Anitha S. Pillai

719 total citations
45 papers, 230 citations indexed

About

Anitha S. Pillai is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Anitha S. Pillai has authored 45 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Health Information Management. Recurrent topics in Anitha S. Pillai's work include Artificial Intelligence in Healthcare (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Software Engineering Techniques and Practices (5 papers). Anitha S. Pillai is often cited by papers focused on Artificial Intelligence in Healthcare (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Software Engineering Techniques and Practices (5 papers). Anitha S. Pillai collaborates with scholars based in India, Poland and Italy. Anitha S. Pillai's co-authors include Shabnam Kumari, P. Venkatesan, Bindu Menon, Anna Bartkowiak, N. Sivakumar, Roberto Tedesco, Bindu Menon, A. Rajesh, Sandhiya Selvarajan and Shabir Ahmad Khan and has published in prestigious journals such as Computers in Biology and Medicine, Journal of Medical Systems and Current Science.

In The Last Decade

Anitha S. Pillai

37 papers receiving 210 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anitha S. Pillai India 9 81 67 35 33 26 45 230
Fazle Rabbi Norway 9 100 1.2× 72 1.1× 15 0.4× 32 1.0× 26 1.0× 41 238
Kashish Ara Shakil Saudi Arabia 7 69 0.9× 78 1.2× 9 0.3× 29 0.9× 38 1.5× 18 212
Anas W. Abulfaraj Saudi Arabia 10 75 0.9× 35 0.5× 31 0.9× 10 0.3× 47 1.8× 26 215
Abdul Wahid India 9 87 1.1× 118 1.8× 14 0.4× 16 0.5× 37 1.4× 31 273
Younès El Bouzekri El Idrissi Morocco 9 56 0.7× 72 1.1× 9 0.3× 27 0.8× 46 1.8× 60 225
Bujar Raufi North Macedonia 9 75 0.9× 78 1.2× 10 0.3× 9 0.3× 52 2.0× 37 249
Nasseh Tabrizi United States 9 98 1.2× 111 1.7× 9 0.3× 17 0.5× 62 2.4× 37 250
A. Mallikarjuna Reddy India 9 41 0.5× 33 0.5× 13 0.4× 36 1.1× 19 0.7× 40 224
Shaochen Zhong United States 3 140 1.7× 42 0.6× 7 0.2× 15 0.5× 28 1.1× 6 278
Amira Rezk Egypt 10 91 1.1× 37 0.6× 56 1.6× 6 0.2× 20 0.8× 25 217

Countries citing papers authored by Anitha S. Pillai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pillai, Anitha S., et al.. (2025). Alzheimer's Disease detection and classification using optimized neural network. Computers in Biology and Medicine. 187. 109810–109810. 3 indexed citations
3.
Pillai, Anitha S., et al.. (2024). Explainable Artificial Intelligence in Healthcare -A Review. 45. 1059–1064. 1 indexed citations
4.
Pillai, Anitha S., et al.. (2024). Text Summarization based on Feature Extraction using GloVe and B-GRU. 517–522. 1 indexed citations
5.
Pillai, Anitha S. & Bindu Menon. (2024). Machine Learning and Deep Learning in Neuroimaging Data Analysis. 2 indexed citations
6.
Pillai, Anitha S. & Roberto Tedesco. (2023). Machine Learning and Deep Learning in Natural Language Processing. 2 indexed citations
7.
Pillai, Anitha S., et al.. (2023). HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES. International Research Journal of Modernization in Engineering Technology and Science. 9 indexed citations
8.
Pillai, Anitha S., et al.. (2023). Sentiment Prediction based on Movie Reviews using Machine Learning Techniques. 37. 1010–1016.
9.
Pillai, Anitha S., et al.. (2023). Fruit Type Classification using Stacked Bi-directional Long Short Term Memory. 1–4. 2 indexed citations
10.
Pillai, Anitha S., et al.. (2022). Extended Reality Usage During COVID 19 Pandemic. Intelligent systems reference library. 7 indexed citations
12.
Pillai, Anitha S., et al.. (2020). Incidence, diagnosis and management of ectopic pregnancies: A review. International Journal of Clinical Obstetrics and Gynaecology. 4(5). 220–223.
13.
Pillai, Anitha S., et al.. (2019). An Efficient Method for the Detection of Oblique Fissures from Computed Tomography images of Lungs. Journal of Medical Systems. 43(8). 252–252. 7 indexed citations
14.
Pillai, Anitha S., et al.. (2019). Personality Identification from Social Media Using Deep Learning: A Review. Advances in intelligent systems and computing. 523–534. 6 indexed citations
15.
Pillai, Anitha S., et al.. (2015). Big Data solutions in Healthcare: Problems and perspectives. 1–6. 36 indexed citations
16.
Pillai, Anitha S., et al.. (2015). Predicting Cervical Carcinoma Stages Identification using SVM Classifier. International Journal of Computer Trends and Technology. 22(3). 122–125. 1 indexed citations
17.
Kumari, Shabnam & Anitha S. Pillai. (2014). A study on project scope as a requirements elicitation issue. 1. 510–514. 12 indexed citations
18.
Kumari, Shabnam & Anitha S. Pillai. (2012). State-of-the-Practice Survey and Comparison in Requirements Engineering in Healthcare it Projects. 1 indexed citations
19.
Khan, Shabir Ahmad, et al.. (2011). A NETWORK ENGINEERING SOLUTION FOR DATA SHARING ACROSS HEALTHCARE PROVIDERS AND PROTECTS PATIENTS HEALTH DATA PRIVACY USING EHR SYSTEM. Journal of Global Research in Computer Sciences. 2(8). 67–72. 2 indexed citations
20.
Venkatesan, P. & Anitha S. Pillai. (2006). Application of a radial basis function neural network for diagnosis of diabetes mellitus. Current Science. 91(9). 1195–1199. 10 indexed citations

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.

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