Maruti Kumar Mudunuru

835 total citations
41 papers, 470 citations indexed

About

Maruti Kumar Mudunuru is a scholar working on Mechanics of Materials, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Maruti Kumar Mudunuru has authored 41 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 11 papers in Environmental Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Maruti Kumar Mudunuru's work include Hydrocarbon exploration and reservoir analysis (7 papers), Model Reduction and Neural Networks (7 papers) and Groundwater flow and contamination studies (6 papers). Maruti Kumar Mudunuru is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (7 papers), Model Reduction and Neural Networks (7 papers) and Groundwater flow and contamination studies (6 papers). Maruti Kumar Mudunuru collaborates with scholars based in United States, Australia and United Kingdom. Maruti Kumar Mudunuru's co-authors include K. B. Nakshatrala, Satish Karra, Peishi Jiang, Xingyuan Chen, Alexander Y. Sun, Velimir V. Vesselinov, Hari Viswanathan, Daniel O’Malley, Albert J. Valocchi and George Guthrie and has published in prestigious journals such as Scientific Reports, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Maruti Kumar Mudunuru

39 papers receiving 456 citations

Peers

Countries citing papers authored by Maruti Kumar Mudunuru

Since Specialization

Citations

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

Fields of papers citing papers by Maruti Kumar Mudunuru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maruti Kumar Mudunuru. 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 Maruti Kumar Mudunuru. The network helps show where Maruti Kumar Mudunuru may publish in the future.

Co-authorship network of co-authors of Maruti Kumar Mudunuru

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Scaling High‐Resolution Soil Organic Matter Composition to Improve Predictions of Potential Soil Respiration Across the Continental United States 2025 ·Geophysical Research Letters ·(unknown), Maruti Kumar Mudunuru, (unknown), Qian Zhao, Jason Toyoda, William Kew, Yuri Corilo, Odeta Qafoku, John Bargar, Satish Karra, Emily Graham	1
2	Molecular diversity of dissolved organic matter reflects macroecological patterns in river networks 2025 ·Scientific Reports ·Erika C. Freeman, Maruti Kumar Mudunuru, Kelli L. Feeser, (unknown), Ricardo González‐Pinzón, Christopher Ward, Eric Bottos, Stefan Krause, Jasquelin Peña, (unknown)	1
3	Quantifying local and global mass balance errors in physics-informed neural networks 2024 ·Scientific Reports ·(unknown), Maruti Kumar Mudunuru, (unknown), (unknown)	2
4	Perspectives on AI Architectures and Codesign for Earth System Predictability 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Maruti Kumar Mudunuru, James Ang, Mahantesh Halappanavar, Simon David Hammond, Maya Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew Norman, Ivy Peng, Philip W. Jones	0
5	Uncovering acoustic signatures of pore formation in laser powder bed fusion 2023 ·The International Journal of Advanced Manufacturing Technology ·(unknown), Maruti Kumar Mudunuru, Satish Karra, Adam J. Wachtor, (unknown), Eric Flynn, Jean‐Baptiste Forien, Gabe Guss, Nicholas P. Calta, Philip J. Depond, Manyalibo J. Matthews	3
6	3D Biogeochemical Characterization of Intact Soil Structures 2023 ·Microscopy and Microanalysis ·Odeta Qafoku, Tamás Varga, Anil Krishna Battu, Qian Zhao, Arunima Bhattacharjee, Zihua Zhu, Rosalie Chu, Maruti Kumar Mudunuru	0
7	Frost prediction using machine learning and deep neural network models 2023 ·Frontiers in Artificial Intelligence ·(unknown), Kurt Solander, Maruti Kumar Mudunuru, Brandon L. Crawford, (unknown)	16
8	Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado 2023 ·Hydrology and earth system sciences ·Peishi Jiang, Pin Shuai, Alexander Y. Sun, Maruti Kumar Mudunuru, Xingyuan Chen	19
9	CoolPINNs: A physics-informed neural network modeling of active cooling in vascular systems 2023 ·Applied Mathematical Modelling ·(unknown), Maruti Kumar Mudunuru, K. B. Nakshatrala	12
10	Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science 2022 ·Earth and Space Science ·Denise Hills, Joan Damerow, (unknown), (unknown), (unknown), (unknown), Robert Crystal‐Ornelas, William D. Duncan, Laxmi Goparaju, Cindy Lin, Zhong Liu, Maruti Kumar Mudunuru, Yuhan Rao, (unknown), Ziheng Sun, (unknown), Lesley Wyborn, Tian Yao	3
11	Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering 2022 ·Geothermics ·Velimir V. Vesselinov, (unknown), Maruti Kumar Mudunuru, (unknown), Erick R. Burns, Drew L. Siler, Satish Karra, Richard S. Middleton	6
12	Deep learning to estimate permeability using geophysical data 2022 ·Advances in Water Resources ·Maruti Kumar Mudunuru, (unknown), H. Wang, (unknown)	11
13	Frost Prediction Using Machine Learning and Deep Neural Network Models for Use on Iot Sensors 2022 ·SSRN Electronic Journal ·(unknown), Kurt Solander, Maruti Kumar Mudunuru, (unknown), (unknown)	2
14	A machine learning framework for rapid forecasting and history matching in unconventional reservoirs 2021 ·Scientific Reports ·Shriram Srinivasan, Daniel O’Malley, Maruti Kumar Mudunuru, Matthew Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George Guthrie, Timothy R. Carr, Liwei Li, Hari Viswanathan	35
15	Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks 2021 ·Water Resources Research ·Alexander Y. Sun, Peishi Jiang, Maruti Kumar Mudunuru, Xingyuan Chen	63
16	Physics-Informed Machine Learning for Real-time Reservoir Management. 2020 ·National Conference on Artificial Intelligence ·Maruti Kumar Mudunuru, Daniel O’Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew Sweeney, Luke Frash, (unknown), Michael R. Gross, N. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh Pawar, Timothy R. Carr, Liwei Li, George Guthrie, Hari Viswanathan	3
17	MACHINE LEARNING TO CHARACTERIZE REGIONAL GEOTHERMAL RESERVOIRS IN THE WESTERN USA 2020 ·Abstracts with programs - Geological Society of America ·(unknown), Velimir V. Vesselinov, Maruti Kumar Mudunuru	1
18	Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing 2019 ·Journal of Computational Physics ·Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Daniel O’Malley, Boian S. Alexandrov	26
19	Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems 2017 ·Statistical Analysis and Data Mining The ASA Data Science Journal ·Maruti Kumar Mudunuru, Satish Karra, N. Makedonska, Ting Chen	11
20	On Local and Global Species Conservation Errors for Nonlinear Ecological Models and Chemical Reacting Flows 2015 ·Maruti Kumar Mudunuru, (unknown), K. B. Nakshatrala	5

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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