Abdullah Talha Kabakuş

727 total citations
33 papers, 501 citations indexed

About

Abdullah Talha Kabakuş is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Abdullah Talha Kabakuş has authored 33 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 14 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Abdullah Talha Kabakuş's work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Spam and Phishing Detection (6 papers). Abdullah Talha Kabakuş is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Spam and Phishing Detection (6 papers). Abdullah Talha Kabakuş collaborates with scholars based in Türkiye, Kazakhstan and United Arab Emirates. Abdullah Talha Kabakuş's co-authors include İbrahim Alper Doğru, Resul Kara, Pakize Erdoğmuş, M. Fatih Adak, Mustafa Akpınar, Devrim Akgün, Aydın Çetin and Zehra Karapınar Şentürk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Abdullah Talha Kabakuş

29 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Talha Kabakuş Türkiye 10 324 321 191 152 92 33 501
Alejandro Martín Spain 13 343 1.1× 300 0.9× 194 1.0× 136 0.9× 227 2.5× 34 628
Guixin Ye China 10 329 1.0× 93 0.3× 400 2.1× 136 0.9× 128 1.4× 27 518
Michael Dietz Germany 9 358 1.1× 155 0.5× 273 1.4× 104 0.7× 195 2.1× 29 528
Diego Elias Costa Canada 12 102 0.3× 157 0.5× 326 1.7× 120 0.8× 158 1.7× 43 515
Sumit Sharma India 11 53 0.2× 120 0.4× 192 1.0× 53 0.3× 95 1.0× 27 333
Dimitrios Damopoulos Greece 12 276 0.9× 154 0.5× 293 1.5× 22 0.1× 99 1.1× 17 430
Shuai Hao United States 8 208 0.6× 168 0.5× 168 0.9× 147 1.0× 209 2.3× 21 538
Mingwei Tang China 12 80 0.2× 90 0.3× 84 0.4× 23 0.2× 274 3.0× 48 566
Venera Arnaoudova Canada 15 114 0.4× 149 0.5× 558 2.9× 268 1.8× 190 2.1× 28 658
Mohammad El‐Ramly Egypt 13 66 0.2× 114 0.4× 294 1.5× 107 0.7× 172 1.9× 31 399

Countries citing papers authored by Abdullah Talha Kabakuş

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Talha Kabakuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdullah Talha Kabakuş. 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 Abdullah Talha Kabakuş. The network helps show where Abdullah Talha Kabakuş may publish in the future.

Co-authorship network of co-authors of Abdullah Talha Kabakuş

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Talha Kabakuş. A scholar is included among the top collaborators of Abdullah Talha Kabakuş 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 Abdullah Talha Kabakuş. Abdullah Talha Kabakuş 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
1.
Kabakuş, Abdullah Talha, et al.. (2024). Towards Understanding Cat Vocalizations: A Novel Cat Sound Classification Model Based on Vision Transformers. Applied Acoustics. 226. 110218–110218. 1 indexed citations
2.
Akpınar, Mustafa, et al.. (2024). A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023). IEEE Access. 12. 171185–171204. 9 indexed citations
3.
Kabakuş, Abdullah Talha & İbrahim Alper Doğru. (2024). The Battle of Chatbot Giants: An Experimental Comparison of ChatGPT and Bard. Uluslararası mühendislik araştırma ve geliştirme dergisi. 1 indexed citations
4.
Erdoğmuş, Pakize, et al.. (2023). A Novel Gender Classification Model based on Convolutional Neural Network through Handwritten Text and Numeral. SHILAP Revista de lepidopterología. 6(3). 172–188. 1 indexed citations
5.
Kabakuş, Abdullah Talha. (2022). A novel COVID‐19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long‐short term memory on Twitter. Concurrency and Computation Practice and Experience. 34(22). e6883–e6883. 10 indexed citations
6.
Kabakuş, Abdullah Talha. (2022). A novel robust convolutional neural network for uniform resource locator classification from the view of cyber security. Concurrency and Computation Practice and Experience. 35(3). 2 indexed citations
7.
Kabakuş, Abdullah Talha & Pakize Erdoğmuş. (2022). An experimental comparison of the widely used pre‐trained deep neural networks for image classification tasks towards revealing the promise of transfer‐learning. Concurrency and Computation Practice and Experience. 34(24). 8 indexed citations
8.
9.
Kabakuş, Abdullah Talha & Pakize Erdoğmuş. (2021). A novel handwritten Turkish letter recognition model based on convolutional neural network. Concurrency and Computation Practice and Experience. 33(21). 5 indexed citations
10.
Kabakuş, Abdullah Talha. (2020). PyFER: A Facial Expression Recognizer Based on Convolutional Neural Networks. IEEE Access. 8. 142243–142249. 16 indexed citations
11.
Kabakuş, Abdullah Talha. (2020). GitHubNet: Understanding the Characteristics of GitHub Network. Journal of Web Engineering.
12.
Kabakuş, Abdullah Talha. (2020). The Data Science Met with the COVID-19: Revealing the Most Critical Measures Taken for the COVID-19 Pandemic. SHILAP Revista de lepidopterología. 3(3). 201–209. 1 indexed citations
13.
Kabakuş, Abdullah Talha. (2020). A Comparison of the State-of-the-Art Deep Learning Platforms: An Experimental Study. SHILAP Revista de lepidopterología. 3(3). 169–182. 5 indexed citations
14.
Kabakuş, Abdullah Talha, et al.. (2019). An Analysis of the Characteristics of Verified Twitter Users. SHILAP Revista de lepidopterología. 2(3). 180–186. 4 indexed citations
15.
Kabakuş, Abdullah Talha. (2019). What Static Analysis Can Utmost Offer for Android Malware Detection. Information Technology And Control. 48(2). 235–240. 24 indexed citations
16.
Kabakuş, Abdullah Talha. (2019). A Performance Comparison of SQLite and Firebase Databases from A Practical Perspective. SHILAP Revista de lepidopterología. 7(1). 314–325. 2 indexed citations
17.
Kabakuş, Abdullah Talha & Resul Kara. (2017). TwitterSentiDetector: a domain-independent Twitter sentiment analyser. INFOR Information Systems and Operational Research. 56(2). 137–162. 9 indexed citations
18.
Kabakuş, Abdullah Talha & Resul Kara. (2016). A performance evaluation of in-memory databases. Journal of King Saud University - Computer and Information Sciences. 29(4). 520–525. 40 indexed citations
19.
Kabakuş, Abdullah Talha, İbrahim Alper Doğru, & Aydın Çetin. (2015). Android kötücül yazılım tespit ve koruma sistemleri. DergiPark (Istanbul University). 3 indexed citations
20.
Kabakuş, Abdullah Talha & Resul Kara. (2015). Survey of Instant Messaging Applications Encryption Methods. DSpace - Düzce (Duzce University). 2(4). 112–117. 5 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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