S.A. Saseendran

2.4k total citations
39 papers, 1.7k citations indexed

About

S.A. Saseendran is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science and Plant Science. According to data from OpenAlex, S.A. Saseendran has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Soil Science and 18 papers in Plant Science. Recurrent topics in S.A. Saseendran's work include Climate change impacts on agriculture (22 papers), Irrigation Practices and Water Management (11 papers) and Rice Cultivation and Yield Improvement (10 papers). S.A. Saseendran is often cited by papers focused on Climate change impacts on agriculture (22 papers), Irrigation Practices and Water Management (11 papers) and Rice Cultivation and Yield Improvement (10 papers). S.A. Saseendran collaborates with scholars based in United States, India and China. S.A. Saseendran's co-authors include Liwang Ma, Lajpat R. Ahuja, David C. Nielsen, L. S. Rathore, K. K. Singh, L. R. Ahuja, Timothy R. Green, Gerrit Hoogenboom, Robert W. Malone and Thomas J. Trout and has published in prestigious journals such as Water Resources Research, Climatic Change and Geoderma.

In The Last Decade

S.A. Saseendran

39 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.A. Saseendran United States 24 836 783 759 450 355 39 1.7k
J. Cavero Spain 28 1.1k 1.3× 271 0.3× 894 1.2× 633 1.4× 207 0.6× 80 1.8k
Jingyi Yang China 24 950 1.1× 573 0.7× 692 0.9× 299 0.7× 118 0.3× 55 1.7k
Rachid Mrabet Morocco 22 880 1.1× 290 0.4× 362 0.5× 281 0.6× 199 0.6× 66 1.6k
M. E. Probert Australia 26 1.2k 1.4× 810 1.0× 1.2k 1.6× 320 0.7× 120 0.3× 62 2.5k
Srinivasulu Ale United States 27 717 0.9× 302 0.4× 603 0.8× 523 1.2× 783 2.2× 100 1.9k
S.K. Jalota India 22 790 0.9× 307 0.4× 763 1.0× 304 0.7× 130 0.4× 64 1.4k
Florent Maraux France 11 494 0.6× 438 0.6× 599 0.8× 339 0.8× 85 0.2× 19 1.3k
Nicolas Beaudoin France 13 565 0.7× 259 0.3× 565 0.7× 237 0.5× 136 0.4× 19 1.3k
Rogerio Cichota New Zealand 20 525 0.6× 257 0.3× 322 0.4× 159 0.4× 162 0.5× 76 1.2k
Neil C. Hansen United States 19 695 0.8× 165 0.2× 617 0.8× 253 0.6× 144 0.4× 49 1.4k

Countries citing papers authored by S.A. Saseendran

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Saseendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Saseendran. 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 S.A. Saseendran. The network helps show where S.A. Saseendran may publish in the future.

