K. Rupa Kumar

5.9k total citations
21 papers, 1.1k citations indexed

About

K. Rupa Kumar is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, K. Rupa Kumar has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in K. Rupa Kumar's work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (11 papers) and Climate change impacts on agriculture (6 papers). K. Rupa Kumar is often cited by papers focused on Climate variability and models (15 papers), Meteorological Phenomena and Simulations (11 papers) and Climate change impacts on agriculture (6 papers). K. Rupa Kumar collaborates with scholars based in India, France and Switzerland. K. Rupa Kumar's co-authors include J. V. Revadekar, D. R. Kothawale, Bh. V. Ramana Murty, L. S. Hingane, G. B. Pant, Raghavendra Ashrit, H. P. Borgaonkar, Ramesh Kumar Yadav, M. Rajeevan and S. K. Patwardhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

K. Rupa Kumar

20 papers receiving 1.1k 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. Rupa Kumar India 16 966 780 194 97 90 21 1.1k
R Francisco Italy 7 1.4k 1.5× 1.1k 1.5× 148 0.8× 63 0.6× 123 1.4× 10 1.6k
A. K. Jaswal India 16 941 1.0× 604 0.8× 161 0.8× 151 1.6× 75 0.8× 28 1.1k
F. S. Syed Pakistan 15 1.4k 1.5× 1.2k 1.6× 156 0.8× 79 0.8× 200 2.2× 21 1.6k
Daniel Martínez-Castro Peru 18 1.3k 1.3× 1.2k 1.5× 97 0.5× 87 0.9× 85 0.9× 53 1.5k
Binhui Liu China 9 875 0.9× 532 0.7× 115 0.6× 100 1.0× 20 0.2× 10 1.0k
Arthur M. Greene United States 15 1.0k 1.0× 749 1.0× 102 0.5× 67 0.7× 255 2.8× 27 1.2k
C. Boroneanţ Spain 13 1.1k 1.1× 618 0.8× 165 0.9× 197 2.0× 81 0.9× 22 1.3k
N. A. Sontakke India 13 934 1.0× 633 0.8× 181 0.9× 88 0.9× 110 1.2× 18 1.1k
Zhao Zongci China 13 649 0.7× 512 0.7× 66 0.3× 77 0.8× 39 0.4× 40 818

Countries citing papers authored by K. Rupa Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Rupa Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Rupa Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of K. Rupa Kumar. A scholar is included among the top collaborators of K. Rupa Kumar 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. Rupa Kumar. K. Rupa Kumar 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.
Anand, S. & K. Rupa Kumar. (2020). Design, Development and Optimisation of Carvedilol Microemulsion by Pseudoternary Phase diagram and Central Composite design. International Journal of Research in Pharmaceutical Sciences. 11(4). 6619–6632. 2 indexed citations
2.
Kumar, K. Rupa, et al.. (2015). Hypothyroid associated megaesophagus in dogs: four years (2009-2013) study in Hyderabad, India. SHILAP Revista de lepidopterología. 2(2). 221–221. 2 indexed citations
3.
Kumar, K. Rupa, et al.. (2013). Clinico-Pathological and Diagnostic Aspects of Tetanus in A Goat. International Journal of Livestock Research. 3(1). 122–122.
4.
Revadekar, J. V., S. K. Patwardhan, & K. Rupa Kumar. (2011). Characteristic Features of Precipitation Extremes over India in the Warming Scenarios. Advances in Meteorology. 2011. 1–11. 47 indexed citations
5.
Revadekar, J. V., D. R. Kothawale, S. K. Patwardhan, G. B. Pant, & K. Rupa Kumar. (2011). About the observed and future changes in temperature extremes over India. Natural Hazards. 60(3). 1133–1155. 74 indexed citations
6.
Kothawale, D. R., J. V. Revadekar, & K. Rupa Kumar. (2010). Recent trends in pre-monsoon daily temperature extremes over India. Journal of Earth System Science. 119(1). 51–65. 183 indexed citations
7.
Yadav, Ramesh Kumar, K. Rupa Kumar, & M. Rajeevan. (2009). Increasing influence of ENSO and decreasing influence of AO/NAO in the recent decades over northwest India winter precipitation. Journal of Geophysical Research Atmospheres. 114(D12). 117 indexed citations
8.
Yadav, Ramesh Kumar, K. Rupa Kumar, & M. Rajeevan. (2008). Climate change scenarios for Northwest India winter season. Quaternary International. 213(1-2). 12–19. 19 indexed citations
9.
Singh, Omvir, et al.. (2006). Simulation of characteristic features of Asian summer monsoon using a regional climate model. MAUSAM. 57(2). 221–230. 5 indexed citations
10.
Ashrit, Raghavendra, Hervé Douville, & K. Rupa Kumar. (2003). Response of the Indian Monsoon and ENSO-Monsoon Teleconnection to Enhanced Greenhouse Effect in the CNRM Coupled Model. Journal of the Meteorological Society of Japan Ser II. 81(4). 779–803. 61 indexed citations
11.
Douville, Hervé, et al.. (2001). Searching for a fingerprint of global warming in the Asian summer monsoon. MAUSAM. 52(1). 213–220. 50 indexed citations
12.
Ashrit, Raghavendra, K. Rupa Kumar, & Kireet Kumar. (2001). ENSO‐monsoon relationships in a greenhouse warming scenario. Geophysical Research Letters. 28(9). 1727–1730. 82 indexed citations
13.
14.
Pant, G. B., K. Rupa Kumar, H. P. Borgaonkar, et al.. (2000). Climatic response ofCedrus deodaratree-ring parameters from two sites in the western Himalaya. Canadian Journal of Forest Research. 30(7). 1127–1135. 31 indexed citations
15.
Borgaonkar, H. P., G. B. Pant, & K. Rupa Kumar. (1996). RING-WIDTH VARIATIONS INCEDRUS DEODARA AND ITS CLIMATIC RESPONSE OVER THE WESTERN HIMALAYA. International Journal of Climatology. 16(12). 1409–1422. 66 indexed citations
16.
Borgaonkar, H. P., G. B. Pant, & K. Rupa Kumar. (1994). Dendroclimatic reconstruction of summer precipitation at Srinagar, Kashmir, India, since the late-eighteenth century. The Holocene. 4(3). 299–306. 59 indexed citations
17.
Parthasarathy, Balaji, et al.. (1991). Indian summer monsoon rainfall and 200‐mbar meridional wind index: Application for long‐range prediction. International Journal of Climatology. 11(2). 165–176. 36 indexed citations
18.
Parthasarathy, Balaji, K. Rupa Kumar, & N. A. Sontakke. (1990). Surface and upper air temperatures over India in relation to monsoon rainfall. Theoretical and Applied Climatology. 42(2). 93–110. 54 indexed citations
19.
Kumar, K. Rupa, L. S. Hingane, & Bh. V. Ramana Murty. (1987). Variation of Tropospheric Temperatures over India dining 1944–85. Journal of Climate and Applied Meteorology. 26(2). 304–314. 15 indexed citations
20.
Hingane, L. S., K. Rupa Kumar, & Bh. V. Ramana Murty. (1985). Long‐term trends of surface air temperature in india. Journal of Climatology. 5(5). 521–528. 191 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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