P. Sreelatha

551 total citations
38 papers, 375 citations indexed

About

P. Sreelatha is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, P. Sreelatha has authored 38 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Astronomy and Astrophysics, 10 papers in Aerospace Engineering and 6 papers in Molecular Biology. Recurrent topics in P. Sreelatha's work include Ionosphere and magnetosphere dynamics (14 papers), Astro and Planetary Science (10 papers) and Planetary Science and Exploration (8 papers). P. Sreelatha is often cited by papers focused on Ionosphere and magnetosphere dynamics (14 papers), Astro and Planetary Science (10 papers) and Planetary Science and Exploration (8 papers). P. Sreelatha collaborates with scholars based in India, Japan and Ethiopia. P. Sreelatha's co-authors include R. Sridharan, Tarun Kumar Pant, Sudha Ravindran, Smitha V. Thampi, S.M. Ahmed, C. V. Devasia, A. D. Sarma, D. Venkata Ratnam, G. Manju and Anil Bhardwaj and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

P. Sreelatha

34 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Sreelatha India 12 315 127 70 44 30 38 375
R. Ziethe Switzerland 6 395 1.3× 83 0.7× 71 1.0× 82 1.9× 65 2.2× 19 456
Y. Iijima Japan 7 260 0.8× 75 0.6× 42 0.6× 27 0.6× 13 0.4× 19 331
James McAdams United States 9 459 1.5× 278 2.2× 45 0.6× 31 0.7× 15 0.5× 32 515
Julie Bellerose United States 12 580 1.8× 233 1.8× 63 0.9× 64 1.5× 25 0.8× 33 606
H. Bahcivan United States 14 343 1.1× 193 1.5× 125 1.8× 17 0.4× 71 2.4× 30 445
Glen H. Fountain United States 8 282 0.9× 59 0.5× 40 0.6× 85 1.9× 66 2.2× 19 331
Seiitsu Tsuruta Japan 10 257 0.8× 120 0.9× 15 0.2× 21 0.5× 22 0.7× 33 319
R. Trautner Netherlands 10 353 1.1× 73 0.6× 26 0.4× 62 1.4× 32 1.1× 41 394
Huang Xueqin China 5 329 1.0× 204 1.6× 181 2.6× 25 0.6× 87 2.9× 5 403
John M. Goodman United States 11 290 0.9× 175 1.4× 133 1.9× 30 0.7× 54 1.8× 39 370

Countries citing papers authored by P. Sreelatha

Since Specialization
Citations

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

Fields of papers citing papers by P. Sreelatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Sreelatha

This figure shows the co-authorship network connecting the top 25 collaborators of P. Sreelatha. A scholar is included among the top collaborators of P. Sreelatha 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 P. Sreelatha. P. Sreelatha 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.
Sreelatha, P., et al.. (2025). Deep Learning Approach for Thyroid Medical Image Analysis and Prediction. Informing Science The International Journal of an Emerging Transdiscipline. 28. 17–17.
2.
Bhagyalakshmi, L., et al.. (2025). Integration of Internet of Things blockchain and artificial intelligence for scalable and secure precision environmental management. Sustainable Computing Informatics and Systems. 48. 101251–101251.
3.
Manju, G., et al.. (2025). In situ ionospheric observations near lunar south pole by the Langmuir Probe on Chandrayaan-3 lander. Monthly Notices of the Royal Astronomical Society. 542(4). 2647–2656. 1 indexed citations
4.
5.
Sreelatha, P., et al.. (2021). Prediction of chronic kidney disease and diet recommendation. International journal of advance research, ideas and innovations in technology. 7(4). 506–509. 1 indexed citations
6.
Thampi, Smitha V., et al.. (2020). Chandra’s Atmospheric Composition Explorer-2 Onboard Chandrayaan-2 to Study the Lunar Neutral Exosphere. Current Science. 118(2). 202–202. 6 indexed citations
7.
Sreelatha, P., et al.. (2020). Efficacy of Carica Papaya Leaf Extract in Reducing Treatment-Delay Secondary to Chemotherapy induced Thrombocytopenia. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 5 indexed citations
8.
Sreelatha, P., et al.. (2019). Alcohol use and its correlates in suicide attempters in a rural tertiary care teaching hospital in south India. International Journal of Research in Medical Sciences. 7(6). 2387–2387. 1 indexed citations
9.
Sreelatha, P., et al.. (2018). Improved Adaptive Wavelet Thresholding for Effective Speckle Noise Reduction in Low Contrast Medical Images. Journal of Circuits Systems and Computers. 28(10). 1950176–1950176. 3 indexed citations
10.
Sreelatha, P., et al.. (2018). Image Texture Based Hybrid Diagnostic Tool for Kidney Disease Classification. Journal of Medical Imaging and Health Informatics. 8(9). 1899–1908. 2 indexed citations
11.
12.
Bhardwaj, Anil, et al.. (2017). Observation of suprathermal argon in the exosphere of Mars. Geophysical Research Letters. 44(5). 2088–2095. 11 indexed citations
13.
Sreelatha, P., et al.. (2017). Sorafenib-induced dermatologic Grade III toxicity: An important clinical manifestation. National Journal of Physiology Pharmacy and Pharmacology. 7(12). 1–1.
14.
Manju, G., et al.. (2014). Gravity wave signatures in the dip equatorial ionosphere‐thermosphere system during the annular solar eclipse of 15 January 2010. Journal of Geophysical Research Space Physics. 119(6). 4929–4937. 26 indexed citations
15.
Manju, G., et al.. (2011). A Novel probe for in-situ Electron density and Neutral Wind (ENWi) measurements in the near Earth space. Journal of Atmospheric and Solar-Terrestrial Physics. 74. 81–86. 7 indexed citations
16.
Ratnam, D. Venkata, et al.. (2011). Performance evaluation of selected ionospheric delay models during geomagnetic storm conditions in low‐latitude region. Radio Science. 46(3). 29 indexed citations
17.
Sridharan, R., et al.. (2010). The sunlit lunar atmosphere: A comprehensive study by CHACE on the Moon Impact Probe of Chandrayaan-1. Planetary and Space Science. 58(12). 1567–1577. 45 indexed citations
18.
Thampi, Smitha V., N. Balan, Sudha Ravindran, et al.. (2007). An additional layer in the low‐latitude ionosphere in Indian longitudes: Total electron content observations and modeling. Journal of Geophysical Research Atmospheres. 112(A6). 20 indexed citations
19.
Thampi, Smitha V., Sudha Ravindran, C. V. Devasia, et al.. (2007). Coherent Radio Beacon Experiment (CRABEX) for tomographic imaging of the equatorial ionosphere in the Indian longitudes – Preliminary results. Advances in Space Research. 40(3). 436–441. 11 indexed citations
20.
Ravindran, Sudha, G. Manju, C. V. Devasia, et al.. (2006). Plasmaspheric electron content variation in the magnetic equatorial region during space weather events: Results from the CRABEX (Coherent Radio Beacon Experiment) using the beacon onboard the Indian geostationary satellite (GSAT - 2). 36. 1784. 1 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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