Murat Erişoğlu
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
Papers in
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- Bayesian Methods and Mixture Models 7
- Advanced Clustering Algorithms Research 4
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- Advanced Statistical Methods and Models 6
- Statistical Distribution Estimation and Applications 5
- Fuzzy Systems and Optimization 2
- Co-authors
- Sadullah Sakallıoğlu (2 shared papers)Aşır Genç (1 shared paper)Galip Oturanç (1 shared paper)Arif Hepbaşlı (1 shared paper)Koray Ülgen (1 shared paper)Yasin Asar (2 shared papers)Hamza Erol (1 shared paper)Mohammad Arashi (1 shared paper)
In The Last Decade
Murat Erişoğlu
19 papers receiving 480 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 70
- Artificial Intelligence 146
- Statistics, Probability and Uncertainty 31
- Environmental Engineering 55
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Murat Erişoğlu
This map shows the geographic impact of Murat Erişoğlu'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 Murat Erişoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Erişoğlu more than expected).
Fields of papers citing papers by Murat Erişoğlu
This network shows the impact of papers produced by Murat Erişoğlu. 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 Murat Erişoğlu. The network helps show where Murat Erişoğlu may publish in the future.
Co-authors
The 14 scholars most cited alongside Murat Erişoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 165 | |
| 2 | 2011 | 142 | |
| 3 | 2005 | 86 | |
| 4 | 2016 | 25 | |
| 5 | 2011 | 24 | |
| 6 | 2016 | 13 | |
| 7 | 2015 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2004 | 8 | |
| 10 | 2013 | 7 | |
| 11 | Mixture Gamma Distribution for Estimation of Wind Power Potential | 2013 | 4 |
| 12 | 2011 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2021 | 1 | |
| 16 | Ridge Tahminine Dayalı Kantil Regresyon Analizinde Yanlılık Parametresi Tahminlerinin Performanslarının Karşılaştırılması | 2019 | 1 |
| 17 | 2019 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2013 | 1 |
About Murat Erişoğlu
Murat Erişoğlu is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 19 papers that have together received 510 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (5 papers), Advanced Clustering Algorithms Research (4 papers), Face and Expression Recognition (3 papers), Fuzzy Systems and Optimization (2 papers), Wind and Air Flow Studies (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Statistics and Probability (70 citations), Artificial Intelligence (146 citations), Statistics, Probability and Uncertainty (31 citations), Environmental Engineering (55 citations) and Computer Vision and Pattern Recognition (68 citations). Murat Erişoğlu has collaborated with scholars based in Türkiye and Iran. Frequent co-authors include Sadullah Sakallıoğlu, Aşır Genç, Galip Oturanç, Arif Hepbaşlı, Koray Ülgen, Yasin Asar, Hamza Erol, Mohammad Arashi, Veysel Yılmaz and Selahattin Kaçıranlar. Their work appears in journals such as Russian Geology and Geophysics, Mathematical and Computational Applications, Energy Sources, Pattern Recognition Letters and Journal of Applied Statistics.
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.