Venkatramaphanikumar Sistla
- Analytical Chemistry top 10%
- Plant Science top 10%
- Smart Agriculture and AI 7
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 3
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining 6
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- Face and Expression Recognition 5
- Face recognition and analysis 4
- Digital Imaging for Blood Diseases 3
- Advanced Neural Network Applications 3
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- Biometric Identification and Security 4
- Journals
- Journal of Ambient Intelligence and Humanized Computing (2 papers)Measurement (1 paper)The Visual Computer (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Venkatramaphanikumar Sistla
29 papers receiving 423 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Analytical Chemistry 60
- Plant Science 181
- Health Information Management 22
- Artificial Intelligence 122
- Neurology 31
Countries citing papers authored by Venkatramaphanikumar Sistla
This map shows the geographic impact of Venkatramaphanikumar Sistla'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 Venkatramaphanikumar Sistla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkatramaphanikumar Sistla more than expected).
Fields of papers citing papers by Venkatramaphanikumar Sistla
This network shows the impact of papers produced by Venkatramaphanikumar Sistla. 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 Venkatramaphanikumar Sistla. The network helps show where Venkatramaphanikumar Sistla may publish in the future.
Co-authorship network
The 3 scholars most cited alongside Venkatramaphanikumar Sistla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 24 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 73 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 2 | |
| 16 | 2015 | 4 | |
| 17 | 2014 | 5 | |
| 18 | 2014 | 8 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 1 |
About Venkatramaphanikumar Sistla
Venkatramaphanikumar Sistla is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 34 papers that have together received 450 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Face and Expression Recognition (5 papers), Biometric Identification and Security (4 papers), Face recognition and analysis (4 papers), Digital Imaging for Blood Diseases (3 papers), Advanced Neural Network Applications (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Analytical Chemistry (60 citations), Plant Science (181 citations), Health Information Management (22 citations), Artificial Intelligence (122 citations) and Neurology (31 citations). Venkatramaphanikumar Sistla has collaborated with scholars based in India and United States. Frequent co-authors include Venkata Krishna Kishore Kolli, V. Kamakshi Prasad and Debnath Bhattacharyya. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Measurement, The Visual Computer, Applied Intelligence and Biomedical Signal Processing and Control.
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.