Abdullah Sheneamer

539 total citations
21 papers, 277 citations indexed

About

Abdullah Sheneamer is a scholar working on Information Systems, Signal Processing and Software. According to data from OpenAlex, Abdullah Sheneamer has authored 21 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 11 papers in Signal Processing and 7 papers in Software. Recurrent topics in Abdullah Sheneamer's work include Software Engineering Research (11 papers), Advanced Malware Detection Techniques (10 papers) and Software Reliability and Analysis Research (7 papers). Abdullah Sheneamer is often cited by papers focused on Software Engineering Research (11 papers), Advanced Malware Detection Techniques (10 papers) and Software Reliability and Analysis Research (7 papers). Abdullah Sheneamer collaborates with scholars based in Saudi Arabia, United States and India. Abdullah Sheneamer's co-authors include Jugal Kalita, Essa Alhazmi, Swarup Roy, Basem Assiri, C. Kishor Kumar Reddy, Mohammed Shuaib, Shadab Alam, Eshrag Refaee, Swaleha Zubair and Sultan Basudan and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Abdullah Sheneamer

18 papers receiving 271 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 Sheneamer Saudi Arabia 10 206 124 109 61 53 21 277
Kisub Kim Singapore 10 284 1.4× 166 1.3× 69 0.6× 118 1.9× 68 1.3× 28 353
Chenyang Lyu China 8 94 0.5× 96 0.8× 88 0.8× 162 2.7× 43 0.8× 26 291
Robert Tairas United States 9 278 1.3× 201 1.6× 90 0.8× 55 0.9× 43 0.8× 18 304
Foyzul Hassan United States 11 220 1.1× 133 1.1× 78 0.7× 97 1.6× 112 2.1× 32 318
Dhavleesh Rattan India 6 339 1.6× 213 1.7× 188 1.7× 92 1.5× 110 2.1× 14 410
Keisuke Hotta Japan 10 375 1.8× 280 2.3× 122 1.1× 51 0.8× 80 1.5× 30 395
Mihai Codoban United States 5 270 1.3× 117 0.9× 50 0.5× 68 1.1× 94 1.8× 8 295
Xian Zhan China 10 170 0.8× 85 0.7× 175 1.6× 87 1.4× 108 2.0× 18 299
Santiago Vidal Argentina 9 267 1.3× 182 1.5× 55 0.5× 71 1.2× 116 2.2× 26 299
Joanna C. S. Santos United States 9 170 0.8× 92 0.7× 67 0.6× 101 1.7× 52 1.0× 33 285

Countries citing papers authored by Abdullah Sheneamer

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Sheneamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Sheneamer

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Sheneamer. A scholar is included among the top collaborators of Abdullah Sheneamer 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 Sheneamer. Abdullah Sheneamer 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.
Reddy, C. Kishor Kumar, et al.. (2025). A multi-scale convolutional LSTM-dense network for robust cardiac arrhythmia classification from ECG signals. Computers in Biology and Medicine. 191. 110121–110121.
2.
Assiri, Basem & Abdullah Sheneamer. (2025). Fault tolerance in distributed systems using deep learning approaches. PLoS ONE. 20(1). e0310657–e0310657. 4 indexed citations
3.
Reddy, C. Kishor Kumar, et al.. (2024). A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery. Frontiers in Oncology. 14. 1400341–1400341. 22 indexed citations
4.
Khan, Afreen, Swaleha Zubair, Mohammed Shuaib, et al.. (2024). Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers. Frontiers in Neuroscience. 18. 1391465–1391465. 2 indexed citations
5.
Sheneamer, Abdullah, et al.. (2024). A hybrid human recognition framework using machine learning and deep neural networks. PLoS ONE. 19(6). e0300614–e0300614.
6.
Refaee, Eshrag, Abdullah Sheneamer, & Basem Assiri. (2024). A Deep-Learning-Based Approach to the Classification of Fire Types. Applied Sciences. 14(17). 7862–7862. 4 indexed citations
7.
Reddy, C. Kishor Kumar, et al.. (2024). Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices. PeerJ Computer Science. 10. e2491–e2491.
8.
Alhazmi, Essa & Abdullah Sheneamer. (2023). Early Predicting of Students Performance in Higher Education. IEEE Access. 11. 27579–27589. 31 indexed citations
9.
Alhazmi, Essa & Abdullah Sheneamer. (2023). Graph-of-Code: Semantic Clone Detection Using Graph Fingerprints. IEEE Transactions on Software Engineering. 49(8). 3972–3988. 2 indexed citations
10.
Sheneamer, Abdullah. (2021). Comparison of Deep and Traditional Learning Methods for Email Spam Filtering. International Journal of Advanced Computer Science and Applications. 12(1). 14 indexed citations
11.
Sheneamer, Abdullah. (2021). Multiple Similarity-based Features Blending for Detecting Code Clones using Consensus-Driven Classification. Expert Systems with Applications. 183. 115364–115364. 3 indexed citations
12.
Sheneamer, Abdullah, Swarup Roy, & Jugal Kalita. (2021). An Effective Semantic Code Clone Detection Framework Using Pairwise Feature Fusion. IEEE Access. 9. 84828–84844. 11 indexed citations
13.
Sheneamer, Abdullah. (2020). An Automatic Advisor for Refactoring Software Clones Based on Machine Learning. IEEE Access. 8. 124978–124988. 18 indexed citations
14.
15.
Sheneamer, Abdullah, Swarup Roy, & Jugal Kalita. (2017). A detection framework for semantic code clones and obfuscated code. Expert Systems with Applications. 97. 405–420. 32 indexed citations
16.
Sheneamer, Abdullah, et al.. (2017). Schemes for Labeling Semantic Code Clones using Machine Learning. 981–985. 8 indexed citations
17.
Sheneamer, Abdullah & Jugal Kalita. (2016). A Survey of Software Clone Detection Techniques. International Journal of Computer Applications. 137(10). 1–21. 60 indexed citations
18.
Sheneamer, Abdullah & Jugal Kalita. (2016). Semantic Clone Detection Using Machine Learning. 1024–1028. 37 indexed citations
19.
Sheneamer, Abdullah & Jugal Kalita. (2015). Code clone detection using coarse and fine-grained hybrid approaches. 472–480. 14 indexed citations
20.
Sheneamer, Abdullah, et al.. (2015). Two Approaches of Natural Numbers Sorting: TAISN and Improved Array-Indexed Algorithms. International Journal of Computer Applications. 121(8). 1–6. 1 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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