M. A. Ansari

1.3k total citations
112 papers, 734 citations indexed

About

M. A. Ansari is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, M. A. Ansari has authored 112 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 38 papers in Electrical and Electronic Engineering and 28 papers in Control and Systems Engineering. Recurrent topics in M. A. Ansari's work include Microgrid Control and Optimization (18 papers), Human Pose and Action Recognition (12 papers) and Advanced Data Compression Techniques (11 papers). M. A. Ansari is often cited by papers focused on Microgrid Control and Optimization (18 papers), Human Pose and Action Recognition (12 papers) and Advanced Data Compression Techniques (11 papers). M. A. Ansari collaborates with scholars based in India, Saudi Arabia and United States. M. A. Ansari's co-authors include Dushyant Kumar Singh, Manish Dixit, Garima Singh, R. S. Anand, Komal Bajaj, Rajat Mehrotra, Rajeev Agrawal, Alaknanda Ashok, Nidhi Singh and Manoj Tripathy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.

In The Last Decade

M. A. Ansari

93 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. A. Ansari India	13	339	172	166	116	89	112	734
Md. Saiful Islam Bangladesh	14	217 0.6×	174 1.0×	191 1.2×	215 1.9×	68 0.8×	72	700
Iza Sazanita Isa Malaysia	13	205 0.6×	51 0.3×	180 1.1×	51 0.4×	34 0.4×	89	608
Chee‐Onn Chow Malaysia	17	163 0.5×	191 1.1×	214 1.3×	53 0.5×	14 0.2×	86	899
Sajid Saleem Pakistan	15	153 0.5×	191 1.1×	83 0.5×	13 0.1×	57 0.6×	54	721
Hani Attar Jordan	15	63 0.2×	274 1.6×	115 0.7×	20 0.2×	62 0.7×	109	684
Gustavo Henrique de Rosa Brazil	12	200 0.6×	52 0.3×	253 1.5×	49 0.4×	49 0.6×	37	816
Wenhao Wu China	17	623 1.8×	48 0.3×	370 2.2×	24 0.2×	74 0.8×	71	972
Muhammad Asim Saleem China	14	167 0.5×	175 1.0×	154 0.9×	209 1.8×	30 0.3×	39	620
Syed Moshfeq Salaken Australia	12	112 0.3×	92 0.5×	203 1.2×	15 0.1×	90 1.0×	27	547
Ping Fu China	17	374 1.1×	249 1.4×	100 0.6×	10 0.1×	69 0.8×	87	860

Countries citing papers authored by M. A. Ansari

Since Specialization

Citations

This map shows the geographic impact of M. A. Ansari'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. Ansari 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. Ansari more than expected).

Fields of papers citing papers by M. A. Ansari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ansari, M. A., et al.. (2025). Mitigating risk in medical AI: balancing X-ray datasets for reliable detection. Life Cycle Reliability and Safety Engineering.

Maurya, Sushil K., et al.. (2025). Seeing Beyond: Advanced Image and Thermal Analysis for Early Detection of Diabetic Retinopathy and Diabetes. Biomedical & Pharmacology Journal. 18(December Spl Edition). 191–202. 1 indexed citations

Ahmad, Shahnawaz, et al.. (2025). Protecting Data in the Cloud: A Systematic Literature Review of Key Management. Concurrency and Computation Practice and Experience. 37(21-22). 1 indexed citations

Ansari, M. A., et al.. (2025). Advances in facial expression recognition technologies for emotion analysis. Discover Computing. 28(1).

Khan, Mir Azam, M. A. Ansari, & Sagheer A. Onaizi. (2025). Photocatalytic and electrocatalytic conversion of CO2 into valuable chemicals using layered double hydroxide-based materials: A review. Surfaces and Interfaces. 72. 107297–107297. 3 indexed citations

Ansari, M. A., et al.. (2024). Preparation, characterization and cooling performance of ZnO based Nanofluids. Discover Applied Sciences. 6(3). 6 indexed citations

Mehrotra, Rajat, et al.. (2023). An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques. International Journal of Imaging Systems and Technology. 34(1). 11 indexed citations

Ansari, M. A. & Dushyant Kumar Singh. (2023). Optimized Parameter Tuning in a Recurrent Learning Process for Shoplifting Activity Classification. Cybernetics and Information Technologies. 23(1). 141–160. 4 indexed citations

Ansari, M. A., et al.. (2023). Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter. International Transactions on Electrical Energy Systems. 2023. 1–28. 2 indexed citations

10.

Ansari, M. A., et al.. (2023). Islanding Event Detection in Grid-Connected Distributed Generation Systems Using Unscented Kalman Filter. International Journal of Energy Research. 2023. 1–17.

11.

Ansari, M. A., et al.. (2021). Feature Extraction and Classification Techniques for Power Quality Disturbances in Distributed Generation: A Review. IETE Journal of Research. 69(6). 3836–3851. 20 indexed citations

12.

Ansari, M. A., et al.. (2020). Power Quality Issues and Mitigation Strategies: A Review. 9(3). 23–27.

13.

Bajaj, Komal, Dushyant Kumar Singh, & M. A. Ansari. (2020). Autoencoders Based Deep Learner for Image Denoising. Procedia Computer Science. 171. 1535–1541. 46 indexed citations

14.

Ansari, M. A. & Manish Dixit. (2017). AN IMAGE RETRIEVAL FRAMEWORK: A REVIEW. International Journal of Advanced Research in Computer Science. 8(5). 692–699. 4 indexed citations

15.

Ansari, M. A. & Manish Dixit. (2017). A Refined Approach of Image Retrieval Using RBF-SVM Classifier. International Journal of Signal Processing Image Processing and Pattern Recognition. 10(9). 43–56. 1 indexed citations

16.

Khan, Imran, et al.. (2017). Rate Control Methods Evaluation and Analysis for H.263 and MPEG-4 Video Codec. Indian Journal of Science and Technology. 10(13). 1–7. 1 indexed citations

17.

Memon, Zubair Ahmed, et al.. (2016). Voltage Profile Improvement of Radial Feeder through Distributed Generation. Sindh University Research Journal. 48(3). 1 indexed citations

18.

Ansari, M. A., et al.. (2016). Automated Detection of Malignant Cells Based on Structural Analysis and Naive Bayes Classifier. Sindh University Research Journal. 48(2). 5 indexed citations

19.

Singh, Garima & M. A. Ansari. (2016). Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram. 1–6. 39 indexed citations

20.

Srivastava, Avi, et al.. (2014). Texture-based medical image retrieval in compressed domain using compressive sensing. International Journal of Bioinformatics Research and Applications. 10(2). 129–129. 7 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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