Amit Kumar Das

752 total citations
24 papers, 438 citations indexed

About

Amit Kumar Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Amit Kumar Das has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Amit Kumar Das's work include Face and Expression Recognition (5 papers), Artificial Intelligence in Healthcare (3 papers) and Text and Document Classification Technologies (3 papers). Amit Kumar Das is often cited by papers focused on Face and Expression Recognition (5 papers), Artificial Intelligence in Healthcare (3 papers) and Text and Document Classification Technologies (3 papers). Amit Kumar Das collaborates with scholars based in India, Japan and United States. Amit Kumar Das's co-authors include Amlan Chakrabarti, Saptarsi Goswami, Sachin Agarwal, Basabi Chakraborty, Himadri Nath Saha, Sruti Das Choudhury, Soumya Sen, Sanjay Chakraborty, Sajal Sarkar and Jyotsna Kumar Mandal and has published in prestigious journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Gastrointestinal Endoscopy.

In The Last Decade

Amit Kumar Das

22 papers receiving 417 citations

Peers

Amit Kumar Das
Dalia Ezzat Egypt
Eugenio Vocaturo Italy
Aqib Ali Pakistan
Samreen Naeem Pakistan
Nripendra Narayan Das India
Sania Anam Pakistan
Yadunath Pathak India
Abdullah Almuhaimeed Saudi Arabia
S. Punitha India
Santi Wulan Purnami Indonesia
Dalia Ezzat Egypt
Amit Kumar Das
Citations per year, relative to Amit Kumar Das Amit Kumar Das (= 1×) peers Dalia Ezzat

Countries citing papers authored by Amit Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Das. 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 Amit Kumar Das. The network helps show where Amit Kumar Das may publish in the future.

Co-authorship network of co-authors of Amit Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Das. A scholar is included among the top collaborators of Amit Kumar Das 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 Amit Kumar Das. Amit Kumar Das 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.
Das, Amit Kumar, et al.. (2025). MisVisFix: An Interactive Dashboard for Detecting, Explaining, and Correcting Misleading Visualizations using Large Language Models. IEEE Transactions on Visualization and Computer Graphics. 32(1). 134–144.
2.
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Das, Amit Kumar, et al.. (2023). Assessment of learning parameters for students' adaptability in online education using machine learning and explainable AI. Education and Information Technologies. 29(6). 7553–7568. 5 indexed citations
4.
Das, Amit Kumar, et al.. (2022). Deep learning based automated disease detection and pest classification in Indian mung bean. Multimedia Tools and Applications. 82(8). 12017–12041. 47 indexed citations
5.
Das, Amit Kumar, Basabi Chakraborty, Saptarsi Goswami, & Amlan Chakrabarti. (2022). A fuzzy set based approach for effective feature selection. Fuzzy Sets and Systems. 449. 187–206. 8 indexed citations
6.
Das, Amit Kumar, et al.. (2021). A Comparative Study on Propagation Models for Routing Protocols in FANETs. 528–531. 1 indexed citations
7.
Das, Amit Kumar, et al.. (2021). Study on Proactive and Reactive Routing Approaches for Flying Ad-hoc Networks. 524–527. 3 indexed citations
8.
Das, Amit Kumar, et al.. (2021). Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network. Pattern Analysis and Applications. 24(3). 1111–1124. 145 indexed citations
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10.
Das, Amit Kumar, et al.. (2020). A Novel Regression based Technique for Batsman Evaluation in the Indian Premier League. 379–384. 5 indexed citations
11.
Das, Amit Kumar, et al.. (2019). A Short Review on Applications of Big Data Analytics. Advances in intelligent systems and computing. 265–278. 3 indexed citations
12.
Das, Amit Kumar, et al.. (2019). An information-theoretic graph-based approach for feature selection. Sadhana. 45(1). 9 indexed citations
13.
Das, Amit Kumar, et al.. (2019). A Short Review on Different Clustering Techniques and Their Applications. Advances in intelligent systems and computing. 69–83. 86 indexed citations
14.
Das, Amit Kumar, Saptarsi Goswami, Amlan Chakrabarti, & Basabi Chakraborty. (2017). A new hybrid feature selection approach using feature association map for supervised and unsupervised classification. Expert Systems with Applications. 88. 81–94. 40 indexed citations
15.
Das, Amit Kumar, Suranjana Samanta, Safeer Alam, et al.. (2017). Recognition of power system transients based on higher order statistical moments using empirical mode decomposition. 43. 12–17. 1 indexed citations
16.
Goswami, Saptarsi, et al.. (2017). An approach of feature selection using graph-theoretic heuristic and hill climbing. Pattern Analysis and Applications. 22(2). 615–631. 7 indexed citations
17.
Sarkar, Arijit, et al.. (2016). A Spam Detection Study of Tweets in Indian Healthcare. 8(4). 123–127. 1 indexed citations
18.
Goswami, Saptarsi, et al.. (2016). Application of twitter in health care sector for India. 305. 172–176. 2 indexed citations
19.
Das, Amit Kumar, et al.. (2015). Data mining techniques in Indian healthcare: A short review. 36 1. 1–7. 4 indexed citations
20.
Das, Amit Kumar, et al.. (2015). Binarization of stone inscripted documents. 11–16. 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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