Manjusha Pandey

2.3k total citations · 2 hit papers
86 papers, 1.2k citations indexed

About

Manjusha Pandey is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Manjusha Pandey has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 29 papers in Information Systems and 19 papers in Computer Networks and Communications. Recurrent topics in Manjusha Pandey's work include Artificial Intelligence in Healthcare (11 papers), Cloud Computing and Resource Management (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). Manjusha Pandey is often cited by papers focused on Artificial Intelligence in Healthcare (11 papers), Cloud Computing and Resource Management (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). Manjusha Pandey collaborates with scholars based in India, Chile and Mexico. Manjusha Pandey's co-authors include Siddharth Swarup Rautaray, Ajeet Ram Pathak, Mahendra Kumar Gourisaria, Harshvardhan GM, Shekhar Verma, Khushboo Tripathi, Ritesh Sharma, Sudhansu Shekhar Patra, Sachi Nandan Mohanty and Kusum Yadav and has published in prestigious journals such as Applied Soft Computing, Applied Sciences and Computer Science Review.

In The Last Decade

Manjusha Pandey

74 papers receiving 1.1k 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.

Application of Deep Learning for Object Detection

2018 337 citations Ajeet Ram Pathak, Manjusha Pandey et al. profile →
A comprehensive survey and analysis of generative models in machine learning

2020 265 citations Harshvardhan GM, Mahendra Kumar Gourisaria et al. profile →

Peers

Countries citing papers authored by Manjusha Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Manjusha Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjusha Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Manjusha Pandey. A scholar is included among the top collaborators of Manjusha Pandey 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 Manjusha Pandey. Manjusha Pandey 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	Clustering Based BMI Indexing for Child Disease Prone-Probability Prediction 2023 ·SN Computer Science ·(unknown), Manjusha Pandey, Siddharth Swarup Rautaray	0
2	Diagnosis of Intracranial Tumors via the Selective CNN Data Modeling Technique 2022 ·Applied Sciences ·(unknown), Mahendra Kumar Gourisaria, Harshvardhan GM, Siddharth Swarup Rautaray, Manjusha Pandey, (unknown), Ernesto León‐Castro, (unknown)	18
3	A Comprehensive Analysis of Text Analysis Algorithms for E-mail Itemization 2022 ·(unknown), Manjusha Pandey, Siddharth Swarup Rautaray	0
4	Machine Learning based Cardiovascular Disease Prediction Using One-vs-one Approach 2022 ·(unknown), Manjusha Pandey, Siddharth Swarup Rautaray	1
5	Topic Modelling Twitterati Sentiments using Latent Dirichlet Allocation during Demonetization 2021 ·International Conference on Computing for Sustainable Global Development ·Harshvardhan GM, Mahendra Kumar Gourisaria, (unknown), Siddharth Swarup Rautaray, Manjusha Pandey	1
6	Analysis and Prediction of Chronic Heart Diseases Using Machine Learning Classification Models 2020 ·International Journal of Advanced Trends in Computer Science and Engineering ·Abhishek Anand, (unknown), Siddharth Swarup Rautaray, Manjusha Pandey, Mahendra Kumar Gourisaria, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	5
7	Paddy Crop Disease Prediction- A Transfer Learning Technique 2020 ·International Journal of Recent Technology and Engineering (IJRTE) ·Siddharth Swarup Rautaray, Manjusha Pandey, Mahendra Kumar Gourisaria, Ritesh Sharma, (unknown)	20
8	Adaptive Model for Dynamic and Temporal Topic Modeling from Big Data using Deep Learning Architecture 2019 ·International Journal of Intelligent Systems and Applications ·Ajeet Ram Pathak, Manjusha Pandey, Siddharth Swarup Rautaray	12
9	An Iterative Model for Text Mining Using Big Data Technology 2019 ·SSRN Electronic Journal ·(unknown), Siddharth Swarup Rautaray, (unknown), Manjusha Pandey	1
10	An Optimized Model for Breast CancerPrediction Using Frequent Itemsets Mining 2019 ·International Journal of Information Engineering and Electronic Business ·(unknown), (unknown), Siddharth Swarup Rautaray, Manjusha Pandey	2
11	Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation 2019 ·Cluster Computing ·Ajeet Ram Pathak, Manjusha Pandey, Siddharth Swarup Rautaray	9
12	Big Data Analytics for Medical Applications 2018 ·International Journal of Modern Education and Computer Science ·(unknown), (unknown), Siddharth Swarup Rautaray, Manjusha Pandey	19
13	Big Data Optimization Techniques: A Survey 2018 ·International Journal of Information Engineering and Electronic Business ·(unknown), Siddharth Swarup Rautaray, Manjusha Pandey	7
14	A Proposal for High Availability of HDFS Architecture based on Threshold Limit and Saturation Limit of the Namenode 2017 ·International Journal of Information Engineering and Electronic Business ·(unknown), (unknown), Manjusha Pandey, Siddharth Swarup Rautaray	3
15	A Survey Work on Optimization Techniques Utilizing Map Reduce Framework in Hadoop Cluster 2017 ·International Journal of Intelligent Systems and Applications ·(unknown), Mahendra Kumar Gourisaria, Siddharth Swarup Rautaray, Manjusha Pandey	9
16	A Framework for Development of Recommender System for Financial Data Analysis 2017 ·International Journal of Information Engineering and Electronic Business ·(unknown), Manjusha Pandey, Siddharth Swarup Rautaray	5
17	Parallel support vector machine used in map-reduce for risk analysis 2017 ·2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) ·(unknown), Siddharth Swarup Rautaray, Manjusha Pandey	4
18	The Emergence of Multi – drug resistant tuberculosis in HIV Patients 2014 ·International journal of innovation and applied studies ·Manjusha Pandey, (unknown), (unknown), (unknown)	0
19	Concealing of the base station's location for preserving privacy in Wireless Sensor Network by mitigating traffic patterns 2014 ·(unknown), Manjusha Pandey	2
20	Energy Consumption Patterns for Different Mobility Conditions in WSN 2011 ·Wireless Sensor Network ·Manjusha Pandey, Shekhar Verma	2

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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