Muhammad Arif

3.6k total citations · 1 hit paper
150 papers, 2.5k citations indexed

About

Muhammad Arif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Muhammad Arif has authored 150 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 22 papers in Control and Systems Engineering. Recurrent topics in Muhammad Arif's work include ECG Monitoring and Analysis (13 papers), Iterative Learning Control Systems (13 papers) and EEG and Brain-Computer Interfaces (11 papers). Muhammad Arif is often cited by papers focused on ECG Monitoring and Analysis (13 papers), Iterative Learning Control Systems (13 papers) and EEG and Brain-Computer Interfaces (11 papers). Muhammad Arif collaborates with scholars based in Pakistan, Saudi Arabia and Japan. Muhammad Arif's co-authors include Wajid Aziz, Fayyaz A. Afsar, Ahmed Kattan, Shahaboddin Shamshirband, Dalibor Petković, Sudheer Ch, Hikaru Inooka, Fayyaz Minhas, Kasra Mohammadi and Wen Tong Chong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Automatica.

In The Last Decade

Muhammad Arif

138 papers receiving 2.4k citations

Hit Papers

Plant Disease Detection Using Deep Convolutional Neural N... 2022 2026 2023 2024 2022 25 50 75 100
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. Plant Disease Detection Using Deep Convolutional Neural Network
    2022 109 citations Muhammad Arif et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arif Pakistan 26 571 426 414 388 333 150 2.5k
Matteo Matteucci Italy 32 722 1.3× 1.0k 2.4× 255 0.6× 644 1.7× 447 1.3× 246 4.0k
Emilio Soria‐Olivas Spain 29 654 1.1× 267 0.6× 174 0.4× 229 0.6× 255 0.8× 122 2.5k
Lars Karlsson Sweden 25 858 1.5× 590 1.4× 445 1.1× 247 0.6× 234 0.7× 116 2.9k
Hui Yang United States 29 409 0.7× 167 0.4× 546 1.3× 397 1.0× 187 0.6× 206 3.4k
S. Osowski Poland 29 793 1.4× 471 1.1× 930 2.2× 782 2.0× 784 2.4× 191 3.6k
Wisnu Jatmiko Indonesia 22 452 0.8× 535 1.3× 162 0.4× 407 1.0× 161 0.5× 226 1.9k
Ravi Sankar United States 22 757 1.3× 325 0.8× 156 0.4× 352 0.9× 672 2.0× 171 2.9k
Seán McLoone United Kingdom 33 710 1.2× 267 0.6× 227 0.5× 469 1.2× 1.3k 4.0× 269 4.7k
Fernando Morgado‐Dias Portugal 24 442 0.8× 215 0.5× 123 0.3× 464 1.2× 531 1.6× 143 2.3k
M. Shamim Kaiser Bangladesh 32 1.1k 2.0× 511 1.2× 123 0.3× 361 0.9× 550 1.7× 191 3.9k

