Pınar Dönmez

1.2k total citations
21 papers, 647 citations indexed

About

Pınar Dönmez is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pınar Dönmez has authored 21 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pınar Dönmez's work include Machine Learning and Algorithms (9 papers), Imbalanced Data Classification Techniques (5 papers) and Machine Learning and Data Classification (5 papers). Pınar Dönmez is often cited by papers focused on Machine Learning and Algorithms (9 papers), Imbalanced Data Classification Techniques (5 papers) and Machine Learning and Data Classification (5 papers). Pınar Dönmez collaborates with scholars based in United States, United Kingdom and Spain. Pınar Dönmez's co-authors include Jaime Carbonell, Jeff Schneider, Krysta M. Svore, Christopher J. C. Burges, Olivier Chapelle, Umut Özertem, Guy Lebanon, Krishnakumar Balasubramanian, Mounia Lalmas and Ioannis Arapakis and has published in prestigious journals such as Meat Science, Journal of Machine Learning Research and Journal of the Association for Information Science and Technology.

In The Last Decade

Pınar Dönmez

18 papers receiving 590 citations

Peers

Pınar Dönmez
Comparison fields: 5 of 67
  • Artificial Intelligence 506
  • Computer Science Applications 229
  • Information Systems 132
  • Management Science and Operations Research 92
  • Computer Vision and Pattern Recognition 87
Replace Sukriti Ramesh with:
Sukriti Ramesh Switzerland
Peng Dai United States
Xudong Liu China
Yongji Wu China
Jianhui Ma China
John M. Zelle United States
Vibhor Kant India
Sanjay Kumar Jain India
Zhankui He United States
Νικόλαος Κωνσταντίνου Greece
Sukriti Ramesh Switzerland View profile →
Citations per field, relative to Pınar Dönmez
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Citations per year, relative to Pınar Dönmez
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Countries citing papers authored by Pınar Dönmez

Since Specialization
Citations

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

Fields of papers citing papers by Pınar Dönmez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pınar Dönmez

This figure shows the co-authorship network connecting the top 25 collaborators of Pınar Dönmez. A scholar is included among the top collaborators of Pınar Dönmez 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 Pınar Dönmez. Pınar Dönmez 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
# Work Indexed citations
1 9
2 6
3 0
4 7
5
MANİSA İL MERKEZİNDEKİ HASTANELERDE GÖREV YAPAN HEMŞİRELERİN HASTA GÜVENLİĞİ KÜLTÜRÜNÜN DEĞERLENDİRİLMESİ
0
6
Introduction to Machine Learning. Cambridge, MA: The MIT Press, 2010.
0
7 10
8 6
9 47
10 6
11 4
12
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
6
13
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
21
14 74
15 161
16 69
17 3
18 162
19 44
20
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment
11

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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