S. Mohanavalli

498 total citations
24 papers, 283 citations indexed

About

S. Mohanavalli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, S. Mohanavalli has authored 24 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in S. Mohanavalli's work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (5 papers) and Face and Expression Recognition (4 papers). S. Mohanavalli is often cited by papers focused on AI in cancer detection (5 papers), Brain Tumor Detection and Classification (5 papers) and Face and Expression Recognition (4 papers). S. Mohanavalli collaborates with scholars based in India and United States. S. Mohanavalli's co-authors include N. Bhalaji, S. Kavitha, S. Poornima, S. Karthika, Shivendra Shivani, S. M. Jaisakthi, S.P. Sasirekha and Chandrabose Aravindan and has published in prestigious journals such as Journal of Medical Systems, Journal of Intelligent & Fuzzy Systems and Neural Processing Letters.

In The Last Decade

S. Mohanavalli

24 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Mohanavalli India	8	98	64	42	42	38	24	283
Hatoon S. AlSagri Saudi Arabia	10	115 1.2×	47 0.7×	96 2.3×	57 1.4×	38 1.0×	27	309
Virginia Săndulescu Romania	7	38 0.4×	103 1.6×	19 0.5×	20 0.5×	50 1.3×	27	296
Ahmed Al Marouf Bangladesh	11	156 1.6×	25 0.4×	43 1.0×	10 0.2×	57 1.5×	39	332
E. Grace Mary Kanaga India	8	101 1.0×	30 0.5×	53 1.3×	22 0.5×	34 0.9×	47	307
Kyo-Joong Oh South Korea	9	224 2.3×	39 0.6×	47 1.1×	89 2.1×	70 1.8×	22	386
Rezaul Haque Bangladesh	11	123 1.3×	13 0.2×	35 0.8×	13 0.3×	23 0.6×	34	299
Md. Rafiqul Islam Bangladesh	8	184 1.9×	83 1.3×	178 4.2×	101 2.4×	45 1.2×	29	389
Yngve Lamo Norway	13	221 2.3×	51 0.8×	62 1.5×	69 1.6×	157 4.1×	57	447
Md Tahmid Rahman Laskar Canada	11	258 2.6×	25 0.4×	40 1.0×	16 0.4×	41 1.1×	24	352
Guozheng Rao China	8	327 3.3×	38 0.6×	65 1.5×	39 0.9×	78 2.1×	39	448

Countries citing papers authored by S. Mohanavalli

Since Specialization

Citations

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

Fields of papers citing papers by S. Mohanavalli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Mohanavalli

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

All Works

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20 of 20 papers shown

Mohanavalli, S., et al.. (2024). Genetic algorithm based attention UNet optimization for breast tumor segmentation. Genetika. 56(1). 13–27. 1 indexed citations

Mohanavalli, S., et al.. (2023). Attention $$U^2Net$$: Cascaded UNets with Modified Skip Connection for Breast Tumor Segmentation. Neural Processing Letters. 55(9). 11863–11883. 1 indexed citations

Mohanavalli, S., et al.. (2023). Automated carcinoma classification using efficient nuclei-based patch selection and deep learning techniques. Journal of Intelligent & Fuzzy Systems. 45(1). 521–535. 2 indexed citations

Mohanavalli, S., et al.. (2021). Optimised feature selection for early cancer detection. Genetika. 53(3). 1297–1309. 2 indexed citations

Mohanavalli, S., et al.. (2020). Investigations of Shallow and Deep Learning Algorithms for Tumor Detection. 1–5. 4 indexed citations

Mohanavalli, S., et al.. (2020). GAN based Data Augmentation for Enhanced Tumor Classification. 1–5. 20 indexed citations

Kavitha, S., et al.. (2019). Optimized bilevel classifier for brain tumor type and grade discrimination usingevolutionary fuzzy computing. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(3). 1704–1718. 1 indexed citations

Mohanavalli, S., et al.. (2018). Behavioral Modeling for Mental Health using Machine Learning Algorithms. Journal of Medical Systems. 42(5). 88–88. 140 indexed citations

Mohanavalli, S., et al.. (2018). Categorisation of Tweets Using Ensemble Classification Methods. International Journal of Engineering & Technology. 7(3.12). 722–722. 1 indexed citations

10.

Karthika, S., et al.. (2018). Identification of Trending Topics Using Periodically Collected Twitter Data. International Journal of Engineering & Technology. 7(3.12). 205–205. 1 indexed citations

11.

Mohanavalli, S., et al.. (2018). Outlier Detection using Clustering Techniques. International Journal of Engineering & Technology. 7(3.12). 813–813. 1 indexed citations

12.

Mohanavalli, S., et al.. (2017). A performance comparison of document oriented NoSQL databases. 1–6. 16 indexed citations

13.

Mohanavalli, S., et al.. (2017). Survey of pre-processing techniques for mining big data. 1–5. 28 indexed citations

14.

Mohanavalli, S., et al.. (2016). COMPARISON OF NOSQL DATABASES. 1 indexed citations

15.

Mohanavalli, S., S. M. Jaisakthi, & Chandrabose Aravindan. (2016). Automatic Scale Parameters in Affinity Matrix Construction for Improved Spectral Clustering. International Journal of Pattern Recognition and Artificial Intelligence. 30(10). 1650023–1650023. 1 indexed citations

16.

Jaisakthi, S. M. & S. Mohanavalli. (2015). Skin Segmentation using Ensemble Technique. Research Journal of Applied Sciences Engineering and Technology. 9(11). 963–968. 1 indexed citations

17.

Mohanavalli, S. & S. M. Jaisakthi. (2015). A Precise Distance Metric for Mixed Data Clustering using Chi-square Statistics. Research Journal of Applied Sciences Engineering and Technology. 10(12). 1441–1444. 2 indexed citations

18.

Mohanavalli, S., et al.. (2015). Cloud Based Fuzzy Healthcare System. Procedia Computer Science. 50. 143–148. 18 indexed citations

19.

Mohanavalli, S., et al.. (2014). Knowledge extracting system for non-expert miners. 1. 158–161. 1 indexed citations

20.

Mohanavalli, S., et al.. (2013). Improving the quality of clustering using cluster ensembles. 88–92. 7 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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