Teekam Singh
Impact in
- Modeling and Simulation top 10%
-
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
Papers in
-
- Digital Media Forensic Detection 10
- Advanced Steganography and Watermarking Techniques 7
- Chaos-based Image/Signal Encryption 6
- Generative Adversarial Networks and Image Synthesis 5
- Co-authors
- Kamred Udham Singh (49 shared papers)Ankit Kumar (33 shared papers)Sandip Banerjee (3 shared papers)Saroj Kumar Pandey (24 shared papers)Turki Aljrees (8 shared papers)Chandradeep Bhatt (16 shared papers)Dhirendra Prasad Yadav (7 shared papers)Mukesh Kumar (7 shared papers)
- Journals
- International Journal of Bifurcation and Chaos (4 papers)Applied Sciences (3 papers)Chaos Solitons & Fractals (3 papers)Scientific Reports (3 papers)Electronics (2 papers)
- Partner nations
- IndiaSaudi ArabiaTaiwan
In The Last Decade
Teekam Singh
71 papers receiving 392 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 31
- Computer Vision and Pattern Recognition 117
- Public Health, Environmental and Occupational Health 109
- Neurology 23
- Genetics 73
Countries citing papers authored by Teekam Singh
This map shows the geographic impact of Teekam Singh'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 Teekam Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teekam Singh more than expected).
Fields of papers citing papers by Teekam Singh
This network shows the impact of papers produced by Teekam Singh. 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 Teekam Singh. The network helps show where Teekam Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Teekam Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 26 | |
| 2 | 2023 | 21 | |
| 3 | 2019 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2019 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Teekam Singh
Teekam Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Public Health, Environmental and Occupational Health, Computer Networks and Communications and Genetics, having authored 93 papers that have together received 414 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Evolution and Genetic Dynamics (11 papers), Digital Media Forensic Detection (10 papers), COVID-19 diagnosis using AI (8 papers), Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Modeling and Simulation (31 citations), Computer Vision and Pattern Recognition (117 citations), Public Health, Environmental and Occupational Health (109 citations), Neurology (23 citations) and Genetics (73 citations). Teekam Singh has collaborated with scholars based in India, Saudi Arabia and Taiwan. Frequent co-authors include Kamred Udham Singh, Ankit Kumar, Sandip Banerjee, Saroj Kumar Pandey, Turki Aljrees, Chandradeep Bhatt, Dhirendra Prasad Yadav, Mukesh Kumar, Rahul Chauhan and Vishnu Narayan Mishra. Their work appears in journals such as International Journal of Bifurcation and Chaos, Applied Sciences, Chaos Solitons & Fractals, Scientific Reports and Electronics.
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.