Abhineet Anand
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses 3
- Plant Science top 10%
- Smart Agriculture and AI 6
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 4
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- IoT and Edge/Fog Computing 9
- Network Traffic and Congestion Control 3
- Information Systems top 10%
- Cloud Computing and Resource Management 4
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- Complex Network Analysis Techniques 3
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- Chaos-based Image/Signal Encryption 3
Abhineet Anand
40 papers receiving 448 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Analytical Chemistry 67
- Plant Science 208
- Health Information Management 20
- Computer Networks and Communications 77
- Information Systems 64
Countries citing papers authored by Abhineet Anand
This map shows the geographic impact of Abhineet Anand'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 Abhineet Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhineet Anand more than expected).
Fields of papers citing papers by Abhineet Anand
This network shows the impact of papers produced by Abhineet Anand. 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 Abhineet Anand. The network helps show where Abhineet Anand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhineet Anand, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 7 | |
| 12 | Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Networkbreakdown → | 2021 | 235 |
| 13 | Digital Video Watermarking: Features, Techniques, and Challenges | 2021 | 3 |
| 14 | 2017 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 4 | |
| 18 | Traffic management in MPLS network using GNS simulator using class for different services | 2015 | 3 |
| 19 | MPLS VPN using IPv4 and IPv6 protocol | 2015 | 3 |
| 20 | 2013 | 1 |
About Abhineet Anand
Abhineet Anand is a scholar working on Health Information Management, Computer Networks and Communications, Business and International Management, Information Systems and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 490 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Smart Agriculture and AI (6 papers), Artificial Intelligence in Healthcare (4 papers), Cloud Computing and Resource Management (4 papers), Complex Network Analysis Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Network Traffic and Congestion Control (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Analytical Chemistry (67 citations), Plant Science (208 citations), Health Information Management (20 citations), Computer Networks and Communications (77 citations) and Information Systems (64 citations). Abhineet Anand has collaborated with scholars based in India, Indonesia and Pakistan. Frequent co-authors include Vinay Gautam, Naresh Kumar Trivedi, Nitin Goyal, Divya Anand, Seifedine Kadry, Hani Moaiteq Aljahdali, Santos Gràcia Villar, Vishal Dutt, Ankit Bansal and Raj Gaurang Tiwari. Their work appears in journals such as Indian Journal of Science and Technology, Sensors, ECS Transactions, Journal of Cases on Information Technology and AEU - International Journal of Electronics and Communications.
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.