Zeynep Batmaz

599 citations
10 papers · 392 indexed · 1 hit paper · h-index 5
Topics
Recommender Systems and Techniques (7 papers)Privacy-Preserving Technologies in Data (4 papers)Spam and Phishing Detection (3 papers)
Partner nations
Türkiye

In The Last Decade

Zeynep Batmaz

9 papers receiving 365 citations

Hit Papers

A review on deep learning for recommender systems: challe...20182026202020232018100200300

Peers

Zeynep Batmaz
Comparison fields: 5 of 73
  • Information Systems 273
  • Artificial Intelligence 206
  • Computer Vision and Pattern Recognition 90
  • Computer Networks and Communications 51
  • Management Science and Operations Research 38
Replace Ali Yürekli with:
Ali Yürekli Türkiye
Aminu Da’u Malaysia
Benedikt Loepp Germany
Xiaowei Xu China
Jiahui Liu China
Minsung Hong South Korea
Gabriele Tolomei Italy
Ikram Amous Tunisia
Wanyu Chen China
Zeynep Batmaz relative to Ali Yürekli Türkiye Ali Yürekli's profile →
Citations per field
00.5×1.5×
Ali Yürekli · 1×
Citations per year

Countries citing papers authored by Zeynep Batmaz

Since Specialization
Citations

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

Fields of papers citing papers by Zeynep Batmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeynep Batmaz

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 24
5 22
6
A review on deep learning for recommender systems: challenges and remediesbreakdown →
330
7 1
8 1
9 6
10 5

About Zeynep Batmaz

Zeynep Batmaz is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications, having authored 10 papers that have together received 392 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Privacy-Preserving Technologies in Data (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Information Systems (273 citations), Artificial Intelligence (206 citations) and Computer Science Applications (24 citations). Zeynep Batmaz has collaborated with scholars based in Türkiye. Frequent co-authors include Cihan Kaleli, Alper Bilge, Ali Yürekli, Özgür Yılmazel and Hüseyin Polat. Their work appears in journals such as Information Sciences, Artificial Intelligence Review and Journal of Ambient Intelligence and Humanized Computing.

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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