Countries citing papers authored by Muhammad Arif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arif. A scholar is included among the top collaborators of Muhammad Arif 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 Muhammad Arif. Muhammad Arif 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.
Arif, Muhammad, et al.. (2025). A Literature Review on Model Conversion, Inference, and Learning Strategies in EdgeML with TinyML Deployment. Computers, materials & continua/Computers, materials & continua (Print). 83(1). 13–64. 1 indexed citations
2.
Arif, Muhammad. (2025). Improved machine learning modeling for predicting shear capacity of RC deep beams. Materials research proceedings. 48. 252–262. 1 indexed citations
3.
Arif, Muhammad & Yoshiyasu Takefuji. (2025). Why AI image generators cannot afford to be blind to racial bias. AI & Society. 40(7). 5555–5556.
4.
Arif, Muhammad, et al.. (2024). Data-driven models for predicting compressive strength of 3D-printed fiber-reinforced concrete using interpretable machine learning algorithms. Case Studies in Construction Materials. 21. e03935–e03935. 14 indexed citations
5.
Arif, Muhammad & Jagadish Nayak. (2024). Fine-Tuned BERT Model for Accurate Hate Speech Detection in Social Media. 406–410.
6.
Abdallah, Fahed, et al.. (2024). One-step graph-based multi-view clustering via specific and unified nonnegative embeddings. International Journal of Machine Learning and Cybernetics. 15(12). 5807–5822.
7.
Arif, Muhammad, Sami Muhaidat, Antonios Argyriou, & Paschalis C. Sofotasios. (2024). Performance of AI-Empowered Anti-Jamming Communications under Hardware Impairments. 274–279. 1 indexed citations
8.
Arif, Muhammad, et al.. (2023). Speech emotion recognition approaches: A systematic review. Speech Communication. 154. 102974–102974. 29 indexed citations
9.
Rashid, Muhammad, et al.. (2023). A Crypto Accelerator of Binary Edward Curves for Securing Low-Resource Embedded Devices. Applied Sciences. 13(15). 8633–8633. 2 indexed citations
10.
Arif, Muhammad, et al.. (2023). SAA-UNet: Spatial Attention and Attention Gate UNet for COVID-19 Pneumonia Segmentation from Computed Tomography. Diagnostics. 13(9). 1658–1658. 5 indexed citations
11.
Rashid, Muhammad, et al.. (2023). Throughput/Area-Efficient Accelerator of Elliptic Curve Point Multiplication over GF(2233) on FPGA. Electronics. 12(17). 3611–3611. 3 indexed citations
12.
Arif, Muhammad, et al.. (2023). A Systematic Literature Review on Using the Encoder-Decoder Models for Image Captioning in English and Arabic Languages. Applied Sciences. 13(19). 10894–10894. 7 indexed citations
13.
Arif, Muhammad, et al.. (2023). Human Pose Estimation Using Deep Learning: A Systematic Literature Review. SHILAP Revista de lepidopterología. 5(4). 1612–1659. 35 indexed citations
14.
Rashid, Muhammad, et al.. (2023). An Optimized Hardware Implementation of a Non-Adjacent Form Algorithm Using Radix-4 Multiplier for Binary Edwards Curves. Applied Sciences. 14(1). 54–54. 1 indexed citations
15.
Arif, Muhammad, Wasfı Shatanawi, & Yasir Nawaz. (2023). A numerical scheme for Darcy-Forchheimer flow of non-Newtonian nanofluid under the effects of convective and zero mass flux boundary conditions. Thermal Science. 27(6 Part A). 4581–4595. 3 indexed citations
16.
Javaid, Qaisar, Muhammad Arif, Munam Ali Shah, & Muhammad Nadeem. (2018). A Hybrid Technique for De-Noising Multi-Modality Medical Images by Employing Cuckoo’s Search with Curvelet Transform. Mehran University Research Journal of Engineering and Technology. 37(1). 29–48. 7 indexed citations
17.
Arif, Muhammad. (2016). PENGEMBANGAN SISTEM INFORMASI PRAKTIKUM LABORATORIUM JARINGAN KOMPUTER TEKNIK ELEKTRO. Electronic theses and dissertations (Syiah Kuala University). 1(1). 1 indexed citations
18.
Arif, Muhammad, Mohsin Bilal, Ahmed Kattan, & Sheikh Iqbal Ahamed. (2014). Better Physical Activity Classification using Smartphone Acceleration Sensor. Journal of Medical Systems. 38(9). 95–95. 74 indexed citations
19.
Arif, Muhammad & Hikaru Inooka. (1999). Iterative manual control model of human operator. Biological Cybernetics. 81(5-6). 445–455. 13 indexed citations
20.
Arif, Muhammad, Tadashi Ishihara, & Hikaru Inooka. (1997). Identification of linear time varying systems based on 2-D model. 제어로봇시스템학회 국내학술대회 논문집. 2. 1033–1036. 2 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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