• Suresh, I., Vialard, J., Izumo, T., & Lengaigne, M. (2024). Role of intersecting equatorial and coastal waveguides near Sri Lanka on intraseasonal sea level variability along the west coast of India. Journal of Geophysical Research: Oceans, 129, e2023JC020198.
• Sadhvi, K., Suresh, I., Lengaigne, M., Izumo, T., Penduff, T., Molines, J.-M., et al. (2024). Intrinsic versus wind-forced Great Whirl non-seasonal variability. Journal of Geophysical Research: Oceans, 129, e2023JC020077.
• Jaishanker, R., Athira, K. (2024). Ecological informatics: Metamorphosing ecology to a translational discipline.   Ecological Informatics, https://doi.org/10.1016/ j.ecoinf.2024. 102525
• Ayushi, K., Babu, K. N., Ayyappan, N., Nair, J. R., Athira, K., & Reddy, C. S. (2024). A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India. Ecological Informatics, 80, 102479.
• Rajan, S. C., M, V., Mitra, A., N P, S., K, A., Pillai, M. S., & R, J. (2024). Threshold of anthropogenic sound levels within protected landscapes in Kerala, India, for avian habitat quality and conservation. Scientific Reports, 14(1): 2701.
• Muraleedharan, V., Rajan, S. C., & R, J. (2024). Geometric entropy of plant leaves: A measure of morphological complexity. PLOS ONE, 19(1): e0293596.
• Athira, K., Jaishanker, R. N., C. Rajan, S., & Dadhwal, V. K. (2023). Remote Sensing of Flowers. Ecological Informatics, 78, 102369.
• Muraleedharan, V., Rajan, S. C., & R, J. (2023). Determining the limits of traditional box-counting fractal analysis in leaf complexity studies. Flora, 304, 152300.
• Vishnu, M., & Jaishanker, R. (2023). Fractal-thermodynamic system analogy and complexity of plant leaves. Environmental Research Communications, 5(5), 055013.
• Banerjee, A., Rakshit, N., Chakrabarty, M., Sinha, S., Ghosh, S., & Ray, S. (2022). Zooplankton community of Bakreswar Reservoir: Assessment and visualization of distribution pattern using self-organizing maps. Ecological Informatics, 72, 101837.
• Ghosh, S., Banerjee, A., Mukhopadhyay, S., Ray, S., & Bhattacharya, S. (2022). Predicting the Probability of Avian Reproductive Success and Its Components at a Nesting Site. Ecological Informatics, 72, 101841.
• Sinha, S., Adhurya, S., Banerjee, A., Al Basir, F., Das, S., & Ray, S. (2023). Dynamic simulation and steady-state analysis of a bentho-pelagic coupled ecosystem under different simulation scenarios. Ecological Informatics, 73, 101929.
• Sajeev, C. R., Lijimol, D., Vishnu, M., Athira, K., Sooraj, N. P., & Jaishanker, R. (2021). Surrogacy of post natural disaster acoustic indices for biodiversity assessment. Environmental Challenges, 6, 100420.
• Jaishanker, R., Vishnu, M., Sajeev, C. R., Sooraj, N. P., Athira, K., Sarojkumar, V., Lijimol, D., Subin, J. M., Anjaly, U., & Dadhwal, V. K. (2021). Biodiversity clock and conservation triangle: Integrative platform for biodiversity monitoring, evaluation, and preemptive conservation intervention. Environmental and Sustainability Indicators, 11, 100137.
• Kurian, D., Hagberg, G.E., Scheffler, K. and Paul, J.S., 2024. A predictor–corrector phase unwrapping algorithm for temporally undersampled gradient‐echo MRI. Magnetic Resonance in Medicine, 91(4), pp.1707-1722.
• Karthik, K. and Paul, J.S., 2023. Topographic mapping of oxygen extraction and cerebral venous blood volume fraction in Brain tumors using quantitative BOLD: A case report. Medical Imaging Process & Technology, 6(1).
• Ibrahim, V., Datta, S., James, A.P. and Paul, J.S., 2022, May. Interleaved Hybrid Domain Learning for Super-Resolution MRI. In 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 3433-3437). IEEE.
• Ibrahim, V. and Paul, J.S., 2022. Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation. In Proceedings of International Conference on Computational Intelligence: ICCI 2020 (pp. 183-193). Springer Singapore.
• Madhusoodhanan, S., Hagberg, G.E., Scheffler, K. and Paul, J.S., 2021. Multi‐echo gradient‐recalled‐echo phase unwrapping using a Nyquist sampled virtual echo train in the presence of high‐field gradients. Magnetic Resonance in Medicine, 86(4), pp.2220-2233.
• Joy, A., Jacob, M. and Paul, J.S., 2021. Compressed sensing MRI using an interpolation‐free nonlinear diffusion model. Magnetic resonance in medicine, 85(3), pp.1681-1696.
• Mathew, R.S. and Paul, J.S., 2020. Automated regularization parameter selection using continuation based proximal method for compressed sensing MRI. IEEE Transactions on Computational Imaging, 6, pp.1309-1319.

Book Chapters

• Saranya, Kotturu., Malavika S Nair., & Chintala, Sudhakar Reddy. (2023). From Detection to Management: Insights and Applications from Satellite Remote Sensing of Forest Fires. In book: Exploring Emerging Techniques in Plant Sciences.
• V S, Faseela & Mathew, Sherin Maria & Saranya, Kotturu & Suthari, Sateesh & Asok, Smitha & Chintala, Sudhakar Reddy. (2023). From Field to Map: A Review of State-of-the-art Approaches to Estimate Above-Ground Biomass Integrating Remote Sensing Techniques.
• Arnab Banerjee, Brian D. Fath, Ursula M. Scharler, Santanu Ray, Ecological Modeling in Environmental Management: History and Applications, Reference Module in Earth Systems and Environmental Sciences, Elsevier, 2023, ISBN 9780124095489, https://doi.org/10.1016/B978-0-323-90798-9.00097-4.

• Autonomous Smart Water Meter, R. Jaishanker and Indulal Sreedharan, Patent No. 525332, date of grant 14/03/2024

• A Neuroimaging tool for differential diagnosis of vascular dementia using MR oxymetry with proprietary field corrections – SERB
• Development of Signal Processing Tools for Susceptibility and Conductivity Mapping from a Single MR Acquisition using a Spoiled Gradient Multi-Echo Sequence- DBT
• Robust identification of iron depositions using a predictable signal model for GRE phase: Implications to neurodegenerative diseases- ICMR

• Ecological Physics
• Earth observation
• Sustainable Development
• Traditional Ecological Knowledge
• Invasion Ecology
• Floral Radiometry
• Bioacoustics