Zeynep Orman

1.3k total citations · 1 hit paper
46 papers, 912 citations indexed

About

Zeynep Orman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zeynep Orman has authored 46 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zeynep Orman's work include Neural Networks Stability and Synchronization (11 papers), Anomaly Detection Techniques and Applications (8 papers) and stochastic dynamics and bifurcation (7 papers). Zeynep Orman is often cited by papers focused on Neural Networks Stability and Synchronization (11 papers), Anomaly Detection Techniques and Applications (8 papers) and stochastic dynamics and bifurcation (7 papers). Zeynep Orman collaborates with scholars based in Türkiye, Iraq and India. Zeynep Orman's co-authors include Adel Sabry Eesa, Adnan Mohsin Abdulazeez Brifcani, Sabri Arik, M. Syed Ali, Muhammed Ali Aydın, Hakan Aydın, Adnan Mohsin Abdulazeez, Vineet Shekher, G. Narayanan and Hatice Nizam Ozogur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Physics Letters A.

In The Last Decade

Zeynep Orman

41 papers receiving 853 citations

Hit Papers

A novel feature-selection approach based on the cuttlefis... 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
    2014 284 citations Adel Sabry Eesa, Zeynep Orman et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeynep Orman Türkiye 16 607 469 170 164 107 46 912
Hilmi E. Egilmez United States 14 582 1.0× 282 0.6× 217 1.3× 123 0.8× 172 1.6× 25 1.0k
Sattar B. Sadkhan Iraq 16 426 0.7× 425 0.9× 213 1.3× 86 0.5× 266 2.5× 139 1.2k
Yanqing Liu China 15 267 0.4× 656 1.4× 383 2.3× 80 0.5× 85 0.8× 53 1.2k
Li Tu China 9 162 0.3× 458 1.0× 235 1.4× 34 0.2× 70 0.7× 35 706
Lianhua Chi Australia 16 133 0.2× 373 0.8× 96 0.6× 68 0.4× 38 0.4× 57 669
Xiao Yu China 13 101 0.2× 210 0.4× 64 0.4× 82 0.5× 79 0.7× 35 562
Yifeng Zhang China 15 209 0.3× 307 0.7× 60 0.4× 60 0.4× 66 0.6× 66 875
Len Hamey Australia 16 283 0.5× 494 1.1× 194 1.1× 19 0.1× 48 0.4× 61 936
Shanshan Li China 16 405 0.7× 306 0.7× 80 0.5× 70 0.4× 97 0.9× 114 928
Qiang-Sheng Hua China 18 633 1.0× 206 0.4× 63 0.4× 85 0.5× 302 2.8× 61 913

Countries citing papers authored by Zeynep Orman

Since Specialization
Citations

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

Fields of papers citing papers by Zeynep Orman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeynep Orman

This figure shows the co-authorship network connecting the top 25 collaborators of Zeynep Orman. A scholar is included among the top collaborators of Zeynep Orman 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 Orman. Zeynep Orman 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.
2.
Ozogur, Hatice Nizam & Zeynep Orman. (2024). A heuristic‐based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data. Expert Systems. 41(8). 10 indexed citations
3.
Orman, Zeynep, et al.. (2024). Hyperspectral Image Classification Using a Hybrid RNN-CNN with Enhanced Attention Mechanisms. Journal of the Indian Society of Remote Sensing. 53(2). 613–629. 4 indexed citations
4.
Ozogur, Hatice Nizam & Zeynep Orman. (2023). Sağlık Verilerinin Analizinde Veri Ön işleme Adımlarının Makine Öğrenmesi Yöntemlerinin Performansına Etkisi. DergiPark (Istanbul University). 16(1). 23–33. 1 indexed citations
5.
Orman, Zeynep, et al.. (2023). VOYAGE SPEED OPTIMIZATION USING GENETIC ALGORITHM. The International Journal of Maritime Engineering. 165(A1). 89–102.
6.
Orman, Zeynep, et al.. (2022). Comparison of Different Heuristics Integrated with Neural Networks: A Case Study for Earthquake Damage Estimation. SHILAP Revista de lepidopterología. 6(2). 265–281. 1 indexed citations
7.
Orman, Zeynep, et al.. (2022). A Comparative Study of Machine Learning Algorithms in Parkinson's Disease Diagnosis: A Review. Apple Academic Press eBooks. 13–38. 2 indexed citations
8.
Orman, Zeynep, et al.. (2021). LSTM Derin Öğrenme Yaklaşımı ile Covid-19 Pandemi Sürecinde Twitter Verilerinden Duygu Analizi. SHILAP Revista de lepidopterología. 5(2). 359–372. 4 indexed citations
9.
Orman, Zeynep, et al.. (2020). A Survey on Image Super-Resolution with Generative Adversarial Networks. 4(2). 139–154. 3 indexed citations
10.
Rasheed, Jawad, et al.. (2020). Application of Adaptive Back-Propagation Neural Networks for Parkinson’s Disease Prediction. 1–5. 26 indexed citations
11.
Orman, Zeynep, et al.. (2020). Baby Face Generation with Generative Adversarial Neural Networks: A Case Study. 4(1). 1–9. 1 indexed citations
12.
Ozogur, Hatice Nizam, et al.. (2020). Blood glucose level prediction for diabetes based on modified fuzzy time series and particle swarm optimization. Computational Intelligence. 37(1). 155–175. 7 indexed citations
13.
Şamlı, Rüya, et al.. (2019). Some generalized global stability criteria for delayed Cohen–Grossberg neural networks of neutral-type. Neural Networks. 116. 198–207. 17 indexed citations
14.
15.
Orman, Zeynep. (2018). An improved stability result for delayed Takagi–Sugeno fuzzy Cohen–Grossberg neural networks. Neural Networks. 108. 445–451. 9 indexed citations
16.
Abdulazeez, Adnan Mohsin, et al.. (2018). Dynamic Hand Gesture Recognition System for Kurdish Sign Language Using Two Lines of Features. 42–47. 22 indexed citations
17.
Eesa, Adel Sabry, Zeynep Orman, & Adnan Mohsin Abdulazeez Brifcani. (2015). A new feature selection model based on ID3 and bees algorithm for intrusion detection system. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 23. 615–622. 32 indexed citations
18.
Eesa, Adel Sabry, Adnan Mohsin Abdulazeez Brifcani, & Zeynep Orman. (2014). A New Tool For Global Optimization Problems- Cuttlefish Algorithm. Zenodo (CERN European Organization for Nuclear Research). 27 indexed citations
19.
20.
Arik, Sabri & Zeynep Orman. (2005). Global stability analysis of Cohen–Grossberg neural networks with time varying delays. Physics Letters A. 341(5-6). 410–421. 129 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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