Esra Akdenız

609 citations
61 papers · 392 indexed · h-index 11
Topics
Advanced Statistical Methods and Models (9 papers)Statistical Methods and Inference (6 papers)Inflammatory Biomarkers in Disease Prognosis (4 papers)
Journals
SHILAP Revista de lepidopterologíaBritish Journal Of NutritionJournal of Food Engineering

In The Last Decade

Esra Akdenız

51 papers receiving 382 citations

Peers

Esra Akdenız
Comparison fields: 5 of 100
  • Statistics and Probability 144
  • Statistics, Probability and Uncertainty 50
  • Obstetrics and Gynecology 35
  • Management Science and Operations Research 32
  • Analytical Chemistry 31
Replace Rolf Hinzmann with:
Rolf Hinzmann Germany
Tamer İnal Türkiye
Yashan Wang China
Yuanshan Wu China
Xikui Wang Canada
Sedigheh Madani Iran
Stefan Englert Germany
G Freĭtag Germany
Jochen Mau Germany
Dai Feng United States
Esra Akdenız relative to Rolf Hinzmann Germany Rolf Hinzmann's profile →
Citations per field
00.5×10×16×
Rolf Hinzmann · 1×
Citations per year

Countries citing papers authored by Esra Akdenız

Since Specialization
Citations

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

Fields of papers citing papers by Esra Akdenız

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esra Akdenız

This figure shows the co-authorship network connecting the top 25 collaborators of Esra Akdenız. A scholar is included among the top collaborators of Esra Akdenız 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 Esra Akdenız. Esra Akdenız 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
#WorkIndexed citations
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15 26
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Support Vector Machines vs Multiplicative Neuron Model Neural Network in Prediction of Bank Failures
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About Esra Akdenız

Esra Akdenız is a scholar working on Statistics and Probability, Family Practice and Obstetrics and Gynecology, having authored 61 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (6 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). The work is most often cited by research in Statistics and Probability (144 citations), Statistics, Probability and Uncertainty (50 citations) and Drug Discovery (1 citation). Esra Akdenız has collaborated with scholars based in Türkiye, United States and Iran. Frequent co-authors include Fikri Akdeniz, Wolfgang Karl Härdle, Mahdi Roozbeh, Erol Eğrioğlu, ‎M‎ohammad Arashi, Meryem Hocaoğlu, Eren Baş, Ufuk Yolcu, Basri Çakıroğlu and Ali Turgut. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal Of Nutrition and Journal of Food 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.

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