Anitha S. Pillai
- Artificial Intelligence
- Information Systems top 10%
- Health Information Management top 5%
- Management Information Systems
- Computer Networks and Communications
- Co-authors
- Shabnam KumariP. VenkatesanN. SivakumarBindu MenonA. RajeshAnna BartkowiakRoberto TedescoPrasanth Ganesan
- Topics
- Artificial Intelligence in Healthcare (7 papers)Sentiment Analysis and Opinion Mining (5 papers)Software Engineering Techniques and Practices (5 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Anitha S. Pillai
37 papers receiving 210 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 81
- Information Systems 67
- Health Information Management 35
- Management Information Systems 33
- Computer Networks and Communications 26
Countries citing papers authored by Anitha S. Pillai
This map shows the geographic impact of Anitha S. Pillai'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 Anitha S. Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anitha S. Pillai more than expected).
Fields of papers citing papers by Anitha S. Pillai
This network shows the impact of papers produced by Anitha S. Pillai. 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 Anitha S. Pillai. The network helps show where Anitha S. Pillai may publish in the future.
Co-authorship network of co-authors of Anitha S. Pillai
This figure shows the co-authorship network connecting the top 25 collaborators of Anitha S. Pillai. A scholar is included among the top collaborators of Anitha S. Pillai 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 Anitha S. Pillai. Anitha S. Pillai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | A NETWORK ENGINEERING SOLUTION FOR DATA SHARING ACROSS HEALTHCARE PROVIDERS AND PROTECTS PATIENTS HEALTH DATA PRIVACY USING EHR SYSTEM | 2 |
| 20 | Application of a radial basis function neural network for diagnosis of diabetes mellitus | 10 |
About Anitha S. Pillai
Anitha S. Pillai is a scholar working on Health Information Management, Software and Information Systems, having authored 45 papers that have together received 230 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Software Engineering Techniques and Practices (5 papers). The work is most often cited by research in Health Information Management (35 citations), Management Information Systems (33 citations) and Health Informatics (5 citations). Anitha S. Pillai has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Shabnam Kumari, P. Venkatesan, N. Sivakumar, Bindu Menon, Bindu Menon, A. Rajesh, Anna Bartkowiak, Roberto Tedesco, Prasanth Ganesan and Sandhiya Selvarajan. Their work appears in journals such as Computers in Biology and Medicine, Journal of Medical Systems and Current Science.
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.