Minakshi Memoria

1.0k total citations
64 papers, 472 citations indexed

About

Minakshi Memoria is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Minakshi Memoria has authored 64 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Minakshi Memoria's work include Artificial Intelligence in Healthcare (7 papers), Blockchain Technology Applications and Security (7 papers) and Infrared Thermography in Medicine (5 papers). Minakshi Memoria is often cited by papers focused on Artificial Intelligence in Healthcare (7 papers), Blockchain Technology Applications and Security (7 papers) and Infrared Thermography in Medicine (5 papers). Minakshi Memoria collaborates with scholars based in India, Malaysia and Saudi Arabia. Minakshi Memoria's co-authors include Kapil Joshi, Amrendra Tripathi, Rajiv Kumar, Prabhishek Singh, Manoj Diwakar, Neeraj Kumar, Ashulekha Gupta, Sanjeev Kumar, Ayush Sharma and Suman Rani and has published in prestigious journals such as Materials Letters, BMC Musculoskeletal Disorders and Materials Today Proceedings.

In The Last Decade

Minakshi Memoria

55 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minakshi Memoria India 12 126 101 74 66 64 64 472
G. Saranya India 11 117 0.9× 78 0.8× 46 0.6× 67 1.0× 24 0.4× 48 436
Kashif Munir Pakistan 14 199 1.6× 83 0.8× 159 2.1× 102 1.5× 44 0.7× 43 672
Nouh Sabri Elmitwally United Kingdom 12 162 1.3× 51 0.5× 95 1.3× 36 0.5× 38 0.6× 32 430
Gunjan Chhabra India 12 88 0.7× 40 0.4× 58 0.8× 33 0.5× 23 0.4× 82 432
Nursena Bayğın Türkiye 10 89 0.7× 25 0.2× 63 0.9× 92 1.4× 77 1.2× 24 389
Atifa Athar Pakistan 12 189 1.5× 78 0.8× 76 1.0× 50 0.8× 73 1.1× 21 484
M. Ilayaraja India 8 122 1.0× 77 0.8× 81 1.1× 50 0.8× 39 0.6× 33 333
Hassan Muwafaq Gheni Iraq 12 120 1.0× 66 0.7× 59 0.8× 29 0.4× 33 0.5× 46 450
Xiaofan Cheng China 5 198 1.6× 25 0.2× 90 1.2× 107 1.6× 89 1.4× 8 580
Ahmed S. Salama Egypt 7 108 0.9× 58 0.6× 149 2.0× 83 1.3× 31 0.5× 16 478

Countries citing papers authored by Minakshi Memoria

Since Specialization
Citations

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

Fields of papers citing papers by Minakshi Memoria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minakshi Memoria

This figure shows the co-authorship network connecting the top 25 collaborators of Minakshi Memoria. A scholar is included among the top collaborators of Minakshi Memoria 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 Minakshi Memoria. Minakshi Memoria 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.
Tanwar, Poonam, et al.. (2025). Improving Health Care Analytics: LSTM Networks for Enhanced Risk Assessment. Procedia Computer Science. 259. 11–22. 1 indexed citations
2.
Kumar, Harish, et al.. (2025). Decoding ZnO: multifunctional properties via theory and experiment. Materials Letters. 397. 138814–138814.
3.
Rani, Suman, et al.. (2025). Automated Knee Osteoarthritis Classification from X-ray Images Using the VGG-16 Model. Biomedical & Pharmacology Journal. 18(December Spl Edition). 217–227. 1 indexed citations
4.
5.
Memoria, Minakshi, et al.. (2024). Fetal Ultrasound Segmentation and Measurements Using Appearance and Shape Prior Based Density Regression with Deep CNN and Robust Ellipse Fitting. Journal of Imaging Informatics in Medicine. 37(1). 247–267. 4 indexed citations
6.
Rani, Suman, et al.. (2024). A Comprehensive Review of Machine Learning’s Role within KOA. EAI Endorsed Transactions on Internet of Things. 10. 6 indexed citations
7.
Saxena, S.C., et al.. (2024). A Study of the Application of AI & ML to Climate Variation, with Particular Attention to Legal & Ethical Concerns. EAI Endorsed Transactions on Internet of Things. 10. 2 indexed citations
8.
9.
Shukla, Sunil, et al.. (2023). An Integrating Computational Approach Review to Analyse the Biological Functions. 11. 139–144. 1 indexed citations
10.
Memoria, Minakshi, et al.. (2023). Bibliometric Analysis of White- Collar crimes- Concept and Development Using Artificial Intelligence. 317–320. 1 indexed citations
11.
Rani, Suman, et al.. (2023). Role of Fashion in Artificial Intelliegence in Digital Age. 1–6. 1 indexed citations
12.
13.
Rani, Suman, Minakshi Memoria, Mamta Rani, & Rajiv Kumar. (2023). Breast Cancer Detection Using Mammographic Images over Convolutional Neural Network. 73–78. 7 indexed citations
14.
15.
Joshi, Kapil, et al.. (2022). A Health-Care Architecture Based on Energy-Efficient Cloud Computing. 1–6. 3 indexed citations
16.
17.
Memoria, Minakshi, et al.. (2022). A Comprehensive Review Study on: Optimized Data Mining, Machine Learning and Deep Learning Techniques for Breast Cancer Prediction in Big Data Context. Biomedical & Pharmacology Journal. 15(1). 13–25. 15 indexed citations
18.
Gupta, Ashulekha, et al.. (2022). Artificial Intelligence And Smart Cities: A Bibliometric Analysis. 540–544. 16 indexed citations
19.
Memoria, Minakshi, et al.. (2022). SECURE MACHINE LEARNING BASED TRANSACTION SYSTEM USING FINGERPRINT AUTHENTICATION. 1–4. 15 indexed citations
20.
Diwakar, Manoj, Amrendra Tripathi, Kapil Joshi, et al.. (2020). A comparative review: Medical image fusion using SWT and DWT. Materials Today Proceedings. 37. 3411–3416. 44 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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