Rajib Bag

849 total citations · 1 hit paper
20 papers, 489 citations indexed

About

Rajib Bag is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems. According to data from OpenAlex, Rajib Bag has authored 20 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Information Systems. Recurrent topics in Rajib Bag's work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Blind Source Separation Techniques (3 papers). Rajib Bag is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Blind Source Separation Techniques (3 papers). Rajib Bag collaborates with scholars based in India, Sweden and Indonesia. Rajib Bag's co-authors include Koyel Chakraborty, Siddhartha Bhattacharyya, Surbhi Bhatia, Aboul Ella Hassanien, Jan Platoš, Avishek Chakraborty, Sharmistha Basu, Debasis Das, Rajiv Kumar and Ayan Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and IEEE Transactions on Computational Social Systems.

In The Last Decade

Rajib Bag

19 papers receiving 465 citations

Hit Papers

Sentiment Analysis of COVID-19 tweets by Deep Learning Cl... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media
    2020 255 citations Koyel Chakraborty, Surbhi Bhatia et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajib Bag India 7 323 160 104 57 44 20 489
Shaodian Zhang China 14 667 2.1× 73 0.5× 123 1.2× 13 0.2× 28 0.6× 26 910
Subhabrata Mukherjee United States 17 726 2.2× 403 2.5× 321 3.1× 14 0.2× 104 2.4× 39 947
Buket Kaya Türkiye 13 255 0.8× 65 0.4× 89 0.9× 4 0.1× 57 1.3× 51 418
Ignacio Castro United Kingdom 16 316 1.0× 121 0.8× 135 1.3× 4 0.1× 40 0.9× 56 750
Hal Hodson United Kingdom 7 91 0.3× 68 0.4× 50 0.5× 8 0.1× 29 0.7× 67 429
Longtao He China 12 388 1.2× 103 0.6× 93 0.9× 10 0.2× 48 1.1× 53 648
Luc Rocher United Kingdom 5 219 0.7× 123 0.8× 86 0.8× 3 0.1× 16 0.4× 7 477
M. Sadiq Ali Khan Pakistan 9 145 0.4× 58 0.4× 30 0.3× 4 0.1× 14 0.3× 30 383
Luis Espinosa-Anke United Kingdom 17 663 2.1× 88 0.6× 53 0.5× 3 0.1× 65 1.5× 66 867
Naurin Farooq Khan Pakistan 9 148 0.5× 82 0.5× 103 1.0× 4 0.1× 19 0.4× 16 375

Countries citing papers authored by Rajib Bag

Since Specialization
Citations

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

Fields of papers citing papers by Rajib Bag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajib Bag

This figure shows the co-authorship network connecting the top 25 collaborators of Rajib Bag. A scholar is included among the top collaborators of Rajib Bag 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 Rajib Bag. Rajib Bag 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.
Chakraborty, Avishek, et al.. (2022). A Neighborhood Impact Driven K-Medoid Clustering and Fuzzy Logic Blended Approach for High Density Impulse Noise Detection and Removal. Traitement du signal. 39(5). 1737–1749. 1 indexed citations
2.
Chakraborty, Avishek, et al.. (2021). Diagnosis of Melanoma Lesion Using Neutrosophic and Deep Learning. Traitement du signal. 38(5). 1327–1338. 8 indexed citations
3.
Chakraborty, Koyel, Surbhi Bhatia, Siddhartha Bhattacharyya, et al.. (2020). Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media. Applied Soft Computing. 97. 106754–106754. 255 indexed citations breakdown →
4.
Bag, Rajib, et al.. (2020). A Review on Security and Privacy Concern in IoT Health Care. 247–271. 2 indexed citations
5.
Chakraborty, Avishek, et al.. (2020). Melanoma Diagnosis Using Deep Learning and Fuzzy Logic. Diagnostics. 10(8). 577–577. 65 indexed citations
6.
Chakraborty, Koyel, Siddhartha Bhattacharyya, & Rajib Bag. (2020). A Survey of Sentiment Analysis from Social Media Data. IEEE Transactions on Computational Social Systems. 7(2). 450–464. 112 indexed citations
7.
Bag, Rajib, et al.. (2020). Impulse noise removal by k-means clustering identified fuzzy filter: a new approach. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(5). 2838–2862. 4 indexed citations
8.
9.
Sen, Santanu, Sharmistha Dey, & Rajib Bag. (2019). Study of Energy Efficient Algorithms for Cloud Computing based on Virtual Machine Migration Techniques. 3(2). 93–101. 1 indexed citations
10.
Bag, Rajib, et al.. (2019). Educational Website Ranking Using Fuzzy Logic and K-Means Clustering Based Hybrid Method. Ingénierie des systèmes d information. 24(5). 497–506. 11 indexed citations
11.
Bag, Rajib, et al.. (2019). Recognition of Hindi and Bengali Handwritten and Typed Text from Images using Tesseract on Android Platform. International Journal of Innovative Technology and Exploring Engineering. 9(1). 3507–3516.
12.
Bag, Rajib, et al.. (2019). Tutorial Gap Identification Towards Student Modeling Using Fuzzy Logic. International Journal of Information and Communication Technology Education. 15(3). 30–41. 1 indexed citations
13.
Bag, Rajib, et al.. (2018). Mobile Phone Ranking by Analytical Hierarchical Process: A Case Study. International Journal of Information Engineering and Electronic Business. 10(6). 52–60. 2 indexed citations
14.
Bag, Rajib, Debasis Das, & Rajiv Kumar. (2017). An architecture of smart transportation system using modified RR algorithm and VANET. 1–7. 2 indexed citations
15.
Bag, Rajib, et al.. (2017). A new method for tutorial gap identification towards students modeling. Mathematical Modelling and Engineering Problems. 4(2). 80–83. 2 indexed citations
16.
Mukherjee, Ayan, et al.. (2017). Random Valued Impulse Noise Removal Using Region Based Detection Approach. SHILAP Revista de lepidopterología. 7(6). 2288–2292. 7 indexed citations
17.
Bag, Rajib, et al.. (2016). Binary expansion based denoising algorithm for an image corrupted by Gaussian noise. CSI Transactions on ICT. 5(1). 103–107. 1 indexed citations
18.
Bag, Rajib, et al.. (2015). A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques. International Journal of Image Graphics and Signal Processing. 7(9). 61. 3 indexed citations
19.
Bag, Rajib, et al.. (2015). Sequentially combined mean-median filter for high density salt and pepper noise removal. 6. 21–26. 6 indexed citations
20.
Bag, Rajib, et al.. (2014). Neighborhood Based Pixel Approximation for High Level Salt and Pepper Noise Removal. 6(8). 346–351. 5 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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