K. V. Narasimha Murthy

416 total citations
19 papers, 288 citations indexed

About

K. V. Narasimha Murthy is a scholar working on Global and Planetary Change, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, K. V. Narasimha Murthy has authored 19 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 7 papers in Environmental Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in K. V. Narasimha Murthy's work include Climate variability and models (9 papers), Hydrology and Drought Analysis (8 papers) and Hydrological Forecasting Using AI (6 papers). K. V. Narasimha Murthy is often cited by papers focused on Climate variability and models (9 papers), Hydrology and Drought Analysis (8 papers) and Hydrological Forecasting Using AI (6 papers). K. V. Narasimha Murthy collaborates with scholars based in India, South Africa and United Kingdom. K. V. Narasimha Murthy's co-authors include R. Saravana, Kapil Kumar, Rajendra Prasath, Amulya K. N. Reddy, A. Subba Rao, Oluwole Daniel Makinde, V. Ramachandra Prasad, N. Nagendra, O. Anwar Bég and N. Bhaskar Reddy and has published in prestigious journals such as Pure and Applied Geophysics, The Canadian Journal of Chemical Engineering and Energy Sustainable Development.

In The Last Decade

K. V. Narasimha Murthy

18 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. V. Narasimha Murthy India 10 83 81 59 54 48 19 288
Albert K. Sunnu Ghana 9 62 0.7× 33 0.4× 52 0.9× 139 2.6× 42 0.9× 22 368
Fabio Famoso Italy 14 44 0.5× 132 1.6× 126 2.1× 37 0.7× 45 0.9× 27 416
Carlos Montañés Spain 9 62 0.7× 98 1.2× 98 1.7× 53 1.0× 92 1.9× 15 464
Martin Thebault France 10 63 0.8× 117 1.4× 50 0.8× 21 0.4× 23 0.5× 22 294
Rodrigo Corrêa da Silva Brazil 7 37 0.4× 33 0.4× 49 0.8× 112 2.1× 63 1.3× 11 432
Pearl Donohoo United States 7 94 1.1× 31 0.4× 183 3.1× 79 1.5× 33 0.7× 10 428
Muhammad Asim Pakistan 12 59 0.7× 30 0.4× 141 2.4× 24 0.4× 36 0.8× 33 443
Charles D. Litton United States 12 65 0.8× 83 1.0× 25 0.4× 18 0.3× 81 1.7× 49 363
Wolfgang Palz Belgium 9 35 0.4× 65 0.8× 58 1.0× 28 0.5× 35 0.7× 14 291
Aniket Sawant United States 12 87 1.0× 154 1.9× 34 0.6× 64 1.2× 28 0.6× 15 613

Countries citing papers authored by K. V. Narasimha Murthy

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Narasimha Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Narasimha Murthy. 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 K. V. Narasimha Murthy. The network helps show where K. V. Narasimha Murthy may publish in the future.

Co-authorship network of co-authors of K. V. Narasimha Murthy

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

All Works

19 of 19 papers shown
1.
2.
Venkatadri, K., K. V. Narasimha Murthy, Tasveer A. Bég, O. Anwar Bég, & S. Kuharat. (2024). Numerical simulation of natural convection in a rectangular enclosure filled with porous medium saturated with magnetic nanofluid using Buongiorno's two‐component model. The Canadian Journal of Chemical Engineering. 102(10). 3639–3660. 12 indexed citations
3.
Murthy, K. V. Narasimha, et al.. (2024). Dynamic Linear Modeling for Characterizing and Predicting the Patterns of Summer Monsoon Rainfall in Northwest India. Pure and Applied Geophysics. 181(3). 1003–1016. 1 indexed citations
4.
Murthy, K. V. Narasimha, et al.. (2022). Distribution and Prediction of Monsoon Rainfall in Homogeneous Regions of India: A Stochastic Approach. Pure and Applied Geophysics. 179(6-7). 2577–2590. 3 indexed citations
5.
Saravana, R., et al.. (2022). Thermal radiation and diffusion effects in MHD Williamson and Casson fluid flows past a slendering stretching surface. Heat Transfer. 51(4). 3187–3200. 23 indexed citations
6.
Murthy, K. V. Narasimha, et al.. (2021). Modelling and forecasting for monthly surface air temperature patterns in India, 1951–2016: Structural time series approach. Journal of Earth System Science. 130(1). 4 indexed citations
7.
Murthy, K. V. Narasimha, et al.. (2020). Structural time-series modelling for seasonal surface air temperature patterns in India 1951–2016. Meteorology and Atmospheric Physics. 133(1). 27–39. 9 indexed citations
8.
Murthy, K. V. Narasimha, et al.. (2020). Modeling and predicting the patterns of seasonal rainfall in Tamil Nadu, India 1951–2017: an UCM approach. Arabian Journal of Geosciences. 13(5). 4 indexed citations
9.
Prasath, Rajendra, et al.. (2019). Use of ANN models in the prediction of meteorological data. Modeling Earth Systems and Environment. 5(3). 1051–1058. 37 indexed citations
10.
Murthy, K. V. Narasimha, R. Saravana, & Kapil Kumar. (2018). Stochastic modelling of the monthly average maximum and minimum temperature patterns in India 1981–2015. Meteorology and Atmospheric Physics. 131(4). 775–787. 9 indexed citations
11.
Murthy, K. V. Narasimha, R. Saravana, & Rajendra Prasath. (2018). Critical comparison of north east monsoon rainfall for different regions through analysis of means technique. MAUSAM. 69(3). 411–418. 11 indexed citations
12.
Murthy, K. V. Narasimha, et al.. (2018). Unobservable Components Modelling of Monthly Average Maximum and Minimum Temperature Patterns in India 1981–2015. Pure and Applied Geophysics. 176(1). 463–482. 5 indexed citations
13.
Murthy, K. V. Narasimha, R. Saravana, & Rajendra Prasath. (2018). Unobserved component modeling for seasonal rainfall patterns in Rayalaseema region, India 1951–2015. Meteorology and Atmospheric Physics. 131(5). 1387–1399. 13 indexed citations
14.
Murthy, K. V. Narasimha, R. Saravana, & Kapil Kumar. (2017). Modeling and forecasting rainfall patterns of southwest monsoons in North–East India as a SARIMA process. Meteorology and Atmospheric Physics. 130(1). 99–106. 52 indexed citations
15.
Rao, A. Subba, V. Ramachandra Prasad, N. Nagendra, et al.. (2015). Numerical Modeling of Non-Similar Mixed Convection Heat Transfer over a Stretching Surface with Slip Conditions. World Journal of Mechanics. 5(6). 117–128. 16 indexed citations
16.
Murthy, K. V. Narasimha, et al.. (2006). Environmental Reform in the Electricity Sector. The Journal of Environment & Development. 15(2). 158–183. 7 indexed citations
17.
Murthy, K. V. Narasimha, et al.. (2004). LPG as a cooking fuel option for India. Energy Sustainable Development. 8(3). 91–106. 46 indexed citations
18.
Murthy, K. V. Narasimha, et al.. (2001). End-uses of electricity in households of Karnataka state, India. Energy Sustainable Development. 5(3). 81–94. 27 indexed citations
19.
Reddy, Amulya K. N., et al.. (1999). India's Power Sector Liberalisation: An Overview. Economic and political weekly. 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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