Tuğba Taşkaya Temizel

1.1k citations
45 papers · 639 · h-index 13

Impact in

Papers in

Tuğba Taşkaya Temizel

43 papers receiving 602 citations

Peers

Tuğba Taşkaya Temizel
Comparison fields: 5 of 126
  • Management Science and Operations Research 121
  • Computer Science Applications 35
  • Artificial Intelligence 186
  • Applied Psychology 25
  • Signal Processing 50
Replace Juan D. Velásquez with:
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Citations per field
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Citations per year

Countries citing papers authored by Tuğba Taşkaya Temizel

Since Specialization
Citations

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

Fields of papers citing papers by Tuğba Taşkaya Temizel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuğba Taşkaya Temizel. 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 Tuğba Taşkaya Temizel. The network helps show where Tuğba Taşkaya Temizel may publish in the future.

Co-authors

The 17 scholars most cited alongside Tuğba Taşkaya Temizel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tuğba Taşkaya Temizel Line = papers co-authored together Tuğba Taşkaya Temizel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005158
2 201761
3 201549
4
The Impact of Motivation and Personality on Academic Performance in Online and Blended Learning Environments
201845
5 202138
6 202234
7 201124
8 201722
9 201318
10 200618
11 200817
12 201616
13 202213
14 201411
15 202010
16 201810
17 20227
18 20217
19 20216
20 20216

About Tuğba Taşkaya Temizel

Tuğba Taşkaya Temizel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 45 papers that have together received 639 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (12 papers), Network Security and Intrusion Detection (6 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Malware Detection Techniques (5 papers), Online and Blended Learning (4 papers), Stock Market Forecasting Methods (4 papers), Imbalanced Data Classification Techniques (4 papers) and Impact of Technology on Adolescents (3 papers). The work is most often cited by research in Management Science and Operations Research (121 citations), Computer Science Applications (35 citations), Artificial Intelligence (186 citations), Applied Psychology (25 citations) and Signal Processing (50 citations). Tuğba Taşkaya Temizel has collaborated with scholars based in Türkiye, United Kingdom and Italy. Frequent co-authors include Şeref Sağıroğlu, Alptekin Temizel, Nazife Baykal, Khurshid Ahmad, Soner Yıldırım, P. Erhan Eren, Peter Tiňo, Mirco Musolesi, Mustafa Teke and Remzi Erdem. Their work appears in journals such as IEEE Access, Neural Networks, Technology Knowledge and Learning, Telematics and Informatics and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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