü collaborates with scholars based in Germany, Austria and United States. Ali Ünlü's co-authors include Alexander Robitzsch, Jürgen Groß, Martin Schrepp, Daniel Kasper, Ulrich Dettweiler, Waqas Ahmed Malik, Dietrich Albert, Gabriele Lauterbach, Takuya Yanagida and Perikles Simon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Journal of Statistical Software.

In The Last Decade

Ali Ünlü

35 papers receiving 264 citations

Peers

Ali Ünlü
Duanli Yan United States
Seang‐Hwane Joo United States
Louis V. DiBello United States
Heiko Rölke Germany
Timo Bechger Netherlands
Esther Kaufmann Switzerland
David J. Scrams United States
Ali Ünlü
Citations per year, relative to Ali Ünlü Ali Ünlü (= 1×) peers Chanjin Zheng

Countries citing papers authored by Ali Ünlü

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ünlü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ünlü

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

All Works

20 of 20 papers shown
1.
Ünlü, Ali. (2023). Mathematical self-determination theory I: Real representation. Journal of Mathematical Psychology. 116. 102792–102792. 4 indexed citations
2.
Ünlü, Ali. (2023). Mathematical self-determination theory II: Affine space representation. Journal of Mathematical Psychology. 116. 102793–102793. 1 indexed citations
3.
Ünlü, Ali & Martin Schrepp. (2021). Generalized inductive item tree analysis. Journal of Mathematical Psychology. 103. 102547–102547.
4.
Ünlü, Ali & Martin Schrepp. (2019). Location-Scale Matching for Approximate Quasi-Order Sampling. Frontiers in Psychology. 10. 1163–1163. 1 indexed citations
5.
Ünlü, Ali. (2019). Latent class cluster analysis. 3(10). 1 indexed citations
6.
Ünlü, Ali. (2019). Self-determination motivation theory in R: The software package SDT. 3(9). 2 indexed citations
7.
Pauly, Markus, et al.. (2018). Resampling-Based Inference Methods for Comparing Two Coefficients Alpha. Psychometrika. 83(1). 203–222. 3 indexed citations
8.
Ünlü, Ali & Martin Schrepp. (2016). Toward a Principled Sampling Theory for Quasi-Orders. Frontiers in Psychology. 7. 1656–1656. 3 indexed citations
10.
Ünlü, Ali, et al.. (2016). Computational Typologies of Multidimensional End-of-Primary-School Performance Profiles from an Educational Perspective of Large-Scale TIMSS and PIRLS Surveys. Current Issues in Comparative Education. 18(1). 6–25. 1 indexed citations
11.
Schrepp, Martin & Ali Ünlü. (2015). On the Creation of Representative Samples of Random Quasi-Orders. Frontiers in Psychology. 6. 1791–1791. 4 indexed citations
12.
Kasper, Daniel & Ali Ünlü. (2013). On the Relevance of Assumptions Associated with Classical Factor Analytic Approaches†. Frontiers in Psychology. 4. 109–109. 14 indexed citations
13.
Malik, Waqas Ahmed & Ali Ünlü. (2011). Interactive Graphics: Exemplified with Real Data Applications. Frontiers in Psychology. 2. 11–11. 5 indexed citations
14.
Ünlü, Ali. (2011). A Note on the Connection Between Knowledge Structures and Latent Class Models. Methodology. 7(2). 63–67. 10 indexed citations
16.
Ünlü, Ali, et al.. (2010). Matrices Satisfying Regular Minimality. Frontiers in Psychology. 1. 211–211. 1 indexed citations
17.
Ünlü, Ali & Takuya Yanagida. (2010). R you ready for R?: The CRAN Psychometrics Task View. British Journal of Mathematical and Statistical Psychology. 64(1). 182–186. 5 indexed citations
18.
Ünlü, Ali, et al.. (2009). Fechnerian Scaling inR: The Packagefechner. Journal of Statistical Software. 31(6). 1 indexed citations
19.
Ünlü, Ali. (2007). A note on monotone likelihood ratio of the total score variable in unidimensional item response theory. British Journal of Mathematical and Statistical Psychology. 61(1). 179–187. 11 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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