Nripendra Narayan Das

750 total citations · 1 hit paper
25 papers, 494 citations indexed

About

Nripendra Narayan Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Nripendra Narayan Das has authored 25 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Nripendra Narayan Das's work include COVID-19 diagnosis using AI (4 papers), Data Quality and Management (3 papers) and Stock Market Forecasting Methods (2 papers). Nripendra Narayan Das is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Data Quality and Management (3 papers) and Stock Market Forecasting Methods (2 papers). Nripendra Narayan Das collaborates with scholars based in India, Nepal and Malaysia. Nripendra Narayan Das's co-authors include Naresh Kumar, Dilbag Singh, Vijay Kumar, Manjit Kaur, Ashish Juneja, Kamali Gupta, Deepali Gupta, Manjit Kaur, Yousef A. Baker El–Ebiary and Deepika Ghai and has published in prestigious journals such as Biomedical Signal Processing and Control, Results in Engineering and Journal of Information Security and Applications.

In The Last Decade

Nripendra Narayan Das

16 papers receiving 475 citations

Hit Papers

Automated Deep Transfer Learning-Based Approach for Detec... 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. Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays
    2020 252 citations Nripendra Narayan Das, Naresh Kumar et al. IRBM profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nripendra Narayan Das India 6 272 237 80 60 45 25 494
Talha Meraj Pakistan 13 240 0.9× 219 0.9× 122 1.5× 26 0.4× 45 1.0× 24 576
Surbhi Gupta India 15 188 0.7× 268 1.1× 83 1.0× 42 0.7× 20 0.4× 24 563
Hassaan Malik Pakistan 13 221 0.8× 275 1.2× 74 0.9× 54 0.9× 121 2.7× 36 701
Ahmad Naeem Pakistan 13 193 0.7× 388 1.6× 94 1.2× 40 0.7× 23 0.5× 25 680
Erdal Taşçı Türkiye 11 182 0.7× 197 0.8× 85 1.1× 21 0.3× 31 0.7× 39 532
Kaniz Fatema Bangladesh 9 78 0.3× 181 0.8× 56 0.7× 41 0.7× 36 0.8× 31 487
Shivam Kalra Canada 8 137 0.5× 341 1.4× 96 1.2× 49 0.8× 27 0.6× 17 453
Hadil Shaiba Saudi Arabia 11 121 0.4× 167 0.7× 49 0.6× 29 0.5× 60 1.3× 38 438
Xuechen Li China 12 264 1.0× 192 0.8× 152 1.9× 16 0.3× 20 0.4× 38 494
Warda M. Shaban Egypt 11 187 0.7× 232 1.0× 58 0.7× 12 0.2× 22 0.5× 23 507

Countries citing papers authored by Nripendra Narayan Das

Since Specialization
Citations

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

Fields of papers citing papers by Nripendra Narayan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nripendra Narayan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Nripendra Narayan Das. A scholar is included among the top collaborators of Nripendra Narayan 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 Nripendra Narayan Das. Nripendra Narayan 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
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Mann, P. J., et al.. (2025). YOLOv11 with transformer attention for real-time monitoring of ships: A federated learning approach for maritime surveillance. Results in Engineering. 27. 106297–106297. 2 indexed citations
3.
Jain, Parita, et al.. (2025). Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans. Interdisciplinary Sciences Computational Life Sciences. 18(1). 122–150.
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Verma, Seema, et al.. (2023). Pneumonia Net: Pneumonia Detection and Categorization in Chest X-rayImages. Recent Advances in Computer Science and Communications. 17(3).
9.
Das, Nripendra Narayan, et al.. (2023). A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic Similarity. Ingénierie des systèmes d information. 28(2). 357–365. 1 indexed citations
10.
Das, Nripendra Narayan, et al.. (2023). A Review On: Autism Spectrum Disorder Detection by Machine Learning Using Small Video. 1–8. 2 indexed citations
11.
Das, Nripendra Narayan, et al.. (2023). Utilizing Deep Convolutional Neural Networks and Non-Negative Matrix Factorization for Multi-Modal Image Fusion. International Journal of Advanced Computer Science and Applications. 14(9). 3 indexed citations
12.
Hemalatha, S., et al.. (2022). Automated service assistances to the visually impaired people using android application. World Journal of Engineering. 20(2). 337–345. 1 indexed citations
13.
Kaur, Manjit, et al.. (2021). Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images. Journal of Healthcare Engineering. 2021. 1–9. 60 indexed citations
14.
Kumar, Naresh, et al.. (2021). Efficient Automated Disease Diagnosis Using Machine Learning Models. Journal of Healthcare Engineering. 2021. 1–13. 99 indexed citations
15.
Das, Nripendra Narayan, et al.. (2021). Magnetic Resonance Imaging based Feature Extraction and Selection Methods for Alzheimer Disease Prediction. 23. 454–459. 1 indexed citations
16.
Ghai, Deepika, Shailendra Tiwari, & Nripendra Narayan Das. (2021). Bottom-boosting differential evolution based digital image security analysis. Journal of Information Security and Applications. 61. 102811–102811. 2 indexed citations
17.
Das, Nripendra Narayan, Naresh Kumar, Manjit Kaur, Vijay Kumar, & Dilbag Singh. (2020). Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays. IRBM. 43(2). 114–119. 252 indexed citations breakdown →
18.
Tripathi, Suman Lata, et al.. (2019). A Novel Design of All Digital Phase Locked Loop for Wireless Applications. 33. 1–4. 1 indexed citations
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Das, Nripendra Narayan, et al.. (2018). Application of Big Data Analysis in Industry. SSRN Electronic Journal. 1 indexed citations
20.
Das, Nripendra Narayan, et al.. (2011). Intelligent Decision Support Systems For Admission Management In Higher Education Institutes. International Journal of Artificial Intelligence & Applications. 2(4). 63–70. 17 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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