Ravinath Kausik

1.1k total citations
41 papers, 917 citations indexed

About

Ravinath Kausik is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Spectroscopy. According to data from OpenAlex, Ravinath Kausik has authored 41 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nuclear and High Energy Physics, 16 papers in Mechanics of Materials and 13 papers in Spectroscopy. Recurrent topics in Ravinath Kausik's work include NMR spectroscopy and applications (31 papers), Hydrocarbon exploration and reservoir analysis (16 papers) and Advanced NMR Techniques and Applications (12 papers). Ravinath Kausik is often cited by papers focused on NMR spectroscopy and applications (31 papers), Hydrocarbon exploration and reservoir analysis (16 papers) and Advanced NMR Techniques and Applications (12 papers). Ravinath Kausik collaborates with scholars based in United States, British Virgin Islands and Germany. Ravinath Kausik's co-authors include Songi Han, Yi‐Qiao Song, Chi‐Yuan Cheng, Ka Yee C. Lee, Jiayu Wang, Erik Rylander, Richard Lewis, Denise E. Freed, Carlos Mattea and Nail Fatkullin and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Macromolecules.

In The Last Decade

Ravinath Kausik

41 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravinath Kausik United States 17 465 399 215 177 144 41 917
N. Heaton British Virgin Islands 16 509 1.1× 327 0.8× 240 1.1× 35 0.2× 119 0.8× 39 889
C. Casieri Italy 19 347 0.7× 58 0.1× 221 1.0× 62 0.4× 66 0.5× 67 843
F. De Luca Italy 20 464 1.0× 45 0.1× 329 1.5× 117 0.7× 125 0.9× 108 1.1k
Laura Stingaciu United States 14 110 0.2× 52 0.1× 72 0.3× 414 2.3× 161 1.1× 41 983
Meghan E. Halse United Kingdom 19 466 1.0× 53 0.1× 695 3.2× 153 0.9× 325 2.3× 39 1.1k
Robert Meister United States 13 67 0.1× 112 0.3× 60 0.3× 39 0.2× 193 1.3× 31 753
Shigeki Owada Japan 19 72 0.2× 46 0.1× 49 0.2× 111 0.6× 259 1.8× 74 1.1k
Andrew M. Leach United States 15 39 0.1× 97 0.2× 434 2.0× 138 0.8× 163 1.1× 27 1.3k
V. P. Anferov Russia 12 335 0.7× 77 0.2× 288 1.3× 16 0.1× 116 0.8× 25 494
Ilaria De Santo Italy 14 28 0.1× 149 0.4× 44 0.2× 38 0.2× 79 0.5× 31 522

Countries citing papers authored by Ravinath Kausik

Since Specialization
Citations

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

Fields of papers citing papers by Ravinath Kausik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravinath Kausik

This figure shows the co-authorship network connecting the top 25 collaborators of Ravinath Kausik. A scholar is included among the top collaborators of Ravinath Kausik 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 Ravinath Kausik. Ravinath Kausik 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.
Kausik, Ravinath, et al.. (2021). Dual Neural Network Architecture for Determining Permeability and Associated Uncertainty. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 62(1). 122–134. 2 indexed citations
2.
Mitchell, Jonathan, et al.. (2020). Combined High-Resolution Solid-State 1H/13C NMR Spectroscopy and 1H NMR Relaxometry for the Characterization of Kerogen Thermal Maturation. Energy & Fuels. 35(2). 1070–1079. 11 indexed citations
3.
4.
Kausik, Ravinath, et al.. (2019). RESERVOIR PRODUCIBILITY INDEX (RPI) BASED ON 2D NMR T1-T2 LOGS. 1–7. 7 indexed citations
5.
Utsuzawa, Shin, et al.. (2018). Porosity of Drill-Cuttings Using Multinuclear 19F and 1H NMR Measurements. Energy & Fuels. 32(7). 7467–7470. 12 indexed citations
6.
Kausik, Ravinath, et al.. (2018). Temperature Dependence of 2D NMR T1-T2 Maps of Shale. 1 indexed citations
7.
Hürlimann, Martin D., et al.. (2017). High Temperature Fast Field Cycling Study of Crude Oil. Diffusion fundamentals.. 29. 1 indexed citations
8.
Boutis, Gregory S. & Ravinath Kausik. (2017). Comparing the efficacy of solid and magic-echo refocusing sequences: Applications to 1 H NMR echo spectroscopy of shale rock. Solid State Nuclear Magnetic Resonance. 88. 22–28. 12 indexed citations
9.
Ortíz, Alberto, et al.. (2017). Characteristics of Vaca Muerta Formation Revealed by NMR T1-T2 Logging at Large Scale. 5 indexed citations
10.
Kausik, Ravinath, et al.. (2016). High- and Low-Field NMR Relaxometry and Diffusometry of the Bakken Petroleum System. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 58(4). 341–351. 31 indexed citations
11.
Reeder, Stacy, Paul R. Craddock, Erik Rylander, et al.. (2016). The Reservoir Producibility Index: a Metric to Assess Reservoir Quality in Tight-Oil Plays from Logs. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 57(2). 14 indexed citations
12.
Kausik, Ravinath & Martin D. Hürlimann. (2016). Sensitivity and resolution of two-dimensional NMR diffusion-relaxation measurements. Journal of Magnetic Resonance. 270. 12–23. 9 indexed citations
13.
Kausik, Ravinath, et al.. (2015). NMR Relaxometry in Shale and Implications for Logging. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 57(4). 339–350. 68 indexed citations
14.
Wang, Haijing, et al.. (2014). High-Field Nuclear Magnetic Resonance Observation of Gas Shale Fracturing by Methane Gas. Energy & Fuels. 28(6). 3638–3644. 6 indexed citations
15.
Franck, John M., Ravinath Kausik, & Songi Han. (2013). Overhauser dynamic nuclear polarization-enhanced NMR relaxometry. Microporous and Mesoporous Materials. 178. 113–118. 14 indexed citations
16.
Ortony, Julia H., Chi‐Yuan Cheng, John M. Franck, et al.. (2011). Probing the hydration water diffusion of macromolecular surfaces and interfaces. New Journal of Physics. 13(1). 15006–15006. 49 indexed citations
17.
Cheng, Chi‐Yuan, Jiayu Wang, Ravinath Kausik, Ka Yee C. Lee, & Songi Han. (2011). An ultrasensitive tool exploiting hydration dynamics to decipher weak lipid membrane–polymer interactions. Journal of Magnetic Resonance. 215. 115–119. 27 indexed citations
18.
Kausik, Ravinath, et al.. (2011). Characterization of Gas Dynamics in Kerogen Nanopores by NMR. SPE Annual Technical Conference and Exhibition. 51 indexed citations
19.
Kausik, Ravinath & Songi Han. (2009). Ultrasensitive Detection of Interfacial Water Diffusion on Lipid Vesicle Surfaces at Molecular Length Scales. Journal of the American Chemical Society. 131(51). 18254–18256. 39 indexed citations
20.
Kausik, Ravinath, Nail Fatkullin, Nicola Hüsing, & Rainer Kimmich. (2007). Investigations of polymer dynamics in nanoporous media by field cycling NMR relaxometry and the dipolar correlation effect. Magnetic Resonance Imaging. 25(4). 489–492. 9 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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