Jyothi Thomas

447 total citations
23 papers, 198 citations indexed

About

Jyothi Thomas is a scholar working on Artificial Intelligence, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jyothi Thomas has authored 23 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Epidemiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jyothi Thomas's work include AI in cancer detection (7 papers), Cervical Cancer and HPV Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jyothi Thomas is often cited by papers focused on AI in cancer detection (7 papers), Cervical Cancer and HPV Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jyothi Thomas collaborates with scholars based in India and Australia. Jyothi Thomas's co-authors include Nick Barnes, Alan Blair and Bhadrachalam Chitturi and has published in prestigious journals such as Multimedia Tools and Applications, Asian Journal of Psychiatry and Biology Open.

In The Last Decade

Jyothi Thomas

15 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyothi Thomas India 5 122 71 29 29 20 23 198
Aikaterini Prountzou Greece 6 80 0.7× 33 0.5× 24 0.8× 10 0.3× 10 0.5× 7 270
Xiao Wen China 5 33 0.3× 100 1.4× 10 0.3× 8 0.3× 12 0.6× 14 254
Ahmet Saygılı Türkiye 9 27 0.2× 104 1.5× 4 0.1× 10 0.3× 47 2.4× 29 264
Di Miao China 8 16 0.1× 55 0.8× 2 0.1× 16 0.6× 26 1.3× 20 239
Zi Lin China 7 6 0.0× 98 1.4× 8 0.3× 20 0.7× 48 2.4× 13 157
M. Nalini India 7 23 0.2× 51 0.7× 1 0.0× 26 0.9× 26 1.3× 40 156
Gaurav Sethi India 8 4 0.0× 46 0.6× 7 0.2× 45 1.6× 40 2.0× 32 198
S. Sophia India 5 7 0.1× 34 0.5× 5 0.2× 7 0.2× 13 0.7× 15 246
Sherif E. Abdelhamid United States 6 39 0.3× 23 0.3× 5 0.2× 52 2.6× 19 266
R. Revathi India 6 9 0.1× 23 0.3× 2 0.1× 6 0.2× 30 1.5× 52 130

Countries citing papers authored by Jyothi Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Jyothi Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyothi Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Jyothi Thomas. A scholar is included among the top collaborators of Jyothi Thomas 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 Jyothi Thomas. Jyothi Thomas 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.
Thomas, Jyothi, et al.. (2024). Deep learning-based cervical lesion segmentation in colposcopic images. 3(1). 16–25. 1 indexed citations
2.
Thomas, Jyothi, et al.. (2024). CMT-CNN: colposcopic multimodal temporal hybrid deep learning model to detect cervical intraepithelial neoplasia. International Journal of Advances in Intelligent Informatics. 10(2). 317–317. 1 indexed citations
3.
Thomas, Jyothi, et al.. (2024). Nondestructive and cost-effective silkworm, Bombyx mori (Lepidoptera: Bombycidae) cocoon sex classification using machine learning. International Journal of Tropical Insect Science. 44(3). 1125–1137. 3 indexed citations
4.
Thomas, Jyothi, et al.. (2024). EGMM: removal of specular reflection with cervical region segmentation using enhanced Gaussian mixture model in cervix images. Multimedia Tools and Applications. 84(9). 6273–6294. 1 indexed citations
6.
Thomas, Jyothi, et al.. (2024). Artificial Intelligence in Early Detection of Cervical Intraepithelial Neoplasia. International Journal of Innovative Science and Research Technology (IJISRT). 1509–1514. 1 indexed citations
8.
Thomas, Jyothi, et al.. (2024). Specular Reflection Removal Techniques in Cervix Image: A Comprehensive Review. Lecture notes in electrical engineering. 479–490.
9.
Thomas, Jyothi, et al.. (2023). A Review of Deep Learning Methods in Cervical Cancer Detection. Lecture notes in networks and systems. 624–633. 4 indexed citations
10.
Thomas, Jyothi, et al.. (2023). Hybrid Decision Fusion based Multimodal Ensemble Framework for Cervical Cancer Detection. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 17–24.
11.
Thomas, Jyothi, et al.. (2023). TelsNet: temporal lesion network embedding in a transformer model to detect cervical cancer through colposcope images. International Journal of Advances in Intelligent Informatics. 9(3). 502–502. 2 indexed citations
12.
Thomas, Jyothi, et al.. (2023). A Review of Deep Learning Methods in Automatic Facial Micro-expression Recognition. Lecture notes on data engineering and communications technologies. 1–16.
13.
Thomas, Jyothi, et al.. (2023). Media's influence on suicide: Building a safer online world for all. Asian Journal of Psychiatry. 91. 103868–103868. 2 indexed citations
14.
Thomas, Jyothi, et al.. (2023). A Specular Reflection Removal Technique in Cervigrams. 1–5.
15.
Thomas, Jyothi, et al.. (2022). Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning. Artificial Intelligence in Agriculture. 6. 100–110. 11 indexed citations
16.
Thomas, Jyothi, et al.. (2021). A Review on Existing Methods and Classification Algorithms Used for Sex Determination of Silkworm in Sericulture. Advances in intelligent systems and computing. 567–579. 6 indexed citations
17.
Thomas, Jyothi, et al.. (2015). Classification of Preterm Birth with Optimized Rules by Mutating the Cognitive Knowledge of PSO. Indian Journal of Science and Technology. 8(15). 1 indexed citations
18.
Thomas, Jyothi, et al.. (2013). Preterm Birth Prediction Using Cuckoo Search-Based Fuzzy Min-Max Neural Network. International Review on Computers and Software (IRECOS). 8(8). 1854–1862. 2 indexed citations
19.
Thomas, Jyothi, et al.. (2010). Data Mining Approach in Preterm Birth Prediction. 9(1). 18–30. 4 indexed citations
20.
Thomas, Jyothi, Alan Blair, & Nick Barnes. (2004). Towards an efficient optimal trajectory planner for multiple mobile robots. 3. 2291–2296. 13 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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