Pakize Taylan
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Fuzzy Systems and Optimization
Papers in
-
- Advanced Statistical Methods and Models 11
- Statistical Methods and Inference 9
-
- Advanced Optimization Algorithms Research 4
- Co-authors
- Gerhard‐Wilhelm Weber (16 shared papers)İnci Batmaz (1 shared paper)Gülser Köksal (1 shared paper)Amir Beck (1 shared paper)Mehmet Serkan Çetin (1 shared paper)Süreyya Akyüz (1 shared paper)Arifah Bahar (1 shared paper)Pandian Vasant (1 shared paper)
In The Last Decade
Pakize Taylan
22 papers receiving 453 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 80
- Management Science and Operations Research 77
- Statistics, Probability and Uncertainty 35
- Numerical Analysis 23
- Modeling and Simulation 16
Countries citing papers authored by Pakize Taylan
This map shows the geographic impact of Pakize Taylan'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 Pakize Taylan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pakize Taylan more than expected).
Fields of papers citing papers by Pakize Taylan
This network shows the impact of papers produced by Pakize Taylan. 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 Pakize Taylan. The network helps show where Pakize Taylan may publish in the future.
Co-authors
The 10 scholars most cited alongside Pakize Taylan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 133 | |
| 2 | 2007 | 71 | |
| 3 | 2010 | 53 | |
| 4 | 2010 | 32 | |
| 5 | 2008 | 31 | |
| 6 | 2008 | 26 | |
| 7 | 2008 | 26 | |
| 8 | 2010 | 18 | |
| 9 | 2020 | 17 | |
| 10 | NEW APPROACHES TO REGRESSION IN FINANCIAL MATHEMATICS BY ADDITIVE MODELS | 2007 | 13 |
| 11 | 2011 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2008 | 7 | |
| 15 | 2010 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Pakize Taylan
Pakize Taylan is a scholar working on Statistics and Probability, Numerical Analysis, Control and Systems Engineering, Applied Mathematics and Computational Mechanics, having authored 23 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Statistical Methods and Inference (9 papers), Control Systems and Identification (5 papers), Statistical and numerical algorithms (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Statistics and Probability (80 citations), Management Science and Operations Research (77 citations), Statistics, Probability and Uncertainty (35 citations), Numerical Analysis (23 citations) and Modeling and Simulation (16 citations). Pakize Taylan has collaborated with scholars based in Türkiye, Poland and Germany. Frequent co-authors include Gerhard‐Wilhelm Weber, İnci Batmaz, Gülser Köksal, Amir Beck, Mehmet Serkan Çetin, Süreyya Akyüz, Arifah Bahar, Pandian Vasant, Nader Barsoum and Ersin Uysal. Their work appears in journals such as Optimization, Top, Discrete Applied Mathematics, Computers & Mathematics with Applications and Inverse Problems in Science and Engineering.
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.