H. S. Talwar

659 total citations
26 papers, 461 citations indexed

About

H. S. Talwar is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, H. S. Talwar has authored 26 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 13 papers in Agronomy and Crop Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in H. S. Talwar's work include Crop Yield and Soil Fertility (11 papers), Genetics and Plant Breeding (11 papers) and Rice Cultivation and Yield Improvement (6 papers). H. S. Talwar is often cited by papers focused on Crop Yield and Soil Fertility (11 papers), Genetics and Plant Breeding (11 papers) and Rice Cultivation and Yield Improvement (6 papers). H. S. Talwar collaborates with scholars based in India, Japan and United States. H. S. Talwar's co-authors include R. C. Nageswara Rao, G. C. Wright, Jana Kholová, Santosh Deshpande, C T Hash, Graeme Hammer, Vincent Vadez, Andrew Borrell, Vilas A. Tonapi and Ashok Kumar Are and has published in prestigious journals such as Kidney International, Field Crops Research and Crop Science.

In The Last Decade

H. S. Talwar

24 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. S. Talwar India	10	382	133	48	45	40	26	461
Nakorn Jongrungklang Thailand	13	422 1.1×	59 0.4×	8 0.2×	68 1.5×	25 0.6×	43	451
Weiqiang Zhang China	10	339 0.9×	164 1.2×	47 1.0×	62 1.4×	26 0.7×	22	430
Man Su China	6	228 0.6×	37 0.3×	32 0.7×	25 0.6×	18 0.5×	7	359
Zhenglai Huang China	11	374 1.0×	121 0.9×	16 0.3×	21 0.5×	52 1.3×	22	406
Jakarat Anothai Thailand	10	283 0.7×	92 0.7×	17 0.4×	87 1.9×	52 1.3×	25	361
Paul A. Asare Ghana	13	304 0.8×	52 0.4×	17 0.4×	130 2.9×	33 0.8×	31	406
S. S. Dhanda India	9	618 1.6×	223 1.7×	32 0.7×	45 1.0×	32 0.8×	19	663
Muhammad Yahya China	6	510 1.3×	176 1.3×	31 0.6×	53 1.2×	13 0.3×	6	578
Tohru Yamagishi Japan	13	497 1.3×	71 0.5×	85 1.8×	34 0.8×	50 1.3×	25	576
Muhammad Rizwan Pakistan	12	477 1.2×	85 0.6×	23 0.5×	61 1.4×	28 0.7×	56	556

Countries citing papers authored by H. S. Talwar

Since Specialization

Citations

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

Fields of papers citing papers by H. S. Talwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. S. Talwar

This figure shows the co-authorship network connecting the top 25 collaborators of H. S. Talwar. A scholar is included among the top collaborators of H. S. Talwar 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 H. S. Talwar. H. S. Talwar 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

Talwar, H. S., et al.. (2022). An APSIM-powered framework for post-rainy sorghum-system design in India. Field Crops Research. 277. 108422–108422. 6 indexed citations

Talwar, H. S., et al.. (2020). Weighted geometric mean index: A model to evaluate drought tolerance in post-rainy season sorghum (Sorghum bicolor (L.) Moench). Cereal Research Communications. 49(2). 329–336. 5 indexed citations

Talwar, H. S., et al.. (2020). Variations in drought tolerance components and their association with yield components in finger millet (Eleusine coracana). Functional Plant Biology. 47(7). 659–674. 13 indexed citations

Talwar, H. S., et al.. (2018). Performance of Sorghum[Sorghum Bicolor (L.) Moench] under salt stress. 1 indexed citations

Talwar, H. S., et al.. (2018). Physiological variability of Sorghum [Sorghum bicolor(L.) Moench] under salt stress.

Rakshit, Sujay, et al.. (2015). Post-flowering drought stress response of post-rainy sorghum genotypes. Indian Journal of Plant Physiology. 21(1). 8–14. 6 indexed citations

Talwar, H. S., et al.. (2015). Variability in heat tolerance in Bambara groundnut (Vigna subterranea (L.) Verdc.). Indian Journal of Plant Physiology. 20(1). 92–96. 1 indexed citations

Talwar, H. S., et al.. (2014). Study on Association of Spad Chlorophyll Meter Reading (SCMR), Photosynthesis and Transpiration Rate with Grain Yield in Sorghum Genotypes Under Post Flowering Moisture Stress Conditions.. The Journal of Research ANGRAU. 41(4). 77–81. 2 indexed citations

Talwar, H. S., et al.. (2010). Strategies to Improve Postflowering Drought Tolerance in Rabi Sorghum for Predicted Climate Change Scenario. Crop improvement. 37(2). 93–98. 6 indexed citations

10.

Talwar, H. S., et al.. (2009). Use of SPAD chlorophyll meter to screen sorghum (Sorghum bicolor) lines for postflowering drought tolerance. The Indian Journal of Agricultural Sciences. 79(1). 35–39. 3 indexed citations

11.

Talwar, H. S., et al.. (2006). Root distribution pattern of sewan (Lasiurus sindicus) and buffel grass (Cenchrus ciliaris) of arid ecosystem of western Rajasthan in relation to their soil binding capacity. The Indian Journal of Agricultural Sciences. 76(12). 716–720. 4 indexed citations

12.

Talwar, H. S., R. C. Nageswara Rao, & S. N. Nigam. (2002). Influence of canopy attributes on the productivity of groundnut. Indian Journal of Plant Physiology. 7(3). 215–220. 2 indexed citations

13.

Talwar, H. S., Anand Chandrasekhar, & R. C. Nageswara Rao. (2002). Genotypic variability in membrane thermo-stability in groundnut. Indian Journal of Plant Physiology. 7(2). 97–102. 10 indexed citations

14.

Talwar, H. S., Abdul Karim, Hiroshi Fukamachi, et al.. (2001). Photosynthetic Response to High Temperature under Different Levels of Irradiance in Mango (Mangifera indica L.). Nettai Nogyo/Nettai nougyou. 45(2). 77–83. 1 indexed citations

15.

Rao, J. V. D. K. Kumar, et al.. (2001). An analysis of yield variation among long-duration pigeonpea genotypes in relation to season, irrigation and plant population. The Journal of Agricultural Science. 136(3). 291–299. 11 indexed citations

16.

Rao, R. C. Nageswara, H. S. Talwar, & G. C. Wright. (2001). Rapid Assessment of Specific Leaf Area and Leaf Nitrogen in Peanut (Arachis hypogaea L.) using a Chlorophyll Meter. Journal of Agronomy and Crop Science. 186(3). 175–182. 163 indexed citations

17.

Talwar, H. S., et al.. (1999). Growth and Photosynthetic Responses of Groundnut Genotypes to High Temperature. Crop Science. 39(2). 460–466. 24 indexed citations

18.

Talwar, H. S., Dharminder Bhatia, & C. P. Malik. (1992). Effect of flower and gynophore removal on the biomass partitioning in various vegetative and reproductive parts in groundnut (Arachis hypogaea L.). Indian Journal of Plant Physiology. 35(2). 125–129. 1 indexed citations

19.

Saxena, N. P., et al.. (1988). Improving harvest index in chickpea through incorporation of cold tolerance. Bioengineered. 12(1). 6831–6843. 9 indexed citations

20.

Talwar, H. S., A. Hari Reddi, J. Menczel, William C. Thomas, & John L. Meyer. (1986). Influence of aluminum on mineralization during matrix–induced bone development. Kidney International. 29(5). 1038–1042. 33 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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