Rashid Nasimov

464 total citations
18 papers, 190 citations indexed

About

Rashid Nasimov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Rashid Nasimov has authored 18 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Rashid Nasimov's work include Fire Detection and Safety Systems (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (3 papers). Rashid Nasimov is often cited by papers focused on Fire Detection and Safety Systems (3 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (3 papers). Rashid Nasimov collaborates with scholars based in Uzbekistan, South Korea and China. Rashid Nasimov's co-authors include Akmalbek Abdusalomov, Young Im Cho, Farkhod Akhmedov, Yazeed Yasin Ghadi, Inam Ullah, Izhar Ahmed Khan, Zhaoyun Sun, Muhammad Abbas Khan, Altaf Hussain and Habib Hamam and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Rashid Nasimov

16 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rashid Nasimov Uzbekistan	8	59	41	35	32	27	18	190
Mohd Aliff Malaysia	11	22 0.4×	33 0.8×	19 0.5×	46 1.4×	32 1.2×	35	348
Abdessalem Ben Abdelali Tunisia	10	22 0.4×	40 1.0×	177 5.1×	53 1.7×	18 0.7×	41	280
Geetika Aggarwal United Kingdom	11	63 1.1×	23 0.6×	84 2.4×	66 2.1×	12 0.4×	36	272
Sohaib Bin Altaf Khattak Saudi Arabia	9	83 1.4×	35 0.9×	25 0.7×	119 3.7×	22 0.8×	25	227
C. Mala India	9	82 1.4×	48 1.2×	98 2.8×	45 1.4×	4 0.1×	61	251
Rashid Nasimov Uzbekistan	7	16 0.3×	48 1.2×	105 3.0×	18 0.6×	29 1.1×	15	279
Finney Daniel Shadrach India	9	33 0.6×	44 1.1×	36 1.0×	36 1.1×	4 0.1×	33	205
A. Jesudoss India	7	72 1.2×	63 1.5×	42 1.2×	86 2.7×	2 0.1×	28	260
B. Perumal India	10	69 1.2×	62 1.5×	98 2.8×	42 1.3×	4 0.1×	50	247
Abid Ali Minhas Pakistan	13	278 4.7×	32 0.8×	25 0.7×	189 5.9×	15 0.6×	59	394

Countries citing papers authored by Rashid Nasimov

Since Specialization

Citations

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

Fields of papers citing papers by Rashid Nasimov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Nasimov

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

All Works

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18 of 18 papers shown

Umirzakova, Sabina, et al.. (2025). A Hybrid Deep Learning Model for Early Forest Fire Detection. Forests. 16(5). 863–863.

Nasimov, Rashid, et al.. (2024). GAN-Based Novel Approach for Generating Synthetic Medical Tabular Data. Bioengineering. 11(12). 1288–1288. 2 indexed citations

Nasimov, Rashid, et al.. (2024). Effective Methods of Categorical Data Encoding for Artificial Intelligence Algorithms. Mathematics. 12(16). 2553–2553. 14 indexed citations

Akhmedov, Farkhod, Rashid Nasimov, & Akmalbek Abdusalomov. (2024). Developing a Comprehensive Oil Spill Detection Model for Marine Environments. Remote Sensing. 16(16). 3080–3080. 6 indexed citations

Nasimov, Rashid, et al.. (2024). Generating and Evaluating Synthetic Medical Images. 117–122.

Abdusalomov, Akmalbek, et al.. (2024). Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency. Bioengineering. 11(12). 1179–1179. 5 indexed citations

Umirzakova, Sabina, et al.. (2024). Efficient image classification through collaborative knowledge distillation: A novel AlexNet modification approach. Heliyon. 10(14). e34376–e34376. 14 indexed citations

Nasimov, Rashid, et al.. (2024). A Novel Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model. Processes. 12(9). 1806–1806. 11 indexed citations

Akhmedov, Farkhod, Rashid Nasimov, & Akmalbek Abdusalomov. (2024). Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection. Fire. 7(9). 332–332. 10 indexed citations

10.

Abdusalomov, Akmalbek, et al.. (2024). Optimizing Smart Home Intrusion Detection With Harmony-Enhanced Extra Trees. IEEE Access. 12. 117761–117786. 6 indexed citations

11.

Abdusalomov, Akmalbek, et al.. (2024). Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique. Sensors. 24(16). 5200–5200. 4 indexed citations

12.

Nasimov, Rashid, et al.. (2023). Parallel Approaches in Deep Learning: Use Parallel Computing. 192–201. 2 indexed citations

13.

Ullah, Inam, Tamara Al Shloul, Izhar Ahmed Khan, et al.. (2023). ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks. The Journal of Supercomputing. 80(6). 7876–7905. 26 indexed citations

14.

Shah, Sayyed Mudassar, Zhaoyun Sun, Altaf Hussain, et al.. (2023). Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks. Sensors. 23(13). 6025–6025. 27 indexed citations

15.

Mukhiddinov, Mukhriddin, et al.. (2023). Parking Lot Occupancy Detection with Improved MobileNetV3. Sensors. 23(17). 7642–7642. 9 indexed citations

16.

Nasimov, Rashid, et al.. (2023). Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection. Future Internet. 15(9). 297–297. 7 indexed citations

17.

Akhmedov, Farkhod, et al.. (2023). Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety. Sensors. 23(14). 6459–6459. 40 indexed citations

18.

Abdusalomov, Akmalbek, et al.. (2023). New Approach for Generating Synthetic Medical Data to Predict Type 2 Diabetes. Bioengineering. 10(9). 1031–1031. 7 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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