Munish Sabharwal

643 total citations
41 papers, 262 citations indexed

About

Munish Sabharwal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Munish Sabharwal has authored 41 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Munish Sabharwal's work include Brain Tumor Detection and Classification (4 papers), AI in cancer detection (4 papers) and IoT and Edge/Fog Computing (3 papers). Munish Sabharwal is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), AI in cancer detection (4 papers) and IoT and Edge/Fog Computing (3 papers). Munish Sabharwal collaborates with scholars based in India, Uzbekistan and United States. Munish Sabharwal's co-authors include Dilbag Singh, Manjit Kaur, Hemant Kumar Gianey, Darpan Anand, Omar Cheikhrouhou, Pradeep Kumar Tiwari, Tarek Frikha, Mohit Vij, Dipti Misra Sharma and Shahram Rahimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Intelligence and Neuroscience and Mathematical Problems in Engineering.

In The Last Decade

Munish Sabharwal

32 papers receiving 244 citations

Peers

Munish Sabharwal

CNC

CVPR

EEE

Naila Aslam Pakistan

Rajiv Kumar India

A.K.M. Muzahidul Islam Bangladesh

Pawan Bhaladhare India

Abdul Wahab Muzaffar Pakistan

Nojood O. Aljehane Saudi Arabia

Mahmoud Othman Egypt

S. Sivasubramanian India

Noor Azah Samsudin Malaysia

G. Geetha India

Naila Aslam Pakistan

Munish Sabharwal

103 ×1.1

89 ×1.9

24 ×0.6

CNC

27 ×0.7

CVPR

25 ×0.9

EEE

Citations per year, relative to Munish Sabharwal Munish Sabharwal (= 1×) peers Naila Aslam

Countries citing papers authored by Munish Sabharwal

Since Specialization

Citations

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

Fields of papers citing papers by Munish Sabharwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munish Sabharwal

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

Sabharwal, Munish, et al.. (2024). An Effective Lung Cancer Diagnosis Model Using the CNN Algorithm. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations

Sabharwal, Munish, et al.. (2023). A Novel IoT-based Framework for Urine Infection Detection and Prediction using Ensemble Bagging Decision Tree Classifier. International Journal on Recent and Innovation Trends in Computing and Communication. 11(5s). 416–423.

Sabharwal, Munish, et al.. (2023). Breast Cancer Detection System Using AI/ML. 1099–1103. 1 indexed citations

Saxena, Mohit, Munish Sabharwal, & Preeti Bajaj. (2023). Review of SDN-based load-balancing methods, issues, challenges, and roadmap. International journal of electrical and computer engineering systems. 14(9). 1031–1049. 2 indexed citations

Saxena, Mohit, Munish Sabharwal, & Preeti Bajaj. (2023). An Optimised Shortest Path Algorithm for Network Rotuting & SDN. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 20–31. 1 indexed citations

Kumar, Manish, et al.. (2023). Implementation of Customer Segmentation Using Machine Learning. 152–155.

Sabharwal, Munish, et al.. (2023). A novel ensemble machine learning framework for early stage diabetes mellitus prediction. Multidisciplinary Science Journal. 6(3). 2024031–2024031. 1 indexed citations

Sabharwal, Munish, et al.. (2023). A hybrid feature selection approach for urinary tract infection detection and prediction in IoT-Fog environment. Multidisciplinary Science Journal. 6(6). 2024080–2024080.

Sabharwal, Munish, et al.. (2022). A Survey of Machine learning algorithms for Lung cancer detection. 338–342. 2 indexed citations

10.

Sabharwal, Munish, et al.. (2022). Blockchain Integration with end-to-end traceability in the Food Supply Chain. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1152–1156. 4 indexed citations

11.

Krishnasamy, Lalitha, et al.. (2022). Healthcare 4.0. 3 indexed citations

12.

Sabharwal, Munish, et al.. (2022). Mango Tree Disease Health Classification Using High Resolution Image Through Deep learning. 1076–1084. 4 indexed citations

13.

Sabharwal, Munish, et al.. (2022). Application of cryptographic methods to blockchain technology to increase data reliability. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 642–647. 3 indexed citations

14.

Vijayalakshmi, S., et al.. (2021). Using Novel Method with Convolutional Neural Network for Colorectal Cancer Classification. Annals of the Romanian Society for Cell Biology. 2653–2671. 3 indexed citations

15.

Sabharwal, Munish. (2021). Alzheimer’s disease Detection through Machine Learning. Annals of the Romanian Society for Cell Biology. 2782–2792. 1 indexed citations

16.

Sabharwal, Munish. (2021). Fetal Brain Abnormality Detection through PSO (Particle Swarm Optimization) and Volume Estimation. Annals of the Romanian Society for Cell Biology. 2700–2714. 5 indexed citations

17.

Sharma, Dipti Misra, et al.. (2019). Sentiment Analysis for Social Media using SVM Classifier of Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 8(9S4). 39–47. 7 indexed citations

18.

Sabharwal, Munish, et al.. (2019). Biometric Authentication and Identification using Behavioral Biometrics Technique of Signature Verification. International Journal of Innovative Technology and Exploring Engineering. 8(9S4). 33–38. 1 indexed citations

19.

Sabharwal, Munish. (2016). The Assessment of Concerns, Opinions and Perceptions of Banker’s to find the Significant Metrics for Deployment of Biometrics in E-Banking. 8(2). 27–38. 2 indexed citations

20.

Sabharwal, Munish. (2014). Indian Banks: The adoption of CRM program to encourage use of e-banking & obtain customer feedback regarding Quality of IT related services. 3(5).

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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