Jose Anand
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Miroslav MahdalElangovan MuniyandyM. DasK. KalaiselviPoonam TanwarHaider RazaK. SaravananSean T. Hannah
- Topics
- IoT-based Smart Home Systems (5 papers)Energy Efficient Wireless Sensor Networks (5 papers)Smart Agriculture and AI (4 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Jose Anand
41 papers receiving 215 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 58
- Information Systems 55
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 43
- Computer Networks and Communications 40
Countries citing papers authored by Jose Anand
This map shows the geographic impact of Jose 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 Jose Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose Anand more than expected).
Fields of papers citing papers by Jose Anand
This network shows the impact of papers produced by Jose 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 Jose Anand. The network helps show where Jose Anand may publish in the future.
Co-authorship network of co-authors of Jose Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Jose Anand. A scholar is included among the top collaborators of Jose Anand 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 Jose Anand. Jose Anand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | Optimal Routing Path using Trident Form in Wearable Biomedical Wireless Sensor Networks | 5 |
| 14 | 27 | |
| 15 | 7 | |
| 16 | A Novel Cardiac Arrest Alerting System using IoT | 15 |
| 17 | Automatic Irrigation System using Fuzzy Logic | 15 |
| 18 | 12 | |
| 19 | 2 | |
| 20 | Efficient security for Desktop Data Grid using cryptographic protocol | 3 |
About Jose Anand
Jose Anand is a scholar working on Business and International Management, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 264 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Information Systems (55 citations), Computer Vision and Pattern Recognition (43 citations) and Signal Processing (19 citations). Jose Anand has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Miroslav Mahdal, Elangovan Muniyandy, M. Das, K. Kalaiselvi, Poonam Tanwar, Haider Raza, K. Saravanan, Sean T. Hannah, T. Anuradha and Gajula Ramesh. Their work appears in journals such as Materials Today Proceedings, Processes and Recent Patents on Nanotechnology.
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.