R. Sangeetha

403 total citations
13 papers, 174 citations indexed

About

R. Sangeetha is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Sangeetha has authored 13 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Sangeetha's work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and Peptidase Inhibition and Analysis (2 papers). R. Sangeetha is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and Peptidase Inhibition and Analysis (2 papers). R. Sangeetha collaborates with scholars based in India and Spain. R. Sangeetha's co-authors include Umesh Varshney, N. Sadananda Singh, J. Logeshwaran, Javier Rocher, Siddhartha Roy, Jaime Lloret, Muniyandi Selvaraj, M. Vijayan, Rais Ahmad and Satvik Vats and has published in prestigious journals such as Journal of Molecular Biology, AgriEngineering and Acta Crystallographica Section F Structural Biology and Crystallization Communications.

In The Last Decade

R. Sangeetha

10 papers receiving 169 citations

Peers

R. Sangeetha

MB

PS

ONCOL

ECOLO

GENET

Patricia Hernandez Switzerland

Ammar Nasif United Kingdom

Philipp T. Kaulich Germany

Haoyuan Li China

Yiyi Liu United States

Zhenyu Zhu United States

Julien Marquevielle France

Xiaoqi Wang China

Ankit Jaiswal India

Patricia Hernandez Switzerland

R. Sangeetha

309 ×3.3

MB

6 ×0.2

PS

16 ×0.5

ONCOL

7 ×0.3

ECOLO

12 ×0.6

GENET

Citations per year, relative to R. Sangeetha R. Sangeetha (= 1×) peers Patricia Hernandez

Countries citing papers authored by R. Sangeetha

Since Specialization

Citations

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

Fields of papers citing papers by R. Sangeetha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sangeetha

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Sangeetha, R., et al.. (2025). Optimizing Credit Risk Assessment in Banking Human Resource Management: A Enhanced Humboldt Squid based Probabilistic Spiking Neural Networks with Shunted Self-Attention. International Journal of Information Engineering and Electronic Business. 17(3). 14–38. 1 indexed citations

2.

Sangeetha, R., et al.. (2024). Stroke Rehabilitation using Virtual Reality. 1033–1040.

3.

Sangeetha, R., et al.. (2024). CloudSec Innovation: Enhanced Data Security with Multi-Tier Encryption Systems. 582–587.

4.

Sangeetha, R., et al.. (2024). EcoAI Forecast: Multi - Model Air Quality Prediction in Patancheru. 1–6. 1 indexed citations

5.

Sangeetha, R., J. Logeshwaran, Javier Rocher, & Jaime Lloret. (2023). An Improved Agro Deep Learning Model for Detection of Panama Wilts Disease in Banana Leaves. AgriEngineering. 5(2). 660–679. 43 indexed citations

6.

Sangeetha, R., et al.. (2023). Smart Performance Optimization of Natural Language Processing with Recursive Neural Networks. 1–7. 9 indexed citations

7.

Sangeetha, R., et al.. (2023). Optimization of Natural Language Understanding with Contextual Embeddings. 1–6. 9 indexed citations

8.

Sangeetha, R., et al.. (2023). Enhanced performance optimization of Network Coding for Enhancing Security and Performance in Wireless Networks. 1–6. 4 indexed citations

9.

Sangeetha, R., et al.. (2023). Enabling Accurate Brain Tumor Segmentation with Deep Learning. 1–6. 5 indexed citations

10.

Sangeetha, R., et al.. (2023). Transfer Learning for Accurate Classification of Breast Cancer in Medical Imaging. 1–6. 5 indexed citations

11.

Singh, N. Sadananda, Rais Ahmad, R. Sangeetha, & Umesh Varshney. (2008). Recycling of Ribosomal Complexes Stalled at the Step of Elongation in Escherichia coli. Journal of Molecular Biology. 380(3). 451–464. 33 indexed citations

12.

Selvaraj, Muniyandi, Siddhartha Roy, N. Sadananda Singh, et al.. (2007). Structural Plasticity and Enzyme Action: Crystal Structures of Mycobacterium tuberculosis Peptidyl-tRNA Hydrolase. Journal of Molecular Biology. 372(1). 186–193. 57 indexed citations

13.

Selvaraj, Muniyandi, N. Sadananda Singh, Siddhartha Roy, et al.. (2006). Cloning, expression, purification, crystallization and preliminary X-ray analysis of peptidyl-tRNA hydrolase fromMycobacterium tuberculosis. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 62(9). 913–915. 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.

Explore authors with similar magnitude of impact