Tapan Kumar Das

1.2k total citations
48 papers, 618 citations indexed

About

Tapan Kumar Das is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Tapan Kumar Das has authored 48 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Tapan Kumar Das's work include Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (5 papers) and Data Mining Algorithms and Applications (4 papers). Tapan Kumar Das is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (5 papers) and Data Mining Algorithms and Applications (4 papers). Tapan Kumar Das collaborates with scholars based in India, Taiwan and Finland. Tapan Kumar Das's co-authors include Asis Kumar Tripathy, D. P. Acharjya, Xiao‐Zhi Gao, P. Mohan Kumar, Pradeep Kumar Roy, Kathiravan Srinivasan, Manas Ranjan Patra, Sudhir Kumar Mohapatra, Yuh‐Chung Hu and Alekha Kumar Mishra and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Tapan Kumar Das

43 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tapan Kumar Das India 14 250 173 109 76 73 48 618
Jonghun Park South Korea 15 182 0.7× 113 0.7× 102 0.9× 82 1.1× 131 1.8× 68 690
Xiaoli Wang China 14 236 0.9× 123 0.7× 140 1.3× 76 1.0× 67 0.9× 78 583
Jiamou Liu New Zealand 13 280 1.1× 203 1.2× 94 0.9× 67 0.9× 96 1.3× 96 692
Robin Singh Bhadoria India 13 114 0.5× 127 0.7× 146 1.3× 45 0.6× 69 0.9× 56 507
Marwan Hassani Netherlands 13 278 1.1× 184 1.1× 104 1.0× 44 0.6× 53 0.7× 54 523
Yves Demazeau France 13 274 1.1× 72 0.4× 113 1.0× 111 1.5× 92 1.3× 76 676
Norita Md Norwawi Malaysia 14 164 0.7× 195 1.1× 86 0.8× 40 0.5× 76 1.0× 86 551
Erik M. Fredericks United States 10 261 1.0× 149 0.9× 133 1.2× 82 1.1× 38 0.5× 27 593
Xuan Zhang China 15 353 1.4× 280 1.6× 89 0.8× 71 0.9× 78 1.1× 80 761
Yee Ling Boo Australia 7 306 1.2× 136 0.8× 73 0.7× 40 0.5× 58 0.8× 22 522

Countries citing papers authored by Tapan Kumar Das

Since Specialization
Citations

This map shows the geographic impact of Tapan 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 Tapan 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 Tapan Kumar Das more than expected).

Fields of papers citing papers by Tapan Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tapan Kumar Das. A scholar is included among the top collaborators of Tapan 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 Tapan Kumar Das. Tapan 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.
2.
Hasan, Md. Kamrul, et al.. (2025). Melatonin-mediated adaptation of spinach (Spinacia oleracea L.) in acidic soil. Plant Physiology and Biochemistry. 223. 109816–109816. 2 indexed citations
3.
Mohapatra, Sudhir Kumar, et al.. (2024). Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework. Scientific Reports. 14(1). 30703–30703.
4.
Srinivasan, Kathiravan, et al.. (2024). Deep learning-powered malware detection in cyberspace: a contemporary review. Frontiers in Physics. 12. 3 indexed citations
5.
Das, Tapan Kumar, et al.. (2024). A Smart Locking System Based on Multimodal Biometrics Authentication. 571–576.
6.
Das, Tapan Kumar, et al.. (2023). TRX Cryptocurrency Profit and Transaction Success Rate Prediction Using Whale Optimization-Based Ensemble Learning Framework. Mathematics. 11(11). 2415–2415. 2 indexed citations
7.
Mohapatra, S. R., et al.. (2023). Exploration of MgTiO3-CaTiO3 Ceramic-Based Dielectric Resonator Antenna for Sub-6 GHz 5G Communication Application. ECS Journal of Solid State Science and Technology. 12(7). 73003–73003. 7 indexed citations
8.
Das, Tapan Kumar, et al.. (2023). Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants. Diagnostics. 13(22). 3419–3419. 1 indexed citations
9.
10.
Mohapatra, Sudhir Kumar, et al.. (2022). A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques. Sensors. 22(3). 1242–1242. 74 indexed citations
11.
Tripathy, Asis Kumar & Tapan Kumar Das. (2022). Advanced E-Voting System using Blockchain. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). 9–13. 2 indexed citations
12.
Das, Tapan Kumar, Pradeep Kumar Roy, Mohy Uddin, et al.. (2021). Early Tumor Diagnosis in Brain MR Images via Deep Convolutional Neural Network Model. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 2413–2429. 15 indexed citations
13.
Mohapatra, Sudhir Kumar, et al.. (2021). Automatic Hate Speech Detection in English-Odia Code Mixed Social Media Data Using Machine Learning Techniques. Applied Sciences. 11(18). 8575–8575. 18 indexed citations
14.
Das, Tapan Kumar, et al.. (2021). An Intelligent Hybrid System for Forecasting Stock and Forex Trading Signals using Optimized Recurrent FLANN and Case-Based Reasoning. International Journal of Computational Intelligence Systems. 14(1). 1763–1763. 14 indexed citations
15.
Roy, Pradeep Kumar, Asis Kumar Tripathy, Tapan Kumar Das, & Xiao‐Zhi Gao. (2020). A Framework for Hate Speech Detection Using Deep Convolutional Neural Network. IEEE Access. 8. 204951–204962. 109 indexed citations
16.
Chowdhary, Chiranji Lal, et al.. (2018). An Efficient Approach for Lung Nodule Detection on CT Images. Research Journal of Pharmacy and Technology. 11(8). 3263–3263. 1 indexed citations
17.
Das, Tapan Kumar. (2016). Intelligent Techniques in Decision Making: A Survey. Indian Journal of Science and Technology. 9(12). 13 indexed citations
18.
Das, Tapan Kumar, D. P. Acharjya, & Manas Ranjan Patra. (2015). Multi Criterion Decision Making using Intuitionistic Fuzzy Rough Set on Two Universal Sets. International Journal of Intelligent Systems and Applications. 7(4). 26–33. 11 indexed citations
19.
Das, Tapan Kumar, et al.. (2014). A Study on Big Data Integration with Data Warehouse. International Journal of Computer Trends and Technology. 9(4). 188–192. 13 indexed citations
20.
Das, Tapan Kumar, D. P. Acharjya, & Manas Ranjan Patra. (2014). Business intelligence from online product review-a rough set based rule induction approach. 5. 800–803. 6 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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