Basabi Chakraborty

1.8k total citations
131 papers, 1.0k citations indexed

About

Basabi Chakraborty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Basabi Chakraborty has authored 131 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 46 papers in Computer Vision and Pattern Recognition and 31 papers in Signal Processing. Recurrent topics in Basabi Chakraborty's work include Advanced Text Analysis Techniques (24 papers), Face and Expression Recognition (18 papers) and Neural Networks and Applications (17 papers). Basabi Chakraborty is often cited by papers focused on Advanced Text Analysis Techniques (24 papers), Face and Expression Recognition (18 papers) and Neural Networks and Applications (17 papers). Basabi Chakraborty collaborates with scholars based in Japan, India and Bangladesh. Basabi Chakraborty's co-authors include Saptarsi Goswami, Goutam Chakraborty, Amlan Chakrabarti, Sankar K. Pal, Weilun Wang, Amit Kumar Das, Sanjay Chakraborty, Takako Hashimoto, Yukari Shirota and Ashis Kumar Mandal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Basabi Chakraborty

119 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basabi Chakraborty Japan 17 522 241 147 99 92 131 1.0k
Yilin Yan United States 10 635 1.2× 352 1.5× 101 0.7× 122 1.2× 129 1.4× 23 1.3k
Michael G. Madden Ireland 16 611 1.2× 207 0.9× 100 0.7× 98 1.0× 110 1.2× 65 1.3k
Gongbo Zhang United States 10 775 1.5× 274 1.1× 118 0.8× 140 1.4× 91 1.0× 22 1.7k
Harry Zhang Canada 13 745 1.4× 223 0.9× 135 0.9× 279 2.8× 130 1.4× 29 1.4k
Saad Sadiq United States 10 495 0.9× 291 1.2× 87 0.6× 102 1.0× 123 1.3× 16 1.2k
Stefan Rüping Germany 14 540 1.0× 277 1.1× 81 0.6× 122 1.2× 137 1.5× 65 1.2k
Rafael M. O. Cruz Canada 15 840 1.6× 272 1.1× 93 0.6× 143 1.4× 56 0.6× 52 1.2k
Christin Seifert Germany 19 807 1.5× 393 1.6× 105 0.7× 161 1.6× 67 0.7× 100 1.5k
Nazri Mohd Nawi Malaysia 18 510 1.0× 171 0.7× 80 0.5× 244 2.5× 180 2.0× 104 1.3k

Countries citing papers authored by Basabi Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Basabi Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Basabi Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Basabi Chakraborty. A scholar is included among the top collaborators of Basabi Chakraborty 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 Basabi Chakraborty. Basabi Chakraborty 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
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Chakraborty, Basabi, et al.. (2021). Human Activity Recognition based on LSTM Neural Network Optimized by PSO Algorithm. 128–133. 6 indexed citations
4.
Chakraborty, Basabi, et al.. (2021). Abnormality Detection and Segmentation in Breast Digital Mammography Images Using Neural Network. 11769. 841–846. 1 indexed citations
5.
Chakraborty, Basabi, et al.. (2021). Performance Study of Image Data Augmentation by Generative Adversarial Networks. 1022–1026. 3 indexed citations
6.
Ito, Hidetoshi & Basabi Chakraborty. (2020). Social Media Mining with Dynamic Clustering: A Case Study by COVID-19 Tweets. 1–6. 2 indexed citations
7.
Chakraborty, Basabi, et al.. (2019). An Approach for Speech Enhancement Using Deep Convolutional Neural Network. 2(1). 28 indexed citations
8.
Chakraborty, Basabi & Sho Yoshida. (2017). Time Series Classification with New Similarity Measure: an Application for Automatic Detection of Driver's Distraction. 29. 1 indexed citations
9.
Shirota, Yukari, et al.. (2017). Visualization for University Brand Image Clustering: Comparison between Male and Female Students. 1(1). 103–116. 2 indexed citations
10.
Chakraborty, Basabi & Takayuki Yoshida. (2016). Design of a framework for wellness determination and subsequent recommendation with personal informatics. National Conference on Artificial Intelligence. 332–336. 1 indexed citations
11.
Goswami, Saptarsi, Amlan Chakrabarti, & Basabi Chakraborty. (2016). An efficient feature selection technique for clustering based on a new measure of feature importance. Journal of Intelligent & Fuzzy Systems. 32(6). 3847–3858. 5 indexed citations
12.
Shirota, Yukari, Takako Hashimoto, & Basabi Chakraborty. (2016). Visual Materials to Teach Gibbs Sampler. 2(2). 92–95. 6 indexed citations
13.
Shirota, Yukari, Takako Hashimoto, & Basabi Chakraborty. (2016). Deductive Reasoning for Joint Distribution Probability in Simple Topic Model. 622–625.
14.
Chakraborty, Basabi, et al.. (2016). Automatic detection of driver's awareness with cognitive task from driving behavior. 3630–3633. 10 indexed citations
15.
Hashimoto, Takako, et al.. (2015). Monetary Policy Topic Extraction by Using LDA: - Termination of Asian Financial Crisis.. European Journal of Combinatorics. 188–198. 1 indexed citations
16.
Goswami, Saptarsi, et al.. (2015). A New Evaluation Measure for Feature Subset Selection with Genetic Algorithm. International Journal of Intelligent Systems and Applications. 7(10). 28–36. 6 indexed citations
17.
Chakraborty, Basabi, et al.. (2006). Application of Translation Error As Similarity Measurement for On-Line Handwriting Verification. IEICE technical report. Speech. 106(259). 53–58. 1 indexed citations
18.
Chakraborty, Basabi, et al.. (2005). Estimation of Embedding Parameters by Neural Network with Pruning Algorithm. IEICE Technical Report; IEICE Tech. Rep.. 105(206). 45–50.
19.
Chakraborty, Basabi. (2002). Genetic Algorithm with Fuzzy Operators for Feature Subset Selection. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(9). 2089–2092. 10 indexed citations
20.
Chakraborty, Basabi & Goutam Chakraborty. (2001). A Neuro Fuzzy Algorithm for Feature Subset Selection. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(9). 2182–2188.

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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