Vandana Bhattacharjee

624 total citations
37 papers, 349 citations indexed

About

Vandana Bhattacharjee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vandana Bhattacharjee has authored 37 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vandana Bhattacharjee's work include Software Engineering Research (8 papers), Software Reliability and Analysis Research (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Vandana Bhattacharjee is often cited by papers focused on Software Engineering Research (8 papers), Software Reliability and Analysis Research (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Vandana Bhattacharjee collaborates with scholars based in India. Vandana Bhattacharjee's co-authors include Umang Gupta, Roheet Bhatnagar, M. K. Ghose, Kumar Rajnish, Animesh Mishra, Sudip Kumar Sahana, Kamta Nath Mishra, Subhash Chand Gupta, Raj Kumar Sahu and Mamata Pandey and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Vandana Bhattacharjee

32 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vandana Bhattacharjee India 10 84 84 73 60 47 37 349
Abhijit S. Pandya United States 8 73 0.9× 103 1.2× 12 0.2× 51 0.8× 52 1.1× 62 322
Mohamed Kholief Egypt 7 61 0.7× 78 0.9× 10 0.1× 31 0.5× 59 1.3× 34 333
Prabhjot Kaur India 12 40 0.5× 115 1.4× 26 0.4× 11 0.2× 92 2.0× 37 273
Luping Liu China 12 92 1.1× 163 1.9× 6 0.1× 38 0.6× 106 2.3× 40 444
Sapiah Sakri Saudi Arabia 7 54 0.6× 205 2.4× 6 0.1× 23 0.4× 59 1.3× 16 374
Ito Wasito Indonesia 9 35 0.4× 123 1.5× 14 0.2× 7 0.1× 54 1.1× 47 328
Shukuan Lin China 10 57 0.7× 80 1.0× 13 0.2× 5 0.1× 77 1.6× 53 313
Weize Chen China 3 45 0.5× 226 2.7× 15 0.2× 10 0.2× 67 1.4× 5 440
Shikha Jain India 9 27 0.3× 155 1.8× 26 0.4× 4 0.1× 44 0.9× 41 321
Bharat Bhushan Sagar India 7 50 0.6× 53 0.6× 11 0.2× 24 0.4× 24 0.5× 36 223

Countries citing papers authored by Vandana Bhattacharjee

Since Specialization
Citations

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

Fields of papers citing papers by Vandana Bhattacharjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vandana Bhattacharjee

This figure shows the co-authorship network connecting the top 25 collaborators of Vandana Bhattacharjee. A scholar is included among the top collaborators of Vandana Bhattacharjee 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 Vandana Bhattacharjee. Vandana Bhattacharjee 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.
Bhattacharjee, Vandana, et al.. (2025). EEG dataset for natural image recognition through visual stimuli. Data in Brief. 60. 111639–111639. 2 indexed citations
2.
Singh, Vandana, Sudip Kumar Sahana, & Vandana Bhattacharjee. (2025). A novel CNN-GRU-LSTM based deep learning model for accurate traffic prediction. Discover Computing. 28(1). 4 indexed citations
3.
Bhattacharjee, Vandana, et al.. (2025). An Empirical Analysis of Deep Learning Models for Temperature Prediction. International Journal of experimental research and review. 47. 12–24.
4.
Sahana, Sudip Kumar, et al.. (2024). Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting. Applied Sciences. 14(24). 11477–11477. 3 indexed citations
5.
Rajnish, Kumar, et al.. (2023). Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models. Multimedia Tools and Applications. 83(16). 47627–47648. 8 indexed citations
6.
Bhattacharjee, Vandana, et al.. (2023). DeepCOVNet Model for COVID-19 Detection Using Chest X-Ray Images. Wireless Personal Communications. 130(2). 1399–1416. 5 indexed citations
7.
Bhattacharjee, Vandana, et al.. (2023). Visually evoked brain signals guided image regeneration using GAN variants. Multimedia Tools and Applications. 82(21). 32259–32279. 5 indexed citations
8.
Mishra, Animesh, et al.. (2023). SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification. IEEE Access. 11. 6673–6681. 13 indexed citations
9.
Rajnish, Kumar & Vandana Bhattacharjee. (2022). A cognitive and neural network approach for software defect prediction. Journal of Intelligent & Fuzzy Systems. 43(5). 6477–6503. 5 indexed citations
10.
Bhattacharjee, Vandana, et al.. (2022). Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data. Scientific Programming. 2022. 1–10. 7 indexed citations
11.
Gupta, Umang, et al.. (2022). StockNet—GRU based stock index prediction. Expert Systems with Applications. 207. 117986–117986. 77 indexed citations
12.
Mishra, Kamta Nath, et al.. (2022). Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach. Cluster Computing. 27(1). 27–52. 6 indexed citations
13.
14.
Bhattacharjee, Vandana, et al.. (2018). An efficient method for brain tumor detection and categorization using MRI images by K-means clustering & DWT. International Journal of Information Technology. 12(1). 141–148. 40 indexed citations
15.
Pandey, Mamata, et al.. (2015). Fuzzy Logic Based Grading System for Student Projects Using Quality Attributes. 7(4). 1304–1308. 2 indexed citations
16.
Singh, Vinay & Vandana Bhattacharjee. (2015). Assessing Package Reusability in Object-Oriented Design. 2 indexed citations
17.
Bhattacharjee, Vandana, et al.. (2013). CTVN: Clustering Technique Using Voronoi Diagram. 3 indexed citations
18.
Ghose, M. K., Roheet Bhatnagar, & Vandana Bhattacharjee. (2011). Comparing some neural network models for software development effort prediction. 12 indexed citations
19.
Bhatnagar, Roheet, Vandana Bhattacharjee, & M. K. Ghose. (2010). Software Development Effort Estimation - Neural Network Vs. Regression Modeling Approach. 28 indexed citations
20.
Bhattacharjee, Vandana, et al.. (2009). Process Model for Software Development Amongst Students. 1 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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