K. Hemalatha

800 total citations
19 papers, 547 citations indexed

About

K. Hemalatha is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, K. Hemalatha has authored 19 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 5 papers in Fluid Flow and Transfer Processes and 5 papers in Biomedical Engineering. Recurrent topics in K. Hemalatha's work include Fluid Dynamics and Turbulent Flows (6 papers), Nanofluid Flow and Heat Transfer (5 papers) and Rheology and Fluid Dynamics Studies (5 papers). K. Hemalatha is often cited by papers focused on Fluid Dynamics and Turbulent Flows (6 papers), Nanofluid Flow and Heat Transfer (5 papers) and Rheology and Fluid Dynamics Studies (5 papers). K. Hemalatha collaborates with scholars based in India, Malaysia and Taiwan. K. Hemalatha's co-authors include D. S. Sankar, B. D. Parameshachari, Sujata Patil, G. M. Siddesh, Wen‐Cheng Lai, Rocío Pérez de Prado, R. Usha, T. Amaranath, Stefano Rinaldi and Suresh Kumar Tummala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Applied Mathematical Modelling.

In The Last Decade

K. Hemalatha

16 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Hemalatha India	9	272	255	178	76	75	19	547
R. Ponalagusamy India	23	628 2.3×	496 1.9×	243 1.4×	67 0.9×	88 1.2×	89	1.2k
Ahmad Reza Haghighi Iran	12	89 0.3×	96 0.4×	40 0.2×	11 0.1×	31 0.4×	30	359
Ashis Kumar Roy India	14	235 0.9×	232 0.9×	98 0.6×	19 0.3×	12 0.2×	41	924
Santiago Urquiza Argentina	10	121 0.4×	138 0.5×	17 0.1×	51 0.7×	109 1.5×	32	499
Islam M. Eldesoky Egypt	16	580 2.1×	474 1.9×	102 0.6×	6 0.1×	31 0.4×	54	844
Josip Tambača Croatia	13	190 0.7×	248 1.0×	37 0.2×	62 0.8×	180 2.4×	55	674
Jack Hale Luxembourg	11	134 0.5×	234 0.9×	24 0.1×	8 0.1×	20 0.3×	41	678
Moritz Flaschel Switzerland	10	316 1.2×	48 0.2×	43 0.2×	4 0.1×	22 0.3×	17	634
F. Chinesta France	11	112 0.4×	210 0.8×	40 0.2×	6 0.1×	26 0.3×	20	549
Pasquale Claudio Africa Italy	13	141 0.5×	87 0.3×	14 0.1×	22 0.3×	39 0.5×	22	543

Countries citing papers authored by K. Hemalatha

Since Specialization

Citations

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

Fields of papers citing papers by K. Hemalatha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Hemalatha

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

All Works

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19 of 19 papers shown

Hemalatha, K., et al.. (2025). Detection of Fake Online Reviews Using Machine Learning. International Journal of Multidisciplinary Research and Growth Evaluation. 6(2). 730–736.

Patil, Sujata, et al.. (2025). Block chain enabled hybrid cryptographic algorithm for security and privacy preservation of electronic health records. ICT Express. 11(5). 945–950.

Hemalatha, K., et al.. (2024). Self-supervised learning using diverse cell images for cervical cancer classification. Measurement. 243. 116413–116413. 2 indexed citations

Hemalatha, K., et al.. (2024). Tool health monitoring in lathe turning process by artificial intelligence techniques — a review. Concurrent Engineering. 33(1-4). 212–235. 1 indexed citations

Hemalatha, K., et al.. (2024). Diagnosing Gastric Cancer Using Deep Learning Algorithms. 115–120. 1 indexed citations

Hemalatha, K., et al.. (2024). A New Algorithm for Finding Initial Basic Feasible Solution of Spherical Fuzzy Transportation Problem with Applications. Baghdad Science Journal. 1 indexed citations

Hemalatha, K., et al.. (2023). CervixFuzzyFusion for cervical cancer cell image classification. Biomedical Signal Processing and Control. 85. 104920–104920. 27 indexed citations

Tummala, Suresh Kumar, et al.. (2023). Performance of 7-level cascade H-bridge multi level inverter driven induction motor drive. SHILAP Revista de lepidopterología. 391. 1003–1003.

Prado, Rocío Pérez de, et al.. (2022). Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network. Transactions on Emerging Telecommunications Technologies. 34(11). 31 indexed citations

10.

Hemalatha, K., et al.. (2022). Deep Learning based Classification of Cervical Cancer using Transfer Learning. 134–139. 14 indexed citations

11.

Siddesh, G. M., et al.. (2022). ObjectDetect: A Real‐Time Object Detection Framework for Advanced Driver Assistant Systems Using YOLOv5. Wireless Communications and Mobile Computing. 2022(1). 52 indexed citations

12.

Sankar, D. S., et al.. (2013). Mathematical Analysis of Casson Fluid Model for Blood Rheology in Stenosed Narrow Arteries. Journal of Applied Mathematics. 2013. 1–11. 111 indexed citations

13.

Sankar, D. S., K. Hemalatha, & Atulya K. Nagar. (2011). Two-fluid model for blood flow in stenosed arteries under periodic body acceleration: a mathematical model. International Journal of Advances in Engineering Sciences and Applied Mathematics. 3(1-4). 84–92. 1 indexed citations

14.

Sankar, D. S. & K. Hemalatha. (2006). A non-Newtonian fluid flow model for blood flow through a catheterized artery—Steady flow. Applied Mathematical Modelling. 31(9). 1847–1864. 117 indexed citations

15.

Sankar, D. S. & K. Hemalatha. (2006). Pulsatile flow of Herschel–Bulkley fluid through catheterized arteries – A mathematical model. Applied Mathematical Modelling. 31(8). 1497–1517. 61 indexed citations

16.

Sankar, D. S. & K. Hemalatha. (2006). Pulsatile flow of Herschel–Bulkley fluid through stenosed arteries—A mathematical model. International Journal of Non-Linear Mechanics. 41(8). 979–990. 97 indexed citations

17.

Sankar, D. S. & K. Hemalatha. (2006). Non-linear mathematical models for blood flow through tapered tubes. Applied Mathematics and Computation. 188(1). 567–582. 24 indexed citations

18.

Usha, R. & K. Hemalatha. (1993). A note on plane Stokes flow past a shear free impermeable cylinder. Zeitschrift für angewandte Mathematik und Physik. 44(1). 73–84. 5 indexed citations

19.

Usha, R., et al.. (1989). Pressure drop in stenosed narrow passages. Fluid Dynamics Research. 5(2). 83–89. 2 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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