Ninan Sajeeth Philip

751 total citations
25 papers, 379 citations indexed

About

Ninan Sajeeth Philip is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ninan Sajeeth Philip has authored 25 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Ninan Sajeeth Philip's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Neural Networks and Applications (5 papers) and Dust and Plasma Wave Phenomena (3 papers). Ninan Sajeeth Philip is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Neural Networks and Applications (5 papers) and Dust and Plasma Wave Phenomena (3 papers). Ninan Sajeeth Philip collaborates with scholars based in India, United States and Canada. Ninan Sajeeth Philip's co-authors include K Babu Joseph, V. K. Vaidyan, Ajit Kembhavi, K.G. Gopchandran, Peter Koshy, S. Mitra, S. Kandhasamy, N. Mukund, G. C. Dewangan and Ranjeev Misra and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Applied Surface Science.

In The Last Decade

Ninan Sajeeth Philip

22 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ninan Sajeeth Philip India 11 148 110 86 46 43 25 379
Guobin Yang China 18 598 4.0× 77 0.7× 36 0.4× 40 0.9× 29 0.7× 111 920
D. C. Hovde United States 17 21 0.1× 226 2.1× 26 0.3× 22 0.5× 26 0.6× 29 914
Paul F. Scott United Kingdom 15 605 4.1× 56 0.5× 10 0.1× 27 0.6× 12 0.3× 74 792
Ari Hartikainen Finland 5 120 0.8× 12 0.1× 17 0.2× 46 1.0× 14 0.3× 10 378
Jiang-Hao Yu China 22 370 2.5× 122 1.1× 77 0.9× 36 0.8× 9 0.2× 112 1.5k
Carolina Mendoza Spain 14 31 0.2× 14 0.1× 62 0.7× 25 0.5× 9 0.2× 24 635
Jorge A. Portı́ Spain 14 280 1.9× 245 2.2× 9 0.1× 12 0.3× 11 0.3× 61 568
James Jeans United States 6 28 0.2× 32 0.3× 48 0.6× 7 0.2× 5 0.1× 13 298
Devon G. Crowe United States 6 95 0.6× 94 0.9× 22 0.3× 20 0.4× 6 0.1× 18 302

Countries citing papers authored by Ninan Sajeeth Philip

Since Specialization
Citations

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

Fields of papers citing papers by Ninan Sajeeth Philip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ninan Sajeeth Philip. 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 Ninan Sajeeth Philip. The network helps show where Ninan Sajeeth Philip may publish in the future.

Co-authorship network of co-authors of Ninan Sajeeth Philip

This figure shows the co-authorship network connecting the top 25 collaborators of Ninan Sajeeth Philip. A scholar is included among the top collaborators of Ninan Sajeeth Philip 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 Ninan Sajeeth Philip. Ninan Sajeeth Philip 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.
Vaidya, Bhargav, Yogesh Wadadekar, J. S. Bagla, et al.. (2025). Computational astrophysics, data science and AI/ML in astronomy: A perspective from Indian community. Journal of Astrophysics and Astronomy. 46(1).
2.
Saritha, A. C., et al.. (2022). Dust Acoustic Dromions in a Magnetized, Five-Component Cometary Plasma. IEEE Transactions on Plasma Science. 50(5). 1313–1322. 1 indexed citations
3.
Poovammal, E., et al.. (2021). Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images. Water. 13(19). 2742–2742. 11 indexed citations
4.
Kembhavi, Ajit, et al.. (2021). CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy. Communications Biology. 4(1). 200–200. 18 indexed citations
5.
Saritha, A. C., et al.. (2021). Ion acoustic shock waves with drifting ions in a five component cometary plasma. Advances in Space Research. 68(10). 4292–4302. 8 indexed citations
6.
Saritha, A. C., et al.. (2020). Dust acoustic solitary waves in a five component cometary plasma with dust charge variation. Radiation effects and defects in solids. 176(3-4). 284–299. 2 indexed citations
7.
Dewangan, G. C., et al.. (2020). Correlation between relativistic reflection fraction and photon index in NuSTAR sample of Seyfert 1 AGN. Monthly Notices of the Royal Astronomical Society. 495(3). 3373–3386. 15 indexed citations
8.
Kembhavi, Ajit, et al.. (2018). Detection of bars in galaxies using a deep convolutional neural network. Monthly Notices of the Royal Astronomical Society. 477(1). 894–903. 38 indexed citations
9.
Mukund, N., et al.. (2017). Transient classification in LIGO data using difference boosting neural network. Physical review. D. 95(10). 55 indexed citations
10.
Ninan, Joe P., D. K. Ojha, & Ninan Sajeeth Philip. (2016). EPISODIC HIGH-VELOCITY OUTFLOWS FROM V899 Mon: A CONSTRAINT ON THE OUTFLOW MECHANISMS*. The Astrophysical Journal. 825(1). 65–65. 1 indexed citations
11.
Philip, Ninan Sajeeth, et al.. (2014). A wavelet based algorithm for the identification of oscillatory event-related potential components. Journal of Neuroscience Methods. 233. 63–72. 14 indexed citations
12.
Philip, Ninan Sajeeth, et al.. (2014). Decommissioning Process for Subsea Pipelines. Abu Dhabi International Petroleum Exhibition and Conference. 4 indexed citations
13.
Philip, Ninan Sajeeth. (2010). A Learning Algorithm based on Primary School Teaching Wisdom. Paladyn Journal of Behavioral Robotics. 1(3). 1 indexed citations
14.
Philip, Ninan Sajeeth. (2009). What is there in a training sample?. 1507–1511. 3 indexed citations
15.
Philip, Ninan Sajeeth, et al.. (2007). Nanostructural and surface morphological evolution of chemically sprayed SnO2 thin films. Applied Surface Science. 254(7). 2179–2186. 63 indexed citations
16.
Philip, Ninan Sajeeth, et al.. (2007). Effect of substrate temperature on structural, optical and electrical properties of spray pyrolytically grown nanocrystalline SnO2 thin films. physica status solidi (a). 204(10). 3305–3315. 29 indexed citations
17.
Andreasen, Jesper, et al.. (2004). Advances in Automated Algorithms For Morphological Classification of Galaxies Based on Shape Features. 314. 617. 3 indexed citations
18.
Philip, Ninan Sajeeth & K Babu Joseph. (2003). A neural network tool for analyzing trends in rainfall. Computers & Geosciences. 29(2). 215–223. 41 indexed citations
19.
Philip, Ninan Sajeeth, Yogesh Wadadekar, Ajit Kembhavi, & K Babu Joseph. (2002). A difference boosting neural network for automated star-galaxy classification. Astronomy and Astrophysics. 385(3). 1119–1126. 27 indexed citations
20.
Philip, Ninan Sajeeth & K Babu Joseph. (2000). Boosting the differences: A fast Bayesian classifier neural network. Intelligent Data Analysis. 4(6). 463–473. 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

Breakdown of academic impact, for papers by Guobin Yang Breakdown of academic impact, for papers by D. C. Hovde Breakdown of academic impact, for papers by Paul F. Scott Breakdown of academic impact, for papers by Ari Hartikainen Breakdown of academic impact, for papers by Jiang-Hao Yu Breakdown of academic impact, for papers by Carolina Mendoza Breakdown of academic impact, for papers by Jorge A. Portı́ Breakdown of academic impact, for papers by James Jeans Breakdown of academic impact, for papers by Devon G. Crowe
Rankless by CCL
2026