M. A. Ganaie

3.8k total citations · 4 hit papers
40 papers, 2.4k citations indexed

About

M. A. Ganaie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, M. A. Ganaie has authored 40 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in M. A. Ganaie's work include Face and Expression Recognition (27 papers), Machine Learning and ELM (19 papers) and Neural Networks and Applications (9 papers). M. A. Ganaie is often cited by papers focused on Face and Expression Recognition (27 papers), Machine Learning and ELM (19 papers) and Neural Networks and Applications (9 papers). M. A. Ganaie collaborates with scholars based in India, Singapore and Australia. M. A. Ganaie's co-authors include Ponnuthurai Nagaratnam Suganthan, M. Tanveer, A. K. Malik, Minghui Hu, M. Tanveer, Iman Beheshti, Yuan‐Hai Shao, Reshma Rastogi, Chin‐Teng Lin and Imran Razzak and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Fuzzy Systems.

In The Last Decade

M. A. Ganaie

38 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Ensemble deep learning: A review

2022 1.2k citations M. A. Ganaie, Minghui Hu et al. Engineering Applications of Artificial Intelligence profile →
Comprehensive review on twin support vector machines

2022 171 citations M. Tanveer, M. A. Ganaie 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. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. A. Ganaie India	20	988	610	268	216	212	40	2.4k
Saad Albawi Iraq	8	753 0.8×	727 1.2×	119 0.4×	260 1.2×	273 1.3×	16	2.7k
Tareq Abed Mohammed Iraq	7	754 0.8×	708 1.2×	114 0.4×	274 1.3×	262 1.2×	18	2.7k
Saad Al-Azawi Iraq	6	733 0.7×	736 1.2×	114 0.4×	274 1.3×	266 1.3×	16	2.6k
Tao Lei China	31	906 0.9×	1.4k 2.3×	227 0.8×	182 0.8×	405 1.9×	111	3.8k
Sami Bourouis Saudi Arabia	29	845 0.9×	596 1.0×	155 0.6×	206 1.0×	249 1.2×	110	2.5k
Adi Alhudhaif Saudi Arabia	27	630 0.6×	513 0.8×	152 0.6×	222 1.0×	242 1.1×	106	2.0k
Uzair Aslam Bhatti China	32	502 0.5×	1.2k 1.9×	171 0.6×	182 0.8×	150 0.7×	170	3.2k
Zewen Li China	11	795 0.8×	725 1.2×	87 0.3×	352 1.6×	177 0.8×	30	3.1k
Samir Brahim Belhaouari Qatar	24	881 0.9×	469 0.8×	84 0.3×	247 1.1×	293 1.4×	212	2.2k

Countries citing papers authored by M. A. Ganaie

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Ganaie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Ganaie

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

Ganaie, M. A., et al.. (2025). Granular Ball K-Class Twin Support Vector Classifier. Pattern Recognition. 166. 111636–111636. 1 indexed citations

Ganaie, M. A., et al.. (2025). Ensemble deep generalized eigen-value random vector functional link network for classification problems. Computers & Electrical Engineering. 123. 110040–110040.

Ganaie, M. A., et al.. (2024). Intuitionistic fuzzy generalized eigenvalue proximal support vector machine. Neurocomputing. 608. 128258–128258. 10 indexed citations

Zafar, Aasim, et al.. (2024). Soft computing techniques in multi-criteria recommender systems: A comprehensive review. Applied Soft Computing. 169. 112579–112579. 4 indexed citations

Tanveer, M., et al.. (2023). Ensemble deep learning in speech signal tasks: A review. Neurocomputing. 550. 126436–126436. 22 indexed citations

Tanveer, M., M. A. Ganaie, Iman Beheshti, et al.. (2023). Deep learning for brain age estimation: A systematic review. Information Fusion. 96. 130–143. 84 indexed citations breakdown →

Ganaie, M. A., et al.. (2023). Diagnosis of Alzheimer’s disease via Intuitionistic fuzzy least squares twin SVM. Applied Soft Computing. 149. 110899–110899. 15 indexed citations

Ganaie, M. A., Minghui Hu, A. K. Malik, M. Tanveer, & Ponnuthurai Nagaratnam Suganthan. (2022). Ensemble deep learning: A review. Engineering Applications of Artificial Intelligence. 115. 105151–105151. 1196 indexed citations breakdown →

Moosaei, Hossein, M. A. Ganaie, Milan Hladík, & M. Tanveer. (2022). Inverse free reduced universum twin support vector machine for imbalanced data classification. Neural Networks. 157. 125–135. 35 indexed citations

10.

Tanveer, M., et al.. (2022). Diagnosis of Schizophrenia: A Comprehensive Evaluation. IEEE Journal of Biomedical and Health Informatics. 27(3). 1185–1192. 19 indexed citations

11.

Ganaie, M. A., M. Tanveer, A. K. Malik, & Ponnuthurai Nagaratnam Suganthan. (2022). Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations

12.

Ganaie, M. A. & M. Tanveer. (2022). KNN weighted reduced universum twin SVM for class imbalance learning. Knowledge-Based Systems. 245. 108578–108578. 51 indexed citations

13.

Malik, A. K., M. A. Ganaie, M. Tanveer, & Ponnuthurai Nagaratnam Suganthan. (2022). Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Transactions on Computational Social Systems. 11(4). 4744–4753. 11 indexed citations

14.

Tanveer, M., et al.. (2022). Intuitionistic Fuzzy Weighted Least Squares Twin SVMs. IEEE Transactions on Cybernetics. 53(7). 4400–4409. 34 indexed citations

15.

Tanveer, M., Ashraf Haroon Rashid, M. A. Ganaie, et al.. (2021). Classification of Alzheimer’s Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. IEEE Journal of Biomedical and Health Informatics. 26(4). 1453–1463. 119 indexed citations

16.

Malik, A. K., M. A. Ganaie, M. Tanveer, & Ponnuthurai Nagaratnam Suganthan. (2021). A Novel Ensemble Method of RVFL For Classification Problem. 1–8. 9 indexed citations

17.

Tanveer, M., M. A. Ganaie, & Ponnuthurai Nagaratnam Suganthan. (2021). Ensemble of classification models with weighted functional link network. Applied Soft Computing. 107. 107322–107322. 29 indexed citations

18.

Ganaie, M. A., M. Tanveer, & Ponnuthurai Nagaratnam Suganthan. (2021). Co-Trained Random Vector Functional Link Network. 6 indexed citations

19.

Ganaie, M. A., et al.. (2020). Identification of Chimera using Machine Learning. Figshare. 14 indexed citations

20.

Ganaie, M. A., M. Tanveer, & Ponnuthurai Nagaratnam Suganthan. (2019). Oblique Decision Tree Ensemble via Twin Bounded SVM. Expert Systems with Applications. 143. 113072–113072. 40 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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