Rusdha Muharar

666 total citations
44 papers, 430 citations indexed

About

Rusdha Muharar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rusdha Muharar has authored 44 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Computer Networks and Communications and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rusdha Muharar's work include Cooperative Communication and Network Coding (16 papers), Advanced MIMO Systems Optimization (16 papers) and Infrared Thermography in Medicine (8 papers). Rusdha Muharar is often cited by papers focused on Cooperative Communication and Network Coding (16 papers), Advanced MIMO Systems Optimization (16 papers) and Infrared Thermography in Medicine (8 papers). Rusdha Muharar collaborates with scholars based in Indonesia, Australia and Malaysia. Rusdha Muharar's co-authors include Fitri Arnia, Jamie Evans, Khairul Munadi, Maimun Syukri, Mohd Asyraf Zulkifley, Biswajeet Pradhan, Yuwaldi Away, Randa Zakhour, Khairun Saddami and Melinda Melinda and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Rusdha Muharar

38 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rusdha Muharar Indonesia 8 131 110 83 80 50 44 430
Mona A. S. Ali Egypt 15 137 1.0× 16 0.1× 16 0.2× 132 1.6× 75 1.5× 25 518
Yifei Chen China 8 18 0.1× 42 0.4× 52 0.6× 45 0.6× 97 1.9× 24 367
Ch. Usha Kumari India 11 61 0.5× 76 0.7× 27 0.3× 125 1.6× 55 1.1× 43 593
Okan Erkaymaz Türkiye 9 49 0.4× 69 0.6× 29 0.3× 163 2.0× 30 0.6× 30 369
Filipe R. Cordeiro Brazil 13 60 0.5× 34 0.3× 32 0.4× 204 2.5× 156 3.1× 51 515
Alanazi Rayan Saudi Arabia 10 36 0.3× 13 0.1× 43 0.5× 85 1.1× 20 0.4× 26 301
M. Turki-Hadj Alouane Tunisia 12 22 0.2× 60 0.5× 75 0.9× 74 0.9× 125 2.5× 47 409
Yiqian Tang China 10 20 0.2× 83 0.8× 213 2.6× 86 1.1× 17 0.3× 28 436
Gunnam Suryanarayana India 9 37 0.3× 29 0.3× 27 0.3× 55 0.7× 121 2.4× 36 329
Jianhang Zhou Macao 13 45 0.3× 61 0.6× 10 0.1× 93 1.2× 116 2.3× 54 509

Countries citing papers authored by Rusdha Muharar

Since Specialization
Citations

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

Fields of papers citing papers by Rusdha Muharar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rusdha Muharar

This figure shows the co-authorship network connecting the top 25 collaborators of Rusdha Muharar. A scholar is included among the top collaborators of Rusdha Muharar 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 Rusdha Muharar. Rusdha Muharar 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.
Muharar, Rusdha, et al.. (2024). DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation. Diagnostics. 14(24). 2820–2820.
3.
Saddami, Khairun, et al.. (2024). Learning Rate Analysis for Pain Recognition Through Viola-Jones and Deep Learning Methods. SHILAP Revista de lepidopterología. 13(2). 77–83.
4.
Saddami, Khairun, et al.. (2024). Lightweight convolutional neural network (CNN) model for obesity early detection using thermal images. Digital Health. 10. 1 indexed citations
5.
Arnia, Fitri, et al.. (2024). Towards accurate Diabetic Foot Ulcer image classification: Leveraging CNN pre-trained features and extreme learning machine. Smart Health. 33. 100502–100502. 8 indexed citations
6.
Saddami, Khairun, et al.. (2023). An Improved Thermogram Dataset for Obesity Detection Research. 353–358. 1 indexed citations
7.
Munadi, Khairul, Khairun Saddami, Kahlil Muchtar, et al.. (2022). A Deep Learning Method for Early Detection of Diabetic Foot Using Decision Fusion and Thermal Images. Applied Sciences. 12(15). 7524–7524. 35 indexed citations
8.
Nasaruddin, Nasaruddin, et al.. (2022). Network Planning and Performance Analysis for 5G mmWave in Urban Areas. 258–263.
9.
Away, Yuwaldi, et al.. (2022). A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems. IEEE Access. 10. 113513–113522. 2 indexed citations
10.
Muharar, Rusdha, et al.. (2021). Implementation of LEACH Protocol for Cluster Head Selection in D2D Cooperative Communication Systems. 20. 171–175. 1 indexed citations
11.
Ramli, Marwan, et al.. (2021). Performance analysis of mAlexnet by training option and activation function tuning on parking images. IOP Conference Series Materials Science and Engineering. 1087(1). 12084–12084. 2 indexed citations
12.
Away, Yuwaldi, et al.. (2021). Development of Concise Convolutional Neural Network for Tomato Plant Disease Classification Based on Leaf Images. Journal of Physics Conference Series. 1845(1). 12009–12009. 39 indexed citations
13.
Muharar, Rusdha, et al.. (2020). A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer Detection. IEEE Access. 8. 116176–116194. 112 indexed citations
14.
Ramli, Marwan, et al.. (2020). Analysis and Comparison of Hough Transform Algorithms and Feature Detection to Find Available Parking Spaces. Journal of Physics Conference Series. 1566(1). 12092–12092. 4 indexed citations
15.
Arnia, Fitri, et al.. (2017). Effectiveness of MPEG-7 Color Features in Clothing Retrieval. Bulletin of Electrical Engineering and Informatics. 6(2). 166–173. 3 indexed citations
16.
Arnia, Fitri, et al.. (2016). Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform. SHILAP Revista de lepidopterología. 5(2). 3 indexed citations
17.
Arnia, Fitri, et al.. (2016). Pengenalan Karakter Tulisan Tangan Jawi Menggunakan Metode New Relative Context dan SVM. SHILAP Revista de lepidopterología. 5(3). 4 indexed citations
18.
Muharar, Rusdha, Randa Zakhour, & Jamie Evans. (2014). Base Station Cooperation With Feedback Optimization: A Large System Analysis. IEEE Transactions on Information Theory. 60(6). 3620–3644. 12 indexed citations
19.
Muharar, Rusdha & Jamie Evans. (2011). Downlink Beamforming with Transmit-Side Channel Correlation: A Large System Analysis. 1–5. 44 indexed citations
20.
Muharar, Rusdha & Jamie Evans. (2011). Optimal power allocation for multiuser transmit beamforming via regularized channel inversion. 1393–1397. 4 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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