Ali Kadhum Idrees

1.8k total citations
77 papers, 1.1k citations indexed

About

Ali Kadhum Idrees is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ali Kadhum Idrees has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 18 papers in Electrical and Electronic Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ali Kadhum Idrees's work include Energy Efficient Wireless Sensor Networks (46 papers), IoT and Edge/Fog Computing (30 papers) and EEG and Brain-Computer Interfaces (10 papers). Ali Kadhum Idrees is often cited by papers focused on Energy Efficient Wireless Sensor Networks (46 papers), IoT and Edge/Fog Computing (30 papers) and EEG and Brain-Computer Interfaces (10 papers). Ali Kadhum Idrees collaborates with scholars based in Iraq, France and Lebanon. Ali Kadhum Idrees's co-authors include Ali Kadhum M. Al‐Qurabat, Wathiq Laftah Al-Yaseen, Raphaël Couturier, Chady Abou Jaoude, Tara Ali‐Yahiya, Michel Salomon, Hassan Harb, Ali Jaber, Abdallah Makhoul and Dhiah Al‐Shammary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Internet of Things Journal.

In The Last Decade

Ali Kadhum Idrees

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Kadhum Idrees Iraq 21 757 322 225 166 141 77 1.1k
Ali Kadhum M. Al‐Qurabat Iraq 22 752 1.0× 463 1.4× 147 0.7× 123 0.7× 41 0.3× 53 1.1k
B. Santhi India 15 296 0.4× 238 0.7× 188 0.8× 152 0.9× 50 0.4× 70 877
Prasenjit Chanak India 20 668 0.9× 377 1.2× 128 0.6× 52 0.3× 55 0.4× 54 954
Mihai T. Lazarescu Italy 14 507 0.7× 441 1.4× 60 0.3× 97 0.6× 86 0.6× 51 967
Lijuan Sun China 15 329 0.4× 296 0.9× 122 0.5× 129 0.8× 73 0.5× 94 734
Sudhir Kumar India 15 216 0.3× 435 1.4× 116 0.5× 102 0.6× 103 0.7× 101 778
S. Vimal India 17 492 0.6× 219 0.7× 220 1.0× 79 0.5× 41 0.3× 37 844
André L. L. Aquino Brazil 14 468 0.6× 478 1.5× 84 0.4× 51 0.3× 47 0.3× 86 883
N. M. Abdul Latiff Malaysia 16 617 0.8× 479 1.5× 311 1.4× 69 0.4× 54 0.4× 82 1.1k
Farzad Samie Germany 9 423 0.6× 263 0.8× 91 0.4× 126 0.8× 50 0.4× 17 633

Countries citing papers authored by Ali Kadhum Idrees

Since Specialization
Citations

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

Fields of papers citing papers by Ali Kadhum Idrees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Kadhum Idrees. 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 Ali Kadhum Idrees. The network helps show where Ali Kadhum Idrees may publish in the future.

Co-authorship network of co-authors of Ali Kadhum Idrees

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Kadhum Idrees. A scholar is included among the top collaborators of Ali Kadhum Idrees 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 Ali Kadhum Idrees. Ali Kadhum Idrees 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
2.
Idrees, Ali Kadhum, et al.. (2024). Distributed video transmission reduction approach for energy saving in WMSNs. International Journal of Communication Systems. 37(15).
3.
Idrees, Ali Kadhum, et al.. (2024). Energy-aware scheduling protocol-based hybrid metaheuristic technique to optimize the lifespan in WSNs. The Journal of Supercomputing. 80(9). 12706–12726. 3 indexed citations
4.
Harb, Hassan, et al.. (2024). An intelligent mechanism for energy consumption scheduling in smart buildings. Cluster Computing. 27(8). 11149–11165. 2 indexed citations
5.
Idrees, Ali Kadhum, et al.. (2023). Data reduction techniques for wireless multimedia sensor networks: a systematic literature review. The Journal of Supercomputing. 80(7). 10044–10089. 3 indexed citations
6.
Idrees, Ali Kadhum, et al.. (2023). Lossless EEG data compression using clustering and encoding for fog computing based IoMT networks. International Journal of Computer Applications in Technology. 72(1). 77–83. 6 indexed citations
7.
Idrees, Ali Kadhum, et al.. (2023). Energy-efficient multisensor adaptive sampling and aggregation for patient monitoring in edge computing based IoHT networks. Journal of Ambient Intelligence and Smart Environments. 15(3). 235–253. 9 indexed citations
8.
Idrees, Ali Kadhum, et al.. (2023). A comprehensive review of electroencephalography data analytics. International Journal of Computer Applications in Technology. 71(1). 78–78.
9.
Al‐Qurabat, Ali Kadhum M., et al.. (2022). Two-level energy-efficient data reduction strategies based on SAX-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks. The Journal of Supercomputing. 78(16). 17844–17890. 30 indexed citations
10.
Al‐Qurabat, Ali Kadhum M., et al.. (2022). Maximizing the underwater wireless sensor networks’ lifespan using BTC and MNP5 compression techniques. Annals of Telecommunications. 77(9-10). 703–723. 9 indexed citations
11.
Idrees, Ali Kadhum, et al.. (2022). Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks. International Journal of Communication Systems. 35(15). 20 indexed citations
12.
Idrees, Ali Kadhum, et al.. (2022). Integrated encoding and scheduling protocol for improving the lifetime in wireless sensor networks. International Journal of Computer Applications in Technology. 69(4). 334–334. 3 indexed citations
13.
Idrees, Ali Kadhum, et al.. (2022). Integrated encoding and scheduling protocol for improving the lifetime in wireless sensor networks. International Journal of Computer Applications in Technology. 69(4). 334–334. 1 indexed citations
14.
Idrees, Ali Kadhum, et al.. (2022). Efficient Compression Technique for Reducing Transmitted EEG Data Without Loss in IoMT Networks Based on Fog Computing. SSRN Electronic Journal. 2 indexed citations
15.
Al-Yaseen, Wathiq Laftah, et al.. (2021). The Use of Modified K-Means Algorithm to Enhance the Performance of Support Vector Machine in Classifying Breast Cancer. International journal of intelligent engineering and systems. 14(2). 190–200. 7 indexed citations
16.
Al‐Qurabat, Ali Kadhum M. & Ali Kadhum Idrees. (2020). Data gathering and aggregation with selective transmission technique to optimize the lifetime of Internet of Things networks. International Journal of Communication Systems. 33(11). 33 indexed citations
17.
Al‐Qurabat, Ali Kadhum M., et al.. (2020). Compression-based Data Reduction Technique for IoT Sensor Networks. SHILAP Revista de lepidopterología. 18(1). 184–184. 28 indexed citations
18.
Idrees, Ali Kadhum & Wathiq Laftah Al-Yaseen. (2020). Distributed genetic algorithm for lifetime coverage optimisation in wireless sensor networks. International Journal of Advanced Intelligence Paradigms. 18(1). 3–3. 18 indexed citations
19.
Idrees, Ali Kadhum, et al.. (2016). Perimeter-based coverage optimization to improve lifetime in wireless sensor networks. Engineering Optimization. 48(11). 1951–1972. 1 indexed citations
20.
Idrees, Ali Kadhum, et al.. (2014). Coverage and Lifetime Optimization in Heterogeneous Energy Wireless Sensor Networks. 49–54. 15 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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