Gözde Karataş

610 total citations
12 papers, 400 citations indexed

About

Gözde Karataş is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Gözde Karataş has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Gözde Karataş's work include Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (5 papers). Gözde Karataş is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Malware Detection Techniques (5 papers). Gözde Karataş collaborates with scholars based in Türkiye, United States and Czechia. Gözde Karataş's co-authors include Özgür Koray Şahingöz, Önder Demir, Akhan Akbulut and Abdül Halim Zaim and has published in prestigious journals such as IEEE Access, Journal of Advances in Information Technology and Journal of Cyber Security and Mobility.

In The Last Decade

Gözde Karataş

11 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gözde Karataş Türkiye	7	342	299	215	54	14	12	400
Esraa Saleh Alomari Iraq	7	282 0.8×	202 0.7×	187 0.9×	70 1.3×	35 2.5×	14	340
K. Sundarakantham India	6	270 0.8×	178 0.6×	129 0.6×	70 1.3×	24 1.7×	25	310
K. Simran India	3	179 0.5×	149 0.5×	121 0.6×	49 0.9×	29 2.1×	4	256
Mohamed Idhammad Morocco	7	488 1.4×	415 1.4×	301 1.4×	63 1.2×	12 0.9×	9	527
Xinjun Pei China	10	236 0.7×	186 0.6×	199 0.9×	150 2.8×	23 1.6×	23	358
Tong Anh Tuan Vietnam	7	268 0.8×	170 0.6×	178 0.8×	67 1.2×	23 1.6×	11	319
K. Munivara Prasad India	8	335 1.0×	261 0.9×	226 1.1×	74 1.4×	14 1.0×	15	402
Mustapha Belouch Morocco	8	499 1.5×	426 1.4×	308 1.4×	64 1.2×	10 0.7×	8	536
Mohammad Almseidin Jordan	10	278 0.8×	253 0.8×	217 1.0×	105 1.9×	21 1.5×	27	378
Xuan Dau Hoang Vietnam	7	298 0.9×	230 0.8×	228 1.1×	97 1.8×	8 0.6×	16	355

Countries citing papers authored by Gözde Karataş

Since Specialization

Citations

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

Fields of papers citing papers by Gözde Karataş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gözde Karataş

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Karataş, Gözde, Önder Demir, & Özgür Koray Şahingöz. (2020). Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset. IEEE Access. 8. 32150–32162. 194 indexed citations

2.

Şahingöz, Özgür Koray, et al.. (2020). Deep Learning Based Security Management of Information Systems: A Comparative Study. Journal of Advances in Information Technology. 135–142. 10 indexed citations

3.

Şahingöz, Özgür Koray, et al.. (2019). Saldırı Tespit Sistemlerinde Makine Öğrenmesi Modellerinin Karşılaştırılması. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 12(3). 1513–1525. 4 indexed citations

4.

Karataş, Gözde, et al.. (2019). Intrusion Detection Systems with Deep Learning: A Systematic Mapping Study. 1–4. 20 indexed citations

5.

Karataş, Gözde, Önder Demir, & Özgür Koray Şahingöz. (2019). A Deep Learning Based Intrusion Detection System on GPUs. Dspace Repository (Marmara Üniversitesi). 1–6. 4 indexed citations

6.

Karataş, Gözde & Akhan Akbulut. (2018). Survey on Access Control Mechanisms in Cloud Computing. Journal of Cyber Security and Mobility. 2 indexed citations

7.

Karataş, Gözde & Özgür Koray Şahingöz. (2018). Neural network based intrusion detection systems with different training functions. 1–6. 44 indexed citations

8.

Karataş, Gözde, Önder Demir, & Özgür Koray Şahingöz. (2018). Deep Learning in Intrusion Detection Systems. Dspace Repository (Marmara Üniversitesi). 113–116. 98 indexed citations

9.

Karataş, Gözde, et al.. (2018). Intrusion Detection Systems with GPU-Accelerated Deep Neural Networks and Effect of the Depth. 16. 1–8. 5 indexed citations

10.

Karataş, Gözde, et al.. (2017). Multi-tenant architectures in the cloud: A systematic mapping study. 1–4. 11 indexed citations

11.

Karataş, Gözde, et al.. (2016). Mobil Cihazlarda Güvenlik Tehditler Temel Stratejiler. DergiPark (Istanbul University). 15(30). 55–75.

12.

Karataş, Gözde. (2016). Genetic algorithm for intrusion detection system. 1341–1344. 8 indexed citations

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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