Mohammad Farukh Hashmi

2.1k total citations · 1 hit paper
94 papers, 1.2k citations indexed

About

Mohammad Farukh Hashmi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Mohammad Farukh Hashmi has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 15 papers in Cognitive Neuroscience. Recurrent topics in Mohammad Farukh Hashmi's work include Video Surveillance and Tracking Methods (15 papers), EEG and Brain-Computer Interfaces (13 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Mohammad Farukh Hashmi is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), EEG and Brain-Computer Interfaces (13 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Mohammad Farukh Hashmi collaborates with scholars based in India, Denmark and South Korea. Mohammad Farukh Hashmi's co-authors include Neeraj Dhanraj Bokde, Avinash G. Keskar, Zong Woo Geem, Vijay Anand, Aditya Gupta, Abdul Wahab Hashmi, Rajesh Singh, Jin Hee Yoon, Dominik Zimon and Mamoon Rashid and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mohammad Farukh Hashmi

79 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review

2024 37 citations Mohammad Farukh Hashmi et al. Artificial Intelligence Review profile →

Peers

Mohammad Farukh Hashmi

CVPR

AI

RNMI

MT

BE

Avinash G. Keskar India

Zhitao Xiao China

Xiang Yu China

Qinghua Zhou China

Peishu Wu China

Vishnuvarthanan Govindaraj India

Yahia Said Saudi Arabia

Ajay Mittal India

Ümit Budak Türkiye

Avinash G. Keskar India

Mohammad Farukh Hashmi

482 ×0.9

CVPR

318 ×1.2

AI

229 ×0.9

RNMI

95 ×0.8

MT

115 ×1.0

BE

Citations per year, relative to Mohammad Farukh Hashmi Mohammad Farukh Hashmi (= 1×) peers Avinash G. Keskar

Countries citing papers authored by Mohammad Farukh Hashmi

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Farukh Hashmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Farukh Hashmi. 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 Mohammad Farukh Hashmi. The network helps show where Mohammad Farukh Hashmi may publish in the future.

Co-authorship network of co-authors of Mohammad Farukh Hashmi

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

All Works

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20 of 20 papers shown

1.

Kumar, G. Arun, et al.. (2025). Lw-PSCNN: Lightweight Pointwise-Separable Convolution Neural Network for ISAR Image Classification. IEEE Transactions on Instrumentation and Measurement. 74. 1–8.

2.

Hashmi, Mohammad Farukh, et al.. (2025). Deep Learning in Electromyography Signal-based Lower Limb Angle Prediction and Activity Classification. Journal of Bionic Engineering. 23(1). 274–290.

3.

Hashmi, Mohammad Farukh, et al.. (2024). An Efficient Classification and Detection of COVID-19, Pneumonia, and Tuberculosis Using Visual Attention Gated Networks. Traitement du signal. 41(6). 2973–2987.

4.

Hashmi, Mohammad Farukh, et al.. (2024). An improved empirical mode decomposition method with ensemble classifiers for analysis of multichannel EEG in BCI emotion recognition. Computer Methods in Biomechanics & Biomedical Engineering. 28(15). 2336–2359.

5.

Hashmi, Mohammad Farukh, et al.. (2024). Variational Mode Decomposition and Empirical Wavelet Transform-Based Feature Extraction and Ensemble Classifier for Lower Limb Movement Prediction With Surface Electromyography Signal. IEEE Access. 12. 55201–55217.

6.

Hashmi, Mohammad Farukh, et al.. (2024). LLANet: An Automatic Framework for Efficient Prediction of Lower Limb Activities Using sEMG Signals. IEEE Sensors Letters. 8(5). 1–4. 1 indexed citations

7.

Hashmi, Mohammad Farukh, et al.. (2024). Innovative Insights: A Review of Deep Learning Methods for Enhanced Video Compression. IEEE Access. 12. 125706–125725.

8.

Hashmi, Mohammad Farukh, et al.. (2024). Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review. Artificial Intelligence Review. 57(3). 37 indexed citations breakdown →

9.

Sahare, Parul, et al.. (2024). Skin cancer classification using non-local means denoising and sparse dictionary learning based CNN. SHILAP Revista de lepidopterología. 11(1). 6 indexed citations

10.

Hashmi, Mohammad Farukh, et al.. (2023). LDWS-net: A learnable deep wavelet scattering network for RGB salient object detection. Image and Vision Computing. 137. 104748–104748. 2 indexed citations

11.

Doriya, Rajesh, et al.. (2023). HDIEA: high dimensional color image encryption architecture using five-dimensional Gauss-logistic and Lorenz system. Connection Science. 35(1). 11 indexed citations

12.

Hashmi, Mohammad Farukh, et al.. (2023). sEMG-Based Knee Abnormality Detection Using EWT-Entropy-Ensemble Algorithm During Walking. IEEE Sensors Letters. 7(12). 1–4. 1 indexed citations

13.

Doriya, Rajesh, et al.. (2023). IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities. IEEE Access. 11. 104930–104945. 6 indexed citations

14.

Rai, Uddipak, et al.. (2023). Out-of-Hospital Cardiac Arrest during the COVID-19 Pandemic: A Systematic Review. Healthcare. 11(2). 189–189. 6 indexed citations

15.

Hashmi, Mohammad Farukh, et al.. (2022). EEG based mental task classification using arithmetic operations. 14. 516–519. 1 indexed citations

16.

Hashmi, Mohammad Farukh, et al.. (2021). GaitVision: Real‐Time Extraction of Gait Parameters Using Residual Attention Network. Complexity. 2021(1).

17.

Hashmi, Mohammad Farukh, et al.. (2021). An efficient P300 detection algorithm based on Kernel Principal Component Analysis-Support Vector Machine. Computers & Electrical Engineering. 97. 107608–107608. 11 indexed citations

18.

Hashmi, Mohammad Farukh, et al.. (2020). A cost‐effective LoRa‐based customized device for agriculture field monitoring and precision farming on IoT platform. International Journal of Communication Systems. 34(6). 16 indexed citations

19.

Hashmi, Mohammad Farukh, et al.. (2020). AccessNet: A Three Layered Visual Based Access Authentication System for Restricted Zones. 1 indexed citations

20.

Hashmi, Mohammad Farukh & Avinash G. Keskar. (2019). Fast and robust copy-move forgery detection using wavelet transforms and SURF.. The International Arab Journal of Information Technology. 16. 304–311. 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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