Yadala Sucharitha
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Health Information Management top 5%
- Management Science and Operations Research
- Co-authors
- Pundru Chandra Shaker ReddyV. ParthasarathyShafiqul AbidinV. Kamakshi PrasadNaveen KumarIftikhar Aslam Tayubi
- Topics
- IoT and Edge/Fog Computing (3 papers)Artificial Intelligence in Healthcare (3 papers)Energy Efficient Wireless Sensor Networks (3 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Yadala Sucharitha
19 papers receiving 261 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 94
- Electrical and Electronic Engineering 64
- Computer Networks and Communications 44
- Health Information Management 35
- Management Science and Operations Research 30
Countries citing papers authored by Yadala Sucharitha
This map shows the geographic impact of Yadala Sucharitha'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 Yadala Sucharitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadala Sucharitha more than expected).
Fields of papers citing papers by Yadala Sucharitha
This network shows the impact of papers produced by Yadala Sucharitha. 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 Yadala Sucharitha. The network helps show where Yadala Sucharitha may publish in the future.
Co-authorship network of co-authors of Yadala Sucharitha
This figure shows the co-authorship network connecting the top 25 collaborators of Yadala Sucharitha. A scholar is included among the top collaborators of Yadala Sucharitha 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 Yadala Sucharitha. Yadala Sucharitha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 40 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 40 | |
| 14 | 1 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | Wireless Communication Without the Need for Pre-Shared Secrets is Consummate Via the Use of Spread Spectrum Technology | 5 |
| 18 | Forecasting of Covid-19 Virus Spread Using Machine Learning Algorithm | 14 |
| 19 | 0 | |
| 20 | Emergent Events Identification in Micro- Blogging Networks Using Location Sensitivity | 2 |
About Yadala Sucharitha
Yadala Sucharitha is a scholar working on Health Informatics, Health Information Management and Computer Networks and Communications, having authored 25 papers that have together received 275 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Artificial Intelligence in Healthcare (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Health Information Management (35 citations), Health Informatics (7 citations) and Artificial Intelligence (94 citations). Yadala Sucharitha has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Pundru Chandra Shaker Reddy, V. Parthasarathy, Shafiqul Abidin, V. Kamakshi Prasad, Naveen Kumar and Iftikhar Aslam Tayubi. Their work appears in journals such as Artificial Intelligence Review, Journal of Sensors and Recent Patents on Engineering.
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.