Amrendra Tripathi

708 total citations
24 papers, 418 citations indexed

About

Amrendra Tripathi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications. According to data from OpenAlex, Amrendra Tripathi has authored 24 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 4 papers in Computer Networks and Communications. Recurrent topics in Amrendra Tripathi's work include Advanced Image Fusion Techniques (9 papers), Image and Signal Denoising Methods (6 papers) and IoT and Edge/Fog Computing (4 papers). Amrendra Tripathi is often cited by papers focused on Advanced Image Fusion Techniques (9 papers), Image and Signal Denoising Methods (6 papers) and IoT and Edge/Fog Computing (4 papers). Amrendra Tripathi collaborates with scholars based in India, Iran and Iraq. Amrendra Tripathi's co-authors include Prabhishek Singh, Manoj Diwakar, Kapil Joshi, Sudipta Mukhopadhyay, Minakshi Memoria, Neeraj Kumar, Ayush Sharma, A. Ramalingam, Kanika Sharma and Ankur Dumka and has published in prestigious journals such as Biomedical Signal Processing and Control, Materials Today Proceedings and Journal of Applied Biomedicine.

In The Last Decade

Amrendra Tripathi

23 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amrendra Tripathi India 11 174 106 89 82 72 24 418
Grace Ugochi Nneji China 14 118 0.7× 32 0.3× 50 0.6× 236 2.9× 263 3.7× 45 477
Hüseyin Kutlu Türkiye 5 240 1.4× 34 0.3× 20 0.2× 159 1.9× 128 1.8× 7 366
Amanullah Asraf Bangladesh 4 90 0.5× 15 0.1× 34 0.4× 277 3.4× 375 5.2× 4 553
Ranjan K. Senapati India 11 211 1.2× 20 0.2× 18 0.2× 30 0.4× 49 0.7× 49 293
Md. Zabirul Islam Bangladesh 3 90 0.5× 14 0.1× 34 0.4× 271 3.3× 365 5.1× 5 545
Muhammad Bilal Saudi Arabia 10 187 1.1× 38 0.4× 44 0.5× 52 0.6× 97 1.3× 44 411
V. Vaithiyanathan India 10 132 0.8× 36 0.3× 26 0.3× 81 1.0× 10 0.1× 58 330
Vipul Narayan India 11 74 0.4× 7 0.1× 63 0.7× 104 1.3× 78 1.1× 22 452
Lijia Deng United Kingdom 7 112 0.6× 22 0.2× 7 0.1× 94 1.1× 54 0.8× 9 360
Mohamed Ksantini Tunisia 9 56 0.3× 29 0.3× 21 0.2× 77 0.9× 31 0.4× 32 287

Countries citing papers authored by Amrendra Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Amrendra Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amrendra Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Amrendra Tripathi. A scholar is included among the top collaborators of Amrendra Tripathi 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 Amrendra Tripathi. Amrendra Tripathi 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.
Diwakar, Manoj, et al.. (2023). An efficient reversible data hiding using SVD over a novel weighted iterative anisotropic total variation based denoised medical images. Biomedical Signal Processing and Control. 82. 104563–104563. 15 indexed citations
2.
Tripathi, Amrendra & Tanupriya Choudhury. (2023). EEG Based Emotion Recognition Using Long Short Term Memory Network with Improved Rat Swarm Optimization Algorithm. Revue d intelligence artificielle. 37(2). 281–289. 1 indexed citations
3.
Tripathi, Amrendra & Tanupriya Choudhury. (2023). Permuted layer-based CNN for Emotion Detection with Multi-Modality Physiological Signals. 1–5. 2 indexed citations
4.
Kumar, Vivek, et al.. (2023). Multi Modalities Medical Image Fusion Using Deep Learning and Metaverse Technology: Healthcare 4.0 A Futuristic Approach. Biomedical & Pharmacology Journal. 16(4). 1949–1959. 4 indexed citations
5.
Tripathi, Amrendra, et al.. (2022). The Role of Internet of Things (IOT) for Cloud Computing Based Smart Grid Application for Better Energy Management using Mediation Analysis Approach. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 107–111. 3 indexed citations
6.
Singh, Prabhishek, et al.. (2022). A homomorphic non-subsampled contourlet transform based ultrasound image despeckling by novel thresholding function and self-organizing map. Journal of Applied Biomedicine. 42(2). 512–528. 12 indexed citations
7.
Ahamad, Shahanawaj, et al.. (2022). A Detailed Analysis of the Critical Role of artificial intelligence in Enabling High-Performance Cloud Computing Systems. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 156–159. 10 indexed citations
8.
Memoria, Minakshi, et al.. (2022). A Comprehensive Review Study on: Optimized Data Mining, Machine Learning and Deep Learning Techniques for Breast Cancer Prediction in Big Data Context. Biomedical & Pharmacology Journal. 15(1). 13–25. 15 indexed citations
9.
Othman, Bestoon, et al.. (2022). The Emerging Role of Integrating Artificial Intelligence (Ai) in the Software Defined Network for Effective Traffic Prediction using Correlation Analysis. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 116–120.
10.
Singh, Prabhishek, et al.. (2021). A Non-conventional Review on Image Fusion Techniques. 1–7. 4 indexed citations
11.
Diwakar, Manoj, et al.. (2021). A Review of Neural Machine Translation based on Deep learning techniques. 1–5. 7 indexed citations
12.
Tripathi, Amrendra, Rahul Sharma, Minakshi Memoria, et al.. (2021). A Review Analysis on Face Recognition System with User Interface System. Journal of Physics Conference Series. 1854(1). 12024–12024. 10 indexed citations
13.
14.
Ramalingam, A., et al.. (2020). Predicting the time period of extension of lockdown due to increase in rate of COVID-19 cases in India using machine learning. Materials Today Proceedings. 37. 2617–2622. 26 indexed citations
15.
Diwakar, Manoj, Amrendra Tripathi, Kapil Joshi, et al.. (2020). A comparative review: Medical image fusion using SWT and DWT. Materials Today Proceedings. 37. 3411–3416. 44 indexed citations
16.
Tripathi, Amrendra, et al.. (2020). Clustering based Multi-modality Medical Image Fusion. Journal of Physics Conference Series. 1478(1). 12024–12024. 36 indexed citations
17.
Diwakar, Manoj, Amrendra Tripathi, Kapil Joshi, et al.. (2020). Latest trends on heart disease prediction using machine learning and image fusion. Materials Today Proceedings. 37. 3213–3218. 109 indexed citations
18.
Choudhury, Tanupriya, et al.. (2018). A Computation Classified Analysis Based on Socio Economic Cost for University Students Accommodation. 4. 504–510. 1 indexed citations
19.
Diwakar, Manoj, et al.. (2013). An Impact of Biometric System Applications Services on Biometric Service Market. International Journal of Computer Applications. 76(13). 8–13. 1 indexed citations
20.
Tripathi, Amrendra & Sudipta Mukhopadhyay. (2012). Single image fog removal using anisotropic diffusion. IET Image Processing. 6(7). 966–975. 69 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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