M. Tanveer

7.4k total citations · 4 hit papers
185 papers, 5.0k citations indexed

About

M. Tanveer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, M. Tanveer has authored 185 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 103 papers in Computer Vision and Pattern Recognition and 29 papers in Neurology. Recurrent topics in M. Tanveer's work include Face and Expression Recognition (80 papers), Machine Learning and ELM (50 papers) and Brain Tumor Detection and Classification (28 papers). M. Tanveer is often cited by papers focused on Face and Expression Recognition (80 papers), Machine Learning and ELM (50 papers) and Brain Tumor Detection and Classification (28 papers). M. Tanveer collaborates with scholars based in India, Australia and Singapore. M. Tanveer's co-authors include M. A. Ganaie, Bharat Richhariya, Ponnuthurai Nagaratnam Suganthan, Ashraf Haroon Rashid, Chin‐Teng Lin, Tripti Goel, A. K. Malik, Imran Razzak, Rahul Sharma and R. Murugan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

M. Tanveer

178 papers receiving 4.9k 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.

Random vector functional link neural network based ensemble deep learning

2021 196 citations Ponnuthurai Nagaratnam Suganthan, M. Tanveer et al. Pattern Recognition profile →
Comprehensive review on twin support vector machines

2022 171 citations M. Tanveer, Reshma Rastogi et al. profile →
Random vector functional link network: Recent developments, applications, and future directions

2023 103 citations A. K. Malik, M. A. Ganaie et al. Applied Soft Computing profile →
Deep learning for brain age estimation: A systematic review

2023 84 citations M. Tanveer, M. A. Ganaie et al. profile →

Peers

Countries citing papers authored by M. Tanveer

Since Specialization

Citations

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

Fields of papers citing papers by M. Tanveer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tanveer

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tanveer. A scholar is included among the top collaborators of M. Tanveer 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 M. Tanveer. M. Tanveer 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

#	Work	Indexed citations
1	Towards one-shot federated learning: Advances, challenges, and future directions 2025 ·Neurocomputing ·Flora Amato, (unknown), M. Tanveer, Salvatore Cuomo, (unknown), Fabio Giampaolo, Francesco Piccialli	0
2	Towards robust and inversion-free randomized neural networks: The XG-RVFL framework 2025 ·Pattern Recognition ·(unknown), (unknown), (unknown), (unknown), Mohd. Arshad, Ponnuthurai Nagaratnam Suganthan, M. Tanveer	0
3	Intuitionistic fuzzy generalized eigenvalue proximal support vector machine 2024 ·Neurocomputing ·(unknown), M. A. Ganaie, M. Tanveer	10
4	LSTSVR+: Least square twin support vector regression with privileged information 2024 ·Engineering Applications of Artificial Intelligence ·(unknown), M. Tanveer	1
5	An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier 2024 ·Applied Soft Computing ·(unknown), Tripti Goel, M. Tanveer, R. Murugan	3
6	Diagnosis of breast cancer using flexible pinball loss support vector machine 2024 ·Applied Soft Computing ·(unknown), (unknown), M. Tanveer, Mohd. Arshad	10
7	Granular Ball Twin Support Vector Machine 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), (unknown), M. Tanveer	4
8	GRA: Graph Representation Alignment for Semi-Supervised Action Recognition 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Kuan-Hung Huang, (unknown), (unknown), Kai‐Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak	2
9	Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications 2024 ·IEEE Transactions on Fuzzy Systems ·(unknown), M. Tanveer, Chin‐Teng Lin	1
10	Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System 2024 ·IEEE Transactions on Fuzzy Systems ·(unknown), M. Tanveer, Ponnuthurai Nagaratnam Suganthan	9
11	Ensemble deep learning in speech signal tasks: A review 2023 ·Neurocomputing ·M. Tanveer, (unknown), (unknown), M. A. Ganaie, A. K. Malik, Javier Del Ser, Chin‐Teng Lin	22
12	Universum twin support vector machine with truncated pinball loss 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), M. Tanveer	8
13	Neural Information Processing 2023 ·Communications in computer and information science ·M. Tanveer, (unknown), Seiichi Ozawa, Asif Ekbal, Adam Jatowt	1
14	Neural Information Processing 2023 ·Lecture notes in computer science ·M. Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt	0
15	Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling 2023 ·Applied Soft Computing ·(unknown), Saiyed Umer, Ranjeet Kumar Rout, M. Tanveer	44
16	IoT-Enabled Multimodal Biometric Recognition System in Secure Environment 2023 ·IEEE Internet of Things Journal ·Saiyed Umer, (unknown), Ranjeet Kumar Rout, M. Tanveer, Imran Razzak	5
17	A Secure Face Recognition for IoT-enabled Healthcare System 2022 ·ACM Transactions on Sensor Networks ·(unknown), Saiyed Umer, Ranjeet Kumar Rout, Shuihua Wang‎, M. Tanveer	13
18	Advanced machine learning algorithms for biomedical data and imaging 2021 ·Multimedia Tools and Applications ·M. Tanveer, Reshma Rastogi, Chin‐Teng Lin	1
19	Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance 2021 ·IEEE Access ·Mohammad Shahid, (unknown), (unknown), Yung-Yao Chen, M. Tanveer, Khan Muhammad, Kai‐Lung Hua	37
20	Tensor decomposition for EEG signals retrieval 2019 ·UTAS Research Repository ·Zehong Cao, Yu‐Cheng Chang, Mukesh Prasad, M. Tanveer, Chin‐Teng Lin	1

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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