Arvind Kumar Tiwari

1.7k total citations · 1 hit paper
67 papers, 929 citations indexed

About

Arvind Kumar Tiwari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Arvind Kumar Tiwari has authored 67 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Arvind Kumar Tiwari's work include Machine Learning in Bioinformatics (9 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (6 papers). Arvind Kumar Tiwari is often cited by papers focused on Machine Learning in Bioinformatics (9 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (6 papers). Arvind Kumar Tiwari collaborates with scholars based in India, United States and Nepal. Arvind Kumar Tiwari's co-authors include Brij N. Singh, Rajeev Srivastava, K.K. Shukla, Vipin Tiwari, Sukanta Das, Anand Shanker Tewari, H. S. Shukla, Devraj Singh, Anil Kumar and Ajay Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cellular Biochemistry and Computer Methods and Programs in Biomedicine.

In The Last Decade

Arvind Kumar Tiwari

60 papers receiving 865 citations

Hit Papers

Optimal selection of wavelet basis function applied to EC... 2006 2026 2012 2019 2006 100 200 300 400
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. Optimal selection of wavelet basis function applied to ECG signal denoising
    2006 412 citations Arvind Kumar Tiwari et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Kumar Tiwari India 12 298 181 177 169 157 67 929
Rekh Ram Janghel India 16 358 1.2× 298 1.6× 301 1.7× 110 0.7× 143 0.9× 62 977
Ahmad Ayatollahi Iran 18 173 0.6× 296 1.6× 237 1.3× 288 1.7× 170 1.1× 97 1.2k
Shivajirao M. Jadhav India 15 242 0.8× 474 2.6× 145 0.8× 240 1.4× 173 1.1× 25 1.2k
Farhan Riaz Pakistan 16 119 0.4× 336 1.9× 267 1.5× 317 1.9× 120 0.8× 74 1.2k
Ramesh Kumar Sunkaria India 18 558 1.9× 86 0.5× 350 2.0× 144 0.9× 261 1.7× 94 956
P. Karthigaikumar India 16 217 0.7× 286 1.6× 139 0.8× 381 2.3× 138 0.9× 60 948
Pu Wang China 11 211 0.7× 202 1.1× 169 1.0× 58 0.3× 80 0.5× 43 906
Sung Bum Pan South Korea 15 244 0.8× 131 0.7× 216 1.2× 304 1.8× 222 1.4× 94 875
Xiaohong Han China 16 59 0.2× 379 2.1× 187 1.1× 219 1.3× 63 0.4× 28 915

Countries citing papers authored by Arvind Kumar Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Kumar Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Kumar Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Kumar Tiwari. A scholar is included among the top collaborators of Arvind Kumar Tiwari 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 Arvind Kumar Tiwari. Arvind Kumar Tiwari 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.
Tewari, Anand Shanker, et al.. (2025). A PRISMA-Based Systematic Review on Deep Learning in Multi-Criteria Recommender Systems. Procedia Computer Science. 259. 1533–1542.
2.
Tewari, Anand Shanker, et al.. (2025). NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system. Computers & Electrical Engineering. 123. 110159–110159. 2 indexed citations
3.
Tejyan, Sachin, Arvind Kumar Tiwari, Nitin Kumar, Vedant Singh, & Brijesh Gangil. (2024). Influence of coconut shell ash and cow dung ash reinforcement on the mechanical properties of aluminum alloy composites synthesized by stir casting. Materials Today Proceedings. 2 indexed citations
4.
Singh, Jyoti Prakash, et al.. (2024). An Automated Computed Tomography Scan Analysis Framework for COVID-19 Detection Using Machine Learning. Traitement du signal. 41(4).
5.
Singh, Jyoti Prakash, et al.. (2024). Identification of COVID-19 with CT scans using radiomics and DL-based features. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 2 indexed citations
6.
Tiwari, Arvind Kumar, et al.. (2024). Face Recognition Using LBPH and CNN. Recent Advances in Computer Science and Communications. 17(5). 1 indexed citations
7.
Tewari, Anand Shanker, et al.. (2024). An autoencoder-based deep learning model for solving the sparsity issues of Multi-Criteria Recommender System. Procedia Computer Science. 235. 414–425. 6 indexed citations
8.
Tiwari, Arvind Kumar, et al.. (2023). An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM. Mathematical Problems in Engineering. 2023(1). 4 indexed citations
9.
Tiwari, Arvind Kumar. (2023). A Review on Renewable Energy Sources, Potential and Policy in India. 1–30. 4 indexed citations
10.
Tiwari, Arvind Kumar, et al.. (2021). Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition. SHILAP Revista de lepidopterología. 10 indexed citations
11.
Tiwari, Arvind Kumar, et al.. (2020). A Machine Learning Approaches on Face Detection and Recognition. Solid State Technology. 63(5). 7619–7627. 4 indexed citations
12.
Tiwari, Arvind Kumar, et al.. (2020). An Ensemble Approach for the Prediction of Diabetes. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 12(2). 122–129. 1 indexed citations
13.
Tiwari, Arvind Kumar, et al.. (2020). Machine Learning Techniques for Sentiment Analysis: A Review. SAMRIDDHI A Journal of Physical Sciences Engineering and Technology. 12(2). 72–78. 89 indexed citations
14.
Tiwari, Arvind Kumar, et al.. (2019). Function Prediction of Human Proteins Using Machine Learning Algorithms. SSRN Electronic Journal. 1 indexed citations
15.
Tiwari, Arvind Kumar, et al.. (2019). Machine Learning Approaches for Face Identification Feed Forward Algorithms. SSRN Electronic Journal. 10 indexed citations
16.
Tiwari, Arvind Kumar. (2016). Prediction of Lung Cancer Using Image Processing Techniques: A Review. Zenodo (CERN European Organization for Nuclear Research). 3(1). 1–9. 13 indexed citations
17.
Tiwari, Arvind Kumar & Rajeev Srivastava. (2015). An efficient approach for the prediction of ion channels and their subfamilies. Computational Biology and Chemistry. 58. 205–221. 8 indexed citations
18.
Tiwari, Arvind Kumar, et al.. (2015). Machine Learning Based Approaches For Cancer Classification Using Gene Expression Data. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
19.
Tiwari, Arvind Kumar & Rajeev Srivastava. (2014). A Survey of Computational Intelligence Techniques in Protein Function Prediction. SHILAP Revista de lepidopterología. 2014. 1–22. 26 indexed citations
20.
Singh, Devraj, et al.. (2002). Ultrasonic attenuation in semiconductors. Indian Journal of Pure & Applied Physics. 40(12). 845–849. 8 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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