T. Hemalatha

607 total citations
39 papers, 364 citations indexed

About

T. Hemalatha is a scholar working on Electrical and Electronic Engineering, Management, Monitoring, Policy and Law and Aerospace Engineering. According to data from OpenAlex, T. Hemalatha has authored 39 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Management, Monitoring, Policy and Law and 7 papers in Aerospace Engineering. Recurrent topics in T. Hemalatha's work include Landslides and related hazards (7 papers), Antenna Design and Analysis (6 papers) and Flood Risk Assessment and Management (5 papers). T. Hemalatha is often cited by papers focused on Landslides and related hazards (7 papers), Antenna Design and Analysis (6 papers) and Flood Risk Assessment and Management (5 papers). T. Hemalatha collaborates with scholars based in India, United Kingdom and United States. T. Hemalatha's co-authors include Maneesha Vinodini Ramesh, Venkat Rangan, Sebastian Uhlemann, Raghavendra V. Kulkarni, Philip James, Tejal Shah, K. A. Unnikrishna Menon, Rajiv Ranjan, Graham Morgan and Zhenyu Wen and has published in prestigious journals such as IEEE Sensors Journal, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Landslides.

In The Last Decade

T. Hemalatha

29 papers receiving 340 citations

Peers

T. Hemalatha
T. Hemalatha
Citations per year, relative to T. Hemalatha T. Hemalatha (= 1×) peers Amina Khan

Countries citing papers authored by T. Hemalatha

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Hemalatha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hemalatha more than expected).

Fields of papers citing papers by T. Hemalatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Hemalatha. A scholar is included among the top collaborators of T. 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 T. Hemalatha. T. Hemalatha 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.
Hemalatha, T., et al.. (2025). Optimization of Healthcare Service Delivery Using Deep Genetic Algorithm. Informing Science The International Journal of an Emerging Transdiscipline. 28. 3–3.
2.
Hemalatha, T. & Bappadittya Roy. (2024). Ground plane alteration extremely wideband SPAS pair-based MIMO antenna with improved isolation and band notched characteristics. AEU - International Journal of Electronics and Communications. 176. 155118–155118. 3 indexed citations
5.
Saravanan, N., et al.. (2024). Face Recognition For Exam Hall Seating Arrangement Using Deep Learning Algorithm. 130–133. 1 indexed citations
7.
Hemalatha, T. & B.H. van Roy. (2024). Self-Isolated Dual L-Slotted 4-Port UWB MIMO Antenna with Wider Band-Notched Characteristics. Journal of Nano- and Electronic Physics. 16(4). 4010–1. 1 indexed citations
9.
Hemalatha, T.. (2023). Deep Learning in Landslide Studies: A Review. 247–255. 10 indexed citations
10.
Watlet, Arnaud, T. Hemalatha, P.I. Meldrum, et al.. (2023). 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India. Landslides. 20(5). 1031–1044. 12 indexed citations
12.
Shah, Tejal, Zhenyu Wen, T. Hemalatha, et al.. (2021). Use of Social Media Data in Disaster Management: A Survey. Future Internet. 13(2). 46–46. 54 indexed citations
13.
Ramesh, Maneesha Vinodini, et al.. (2020). Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network. CSI Transactions on ICT. 8(2). 213–230. 22 indexed citations
14.
Hemalatha, T., et al.. (2019). Smart Helmet and Bike Management System. 21(11). 303–311. 5 indexed citations
15.
Ramesh, Maneesha Vinodini, et al.. (2017). Energy Efficient Data Acquisition Techniques Using Context Aware Sensing for Landslide Monitoring Systems. IEEE Sensors Journal. 17(18). 6006–6018. 39 indexed citations
16.
Hemalatha, T., et al.. (2016). Comparison of remote sensing based indices for drought monitoring in Anantapur. International journal of applied research. 2(1). 449–456. 4 indexed citations
17.
Hemalatha, T., et al.. (2016). Estimation of Peak Discharge in an Ungauged Watershed Using GIUH Model Supported With GIS and RS. International journal of applied research. 2(6). 754–759. 1 indexed citations
18.
Hemalatha, T., et al.. (2015). SENSITIVITY OF CURVE NUMBER AND INITIAL ABSTRACTION COEFFICIENT ON SCS–CN METHOD OF RUNOFF ESTIMATION IN AN UNGAUGED WATERSHED INTERGRATED WITH RS & GIS. PARIPEX-INDIAN JOURNAL OF RESEARCH. 2 indexed citations
19.
Ramesh, Maneesha Vinodini, et al.. (2012). Wireless Sensor Network Security: Real-Time Detection and Prevention of Attacks. 783–787. 13 indexed citations
20.
Hemalatha, T.. (2012). Detecting Sybil Attack with a Scalable Protocol. 4(1). 35–41. 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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