Nivedhitha Mahendran

408 total citations
11 papers, 272 citations indexed

About

Nivedhitha Mahendran is a scholar working on Experimental and Cognitive Psychology, Molecular Biology and Health Information Management. According to data from OpenAlex, Nivedhitha Mahendran has authored 11 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 3 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Nivedhitha Mahendran's work include Mental Health Research Topics (4 papers), Artificial Intelligence in Healthcare (3 papers) and Gene expression and cancer classification (3 papers). Nivedhitha Mahendran is often cited by papers focused on Mental Health Research Topics (4 papers), Artificial Intelligence in Healthcare (3 papers) and Gene expression and cancer classification (3 papers). Nivedhitha Mahendran collaborates with scholars based in India, Taiwan and Sri Lanka. Nivedhitha Mahendran's co-authors include P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan‐Yu Chang, Vishal Sharma, Dushantha Nalin K. Jayakody, Akhil Garg, Liang Gao, Daniel Gutiérrez Reina, Shabbir Syed-Abdul and Jamel Nebhen and has published in prestigious journals such as IEEE Access, Sensors and Computers in Biology and Medicine.

In The Last Decade

Nivedhitha Mahendran

10 papers receiving 266 citations

Peers

Nivedhitha Mahendran

CVPR

NEURO

HIM

Dimitris Liparas Greece

Jiaoyun Yang China

Veeky Baths India

Fabian Eitel Germany

Patrizia Vizza Italy

Nirmala Madian India

Yifei Bi China

Xu Ma China

Md Abdur Rahaman United States

Manan Binth Taj Noor Bangladesh

Dimitris Liparas Greece

Nivedhitha Mahendran

51 ×0.5

19 ×0.3

22 ×0.7

CVPR

46 ×1.4

NEURO

22 ×0.7

HIM

Citations per year, relative to Nivedhitha Mahendran Nivedhitha Mahendran (= 1×) peers Dimitris Liparas

Countries citing papers authored by Nivedhitha Mahendran

Since Specialization

Citations

This map shows the geographic impact of Nivedhitha Mahendran'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 Nivedhitha Mahendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nivedhitha Mahendran more than expected).

Fields of papers citing papers by Nivedhitha Mahendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nivedhitha Mahendran. 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 Nivedhitha Mahendran. The network helps show where Nivedhitha Mahendran may publish in the future.

Co-authorship network of co-authors of Nivedhitha Mahendran

This figure shows the co-authorship network connecting the top 25 collaborators of Nivedhitha Mahendran. A scholar is included among the top collaborators of Nivedhitha Mahendran 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 Nivedhitha Mahendran. Nivedhitha Mahendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Mahendran, Nivedhitha & P. M. Durai Raj Vincent. (2024). Alzheimer’s Disease Classification via Pre-trained Convolutional Neural Network Variants Utilizing Multi-level Thresholding based on Kapur’s Entropy. 1–6.

Kumar, Alok & Nivedhitha Mahendran. (2024). Robust Framework for Diagnosing Novel Corona Virus from CT images using Support Vector Binary Classifier. 5(4). 416–433. 1 indexed citations

Mahendran, Nivedhitha & P. M. Durai Raj Vincent. (2023). Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data. Computational and Structural Biotechnology Journal. 21. 1651–1660. 15 indexed citations

Mahendran, Nivedhitha, P. M. Durai Raj Vincent, Kathiravan Srinivasan, & Chuan‐Yu Chang. (2021). Improving the Classification of Alzheimer’s Disease Using Hybrid Gene Selection Pipeline and Deep Learning. Frontiers in Genetics. 12. 784814–784814. 34 indexed citations

Vincent, P. M. Durai Raj, Nivedhitha Mahendran, Jamel Nebhen, et al.. (2021). Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times. Computational Intelligence and Neuroscience. 2021(1). 9950332–9950332. 4 indexed citations

Mahendran, Nivedhitha & P. M. Durai Raj Vincent. (2021). A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease. Computers in Biology and Medicine. 141. 105056–105056. 87 indexed citations

Srinivasan, Kathiravan, Nivedhitha Mahendran, P. M. Durai Raj Vincent, Chuan‐Yu Chang, & Shabbir Syed-Abdul. (2020). Realizing an Integrated Multistage Support Vector Machine Model for Augmented Recognition of Unipolar Depression. Electronics. 9(4). 647–647. 13 indexed citations

Mahendran, Nivedhitha, P. M. Durai Raj Vincent, Kathiravan Srinivasan, & Chuan‐Yu Chang. (2020). Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions. Frontiers in Genetics. 11. 603808–603808. 52 indexed citations

Mahendran, Nivedhitha, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Vishal Sharma, & Dushantha Nalin K. Jayakody. (2020). Realizing a Stacking Generalization Model to Improve the Prediction Accuracy of Major Depressive Disorder in Adults. IEEE Access. 8. 49509–49522. 29 indexed citations

10.

Mahendran, Nivedhitha, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.. (2019). Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder. Sensors. 19(22). 4822–4822. 31 indexed citations

11.

Mahendran, Nivedhitha & P. M. Durai Raj Vincent. (2018). Effective Classification of Major Depressive Disorder Patients Using Machine Learning Techniques. Recent Patents on Computer Science. 12(1). 41–48. 6 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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