Thulasi Bikku
- Artificial Intelligence top 10%
- Health Information Management top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Networks and Communications
- Co-authors
- N. Sambasiva RaoS. Phani PraveenUddagiri SirishaParvathaneni Naga SrinivasuAnil Kumar BudatiMalligunta Kiran KumarKranthi Kumar SingamaneniArepalli Peda Gopi
- Topics
- Artificial Intelligence in Healthcare (7 papers)Imbalanced Data Classification Techniques (4 papers)Spam and Phishing Detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsThe Journal of Physical Chemistry A
- Partner nations
- IndiaChileUnited States
In The Last Decade
Thulasi Bikku
34 papers receiving 233 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 115
- Health Information Management 48
- Computer Vision and Pattern Recognition 48
- Information Systems 30
- Computer Networks and Communications 27
Countries citing papers authored by Thulasi Bikku
This map shows the geographic impact of Thulasi Bikku'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 Thulasi Bikku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thulasi Bikku more than expected).
Fields of papers citing papers by Thulasi Bikku
This network shows the impact of papers produced by Thulasi Bikku. 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 Thulasi Bikku. The network helps show where Thulasi Bikku may publish in the future.
Co-authorship network of co-authors of Thulasi Bikku
This figure shows the co-authorship network connecting the top 25 collaborators of Thulasi Bikku. A scholar is included among the top collaborators of Thulasi Bikku 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 Thulasi Bikku. Thulasi Bikku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 0 |
About Thulasi Bikku
Thulasi Bikku is a scholar working on Health Information Management, Artificial Intelligence and Signal Processing, having authored 42 papers that have together received 244 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Imbalanced Data Classification Techniques (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Health Information Management (48 citations), Artificial Intelligence (115 citations) and Health Informatics (4 citations). Thulasi Bikku has collaborated with scholars based in India, Chile and United States. Frequent co-authors include N. Sambasiva Rao, S. Phani Praveen, Uddagiri Sirisha, Parvathaneni Naga Srinivasu, Anil Kumar Budati, Malligunta Kiran Kumar, Kranthi Kumar Singamaneni, Arepalli Peda Gopi, V. Lakshman Narayana and Yamil J. Colón. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Physical Chemistry A.
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.