Latha Parthiban
- Artificial Intelligence top 5%
- Information Systems top 5%
- Health Information Management top 1%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- R. SubramanianT. P. LatchoumiR. ParthibanRavi P. RamachandranS. JanakiramanA. ThangamaniAngelina GeethaS. Selvakumar
- Topics
- Artificial Intelligence in Healthcare (8 papers)Face and Expression Recognition (7 papers)Cryptography and Data Security (7 papers)
In The Last Decade
Latha Parthiban
77 papers receiving 597 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 251
- Information Systems 216
- Health Information Management 152
- Computer Networks and Communications 151
- Computer Vision and Pattern Recognition 97
Countries citing papers authored by Latha Parthiban
This map shows the geographic impact of Latha Parthiban'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 Latha Parthiban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latha Parthiban more than expected).
Fields of papers citing papers by Latha Parthiban
This network shows the impact of papers produced by Latha Parthiban. 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 Latha Parthiban. The network helps show where Latha Parthiban may publish in the future.
Co-authorship network of co-authors of Latha Parthiban
This figure shows the co-authorship network connecting the top 25 collaborators of Latha Parthiban. A scholar is included among the top collaborators of Latha Parthiban 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 Latha Parthiban. Latha Parthiban 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 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | An Effective Quasi Oppositional Social Spider Optimization Based Feature Selection with Pattern Matching Based Classification Model | 1 |
| 10 | An Optimal Deep Neural Network Model for Lymph Disease Identification And Classification | 0 |
| 11 | Opinion Mining On Product Data Using Modified SVM | 0 |
| 12 | 10 | |
| 13 | 4 | |
| 14 | Abnormality detection using weighed particle swarm optimization and smooth support vector machine | 34 |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | ROI DETECTION AND SEGMENTATION OF MEDICAL IMAGES USING OPTIMIZED THRESHOLDING AND CLUSTERING | 2 |
| 19 | Back propagation Neural network modeling approach in the anaerobic digestion of wastewater treatment | 5 |
| 20 | Biosorption of Lead with Turbinaria Conoides and Neuro Fuzzy Modelling | 1 |
About Latha Parthiban
Latha Parthiban is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Information Systems, having authored 90 papers that have together received 691 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), Face and Expression Recognition (7 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Health Information Management (152 citations), Information Systems (216 citations) and Neurology (66 citations). Latha Parthiban has collaborated with scholars based in India, Singapore and Bahrain. Frequent co-authors include R. Subramanian, T. P. Latchoumi, R. Parthiban, Ravi P. Ramachandran, S. Janakiraman, A. Thangamani, Angelina Geetha, S. Selvakumar, R. Senthilkumar and S. Vijay Bhanu. Their work appears in journals such as IEEE Access, Journal of Neuroscience Methods and Journal of Molecular Structure.
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.