Samarth Bharadwaj
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Genetics
- Co-authors
- Mayank VatsaRicha SinghHimanshu S. BhattTejas I. DhamechaAfzel NooreGaurav GoswamiNalini RathaAkshay Agarwal
- Topics
- Face recognition and analysis (16 papers)Biometric Identification and Security (14 papers)Face and Expression Recognition (12 papers)
- Journals
- Pattern RecognitionIEEE Transactions on Information Forensics and SecurityEURASIP Journal on Image and Video Processing
- Partner nations
- IndiaUnited States
In The Last Decade
Samarth Bharadwaj
26 papers receiving 925 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 784
- Signal Processing 708
- Information Systems 158
- Artificial Intelligence 100
- Genetics 45
Countries citing papers authored by Samarth Bharadwaj
This map shows the geographic impact of Samarth Bharadwaj'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 Samarth Bharadwaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarth Bharadwaj more than expected).
Fields of papers citing papers by Samarth Bharadwaj
This network shows the impact of papers produced by Samarth Bharadwaj. 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 Samarth Bharadwaj. The network helps show where Samarth Bharadwaj may publish in the future.
Co-authorship network of co-authors of Samarth Bharadwaj
This figure shows the co-authorship network connecting the top 25 collaborators of Samarth Bharadwaj. A scholar is included among the top collaborators of Samarth Bharadwaj 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 Samarth Bharadwaj. Samarth Bharadwaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 75 | |
| 9 | Biometric quality : from assessment to multibiometrics | 2 |
| 10 | 19 | |
| 11 | 75 | |
| 12 | 166 | |
| 13 | 12 | |
| 14 | Memetic approach for matching sketches with digital face images | 25 |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 119 | |
| 18 | 39 | |
| 19 | 4 | |
| 20 | 70 |
About Samarth Bharadwaj
Samarth Bharadwaj is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 979 indexed citations. Recurring topics across this work include Face recognition and analysis (16 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (12 papers). The work is most often cited by research in Signal Processing (708 citations), Computer Vision and Pattern Recognition (784 citations) and Information Systems (158 citations). Samarth Bharadwaj has collaborated with scholars based in India and United States. Frequent co-authors include Mayank Vatsa, Richa Singh, Himanshu S. Bhatt, Tejas I. Dhamecha, Afzel Noore, Gaurav Goswami, Nalini Ratha, Akshay Agarwal, Sanjay Kumar Singh and Preethi Jyothi. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Information Forensics and Security and EURASIP Journal on Image and Video Processing.
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.