Co-authorship network of co-authors of S.A. Saseendran

This figure shows the co-authorship network connecting the top 25 collaborators of S.A. Saseendran. A scholar is included among the top collaborators of S.A. Saseendran 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 S.A. Saseendran. S.A. Saseendran 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.
Saseendran, S.A., Lajpat R. Ahuja, Liwang Ma, et al.. (2014). Developing and normalizing average corn crop water production functions across years and locations using a system model. Agricultural Water Management. 157. 65–77. 37 indexed citations
2.
Ko, Jonghan, Lajpat R. Ahuja, S.A. Saseendran, et al.. (2011). Climate change impacts on dryland cropping systems in the Central Great Plains, USA. Climatic Change. 111(2). 445–472. 57 indexed citations
3.
Ma, Liwang, Thomas J. Trout, Lajpat R. Ahuja, et al.. (2011). Calibrating RZWQM2 model for maize responses to deficit irrigation. Agricultural Water Management. 103. 140–149. 92 indexed citations
4.
Saseendran, S.A., David C. Nielsen, Liwang Ma, & L. R. Ahuja. (2010). Adapting CROPGRO for Simulating Spring Canola Growth with Both RZWQM2 and DSSAT 4.0. Agronomy Journal. 102(6). 1606–1621. 19 indexed citations
5.
Saseendran, S.A., David C. Nielsen, Liwang Ma, L. R. Ahuja, & Merle F. Vigil. (2010). Simulating Alternative Dryland Rotational Cropping Systems in the Central Great Plains with RZWQM2. Agronomy Journal. 102(5). 1521–1534. 35 indexed citations
6.
Ma, Liwang, Gerrit Hoogenboom, S.A. Saseendran, et al.. (2009). Effects of Estimating Soil Hydraulic Properties and Root Growth Factor on Soil Water Balance and Crop Production. Agronomy Journal. 101(3). 572–583. 76 indexed citations
7.
Saseendran, S.A., David C. Nielsen, Drew J. Lyon, et al.. (2009). Modeling responses of dryland spring triticale, proso millet and foxtail millet to initial soil water in the High Plains. Field Crops Research. 113(1). 48–63. 33 indexed citations
8.
Malone, Robert W., Li Ma, T. C. Kaspar, et al.. (2008). Winter Cover Crop Effects on Nitrate Leaching in Subsurface Drainage as Simulated by RZWQM-DSSAT. Transactions of the ASABE. 51(5). 1575–1583. 38 indexed citations
9.
Fang, Quanxiao, Liwang Ma, Qiang Yu, et al.. (2008). Modeling Nitrogen and Water Management Effects in a Wheat‐Maize Double‐Cropping System. Journal of Environmental Quality. 37(6). 2232–2242. 78 indexed citations
10.
Ma, Liwang, Robert W. Malone, Philip Heilman, et al.. (2007). RZWQM simulation of long-term crop production, water and nitrogen balances in Northeast Iowa. Geoderma. 140(3). 247–259. 64 indexed citations
11.
Ma, Liwang, Robert W. Malone, Philip Heilman, et al.. (2007). Sensitivity of tile drainage flow and crop yield on measured and calibrated soil hydraulic properties. Geoderma. 140(3). 284–296. 40 indexed citations
12.
Yu, Qiang, S.A. Saseendran, Liwang Ma, et al.. (2006). Modeling a wheat–maize double cropping system in China using two plant growth modules in RZWQM. Agricultural Systems. 89(2-3). 457–477. 87 indexed citations
13.
Saseendran, S.A., L. R. Ahuja, & Liwang Ma. (2003). Crop–Soil Simulation Models. Journal of Environmental Quality. 32(6). 2445–2446. 5 indexed citations
14.
Saseendran, S.A., L. R. Ahuja, & Liwang Ma. (2003). Crop–Soil Simulation Models. Journal of Environmental Quality. 32(6). 2445–a. 13 indexed citations
15.
Ma, Liwang, David C. Nielsen, Lajpat R. Ahuja, et al.. (2003). EVALUATION OF RZWQM UNDER VARYING IRRIGATION LEVELS IN EASTERN COLORADO. Transactions of the ASAE. 46(1). 53 indexed citations
16.
Rathore, L. S., et al.. (2001). Modelling the impact of climate change on rice production in India. MAUSAM. 52(1). 263–274. 8 indexed citations
17.
Lal, Murari, K. K. Singh, L. S. Rathore, G. Srinivasan, & S.A. Saseendran. (1998). Vulnerability of rice and wheat yields in NW India to future changes in climate. Agricultural and Forest Meteorology. 89(2). 101–114. 158 indexed citations
18.
Rao, P. S., et al.. (1996). Medium range weather forecasts in India during Monsoon 1994. Meteorological Applications. 3(4). 317–324. 3 indexed citations
19.
Saseendran, S.A., et al.. (1995). 1 to 10 days extreme rainfall studies for Kerala state. MAUSAM. 46(2). 175–180. 2 indexed citations
20.
Saseendran, S.A. & M. Jayakumar. (1988). Consumptive use and irrigation requirement of coconut plantations in Kerala. Journal of Plantation Crops. 16(2). 119–125. 1 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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