Anil Kumar Tiwari
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Media Technology top 10%
- Cognitive Neuroscience
- Co-authors
- Vinit JakhetiyaSunil JaiswalManoj AlwaniOscar C. AuAyush KumarVikas ChoudharyLokesh Kumar SharmaWei Dai
- Topics
- Image and Signal Denoising Methods (17 papers)Advanced Image Processing Techniques (15 papers)Advanced Data Compression Techniques (12 papers)
In The Last Decade
Anil Kumar Tiwari
46 papers receiving 252 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 178
- Signal Processing 45
- Artificial Intelligence 36
- Media Technology 33
- Cognitive Neuroscience 29
Countries citing papers authored by Anil Kumar Tiwari
This map shows the geographic impact of Anil 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 Anil 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 Anil Kumar Tiwari more than expected).
Fields of papers citing papers by Anil Kumar Tiwari
This network shows the impact of papers produced by Anil 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 Anil Kumar Tiwari. The network helps show where Anil Kumar Tiwari may publish in the future.
Co-authorship network of co-authors of Anil Kumar Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Tiwari. A scholar is included among the top collaborators of Anil 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 Anil Kumar Tiwari. Anil Kumar Tiwari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | Analysis of Mass Based and Density Based Clustering Techniques on Numerical Datasets | 1 |
| 16 | Comparative Study of Artificial Neural Network based Classification for Liver Patient | 5 |
| 17 | 0 | |
| 18 | An efficient two pass lossless invisible watermarking algorithm for natural images | 0 |
| 19 | 20 | |
| 20 | 8 |
About Anil Kumar Tiwari
Anil Kumar Tiwari is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 56 papers that have together received 269 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Advanced Image Processing Techniques (15 papers) and Advanced Data Compression Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Signal Processing (45 citations) and Media Technology (33 citations). Anil Kumar Tiwari has collaborated with scholars based in India, Hong Kong and Singapore. Frequent co-authors include Vinit Jakhetiya, Sunil Jaiswal, Manoj Alwani, Oscar C. Au, Ayush Kumar, Vikas Choudhary, Lokesh Kumar Sharma, Wei Dai, Saurabh Maheshwari and Gaurav Mittal. Their work appears in journals such as Neurocomputing, Computer Methods and Programs in Biomedicine and Spectrochimica Acta Part B Atomic Spectroscopy.
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.