Hem S. Bhandari

510 total citations
31 papers, 404 citations indexed

About

Hem S. Bhandari is a scholar working on Agronomy and Crop Science, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Hem S. Bhandari has authored 31 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Agronomy and Crop Science, 19 papers in Mechanics of Materials and 14 papers in Biomedical Engineering. Recurrent topics in Hem S. Bhandari's work include Bioenergy crop production and management (20 papers), Forest Biomass Utilization and Management (19 papers) and Biofuel production and bioconversion (14 papers). Hem S. Bhandari is often cited by papers focused on Bioenergy crop production and management (20 papers), Forest Biomass Utilization and Management (19 papers) and Biofuel production and bioconversion (14 papers). Hem S. Bhandari collaborates with scholars based in United States, Russia and Nepal. Hem S. Bhandari's co-authors include Malay C. Saha, Joseph H. Bouton, Vasilia A. Fasoula, J. H. Bouton, I. M. Ray, Peter N. Mascia, Vincent R. Pantalone, Christopher Pierce, E. Charles Brummer and Zeng‐Yu Wang and has published in prestigious journals such as Field Crops Research, Biomass and Bioenergy and Crop Science.

In The Last Decade

Hem S. Bhandari

31 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hem S. Bhandari United States 12 222 207 114 111 64 31 404
Vasilia A. Fasoula United States 12 314 1.4× 509 2.5× 69 0.6× 69 0.6× 92 1.4× 20 630
W. J. Macalpine United Kingdom 9 226 1.0× 111 0.5× 101 0.9× 82 0.7× 28 0.4× 16 336
A. R. McElroy Canada 11 168 0.8× 204 1.0× 56 0.5× 24 0.2× 83 1.3× 25 360
Murilo de Melo Peixoto Canada 7 122 0.5× 171 0.8× 95 0.8× 18 0.2× 18 0.3× 11 295
Jiading Yang China 7 139 0.6× 315 1.5× 63 0.6× 41 0.4× 10 0.2× 18 432
Agostino Fricano Italy 11 114 0.5× 264 1.3× 38 0.3× 16 0.1× 80 1.3× 21 379
Francesco Fabbrini Italy 9 134 0.6× 138 0.7× 60 0.5× 43 0.4× 60 0.9× 10 347
Edward Charles Brummer United States 7 265 1.2× 142 0.7× 23 0.2× 24 0.2× 31 0.5× 8 363
Lorenzo Vietto Italy 8 94 0.4× 101 0.5× 33 0.3× 40 0.4× 39 0.6× 10 202
Serge J. Edmé United States 14 90 0.4× 574 2.8× 167 1.5× 21 0.2× 33 0.5× 52 628

Countries citing papers authored by Hem S. Bhandari

Since Specialization
Citations

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

Fields of papers citing papers by Hem S. Bhandari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hem S. Bhandari

This figure shows the co-authorship network connecting the top 25 collaborators of Hem S. Bhandari. A scholar is included among the top collaborators of Hem S. Bhandari 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 Hem S. Bhandari. Hem S. Bhandari 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.
Tobias, Christian M., et al.. (2023). Mapping quantitative trait loci for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) multiple populations. G3 Genes Genomes Genetics. 13(5). 2 indexed citations
2.
Allen, Fred L., et al.. (2023). Genetic variation for bioenergy traits within and among lowland switchgrass (Panicum virgatum L.) crosses. Biomass and Bioenergy. 175. 106878–106878. 3 indexed citations
3.
Bhandari, Hem S., et al.. (2021). Heterosis for biomass yield and other traits in ‘Alamo’ × ‘Kanlow’ switchgrass populations. Crop Science. 61(6). 4066–4080. 7 indexed citations
4.
Fallen, Benjamin, Hem S. Bhandari, Carl E. Sams, et al.. (2021). Agronomic performance of high oleic, low linolenic soybean in Tennessee. Journal of the American Oil Chemists Society. 98(8). 861–869. 4 indexed citations
5.
Bhandari, Hem S., Carl E. Sams, Virginia R. Sykes, et al.. (2020). Genetic Variation for Biomass Yield and Predicted Genetic Gain in Lowland Switchgrass “Kanlow”. Agronomy. 10(12). 1845–1845. 7 indexed citations
6.
Poudyal, Neelam C., et al.. (2020). Climate change, risk perception, and protection motivation among high-altitude residents of the Mt. Everest region in Nepal. AMBIO. 50(2). 505–518. 19 indexed citations
7.
Bhandari, Hem S., Kristin Bilyeu, Feng Chen, et al.. (2019). Field Performance of High Oleic Soybeans with Mutant FAD2‐1A and FAD2‐1B Genes in Tennessee. Journal of the American Oil Chemists Society. 97(1). 49–56. 10 indexed citations
8.
Bhandari, Hem S., et al.. (2017). Biomass Yield Heterosis in Lowland Switchgrass. Crop Science. 57(4). 2015–2023. 10 indexed citations
9.
Gillman, Jason D., Arnold M. Saxton, Hem S. Bhandari, et al.. (2017). Identifying and exploring significant genomic regions associated with soybean yield, seed fatty acids, protein and oil. Journal of Crop Science and Biotechnology. 20(4). 243–253. 11 indexed citations
10.
Sykes, Virginia R., et al.. (2016). Efficiency of Early Selection in Improving Biomass and Predicted Ethanol Yield in Switchgrass. Crop Science. 56(6). 2940–2951. 4 indexed citations
11.
Sykes, Virginia R., et al.. (2016). Efficiency of Spaced‐Plant Selection in Improving Sward Biomass and Ethanol Yield in Switchgrass. Crop Science. 57(1). 253–263. 8 indexed citations
12.
Ray, I. M., Yuanhong Han, M. K. Sledge, et al.. (2015). Identification of Quantitative Trait Loci for Alfalfa Forage Biomass Productivity during Drought Stress. Crop Science. 55(5). 2012–2033. 32 indexed citations
13.
Bhandari, Hem S., Ali Missaoui, J. H. Bouton, & Malay C. Saha. (2015). Switchgrass as a bioenergy feedstock: advances in breeding and genomics research. 3(02n03). 127–140. 3 indexed citations
14.
Jiang, Qingzhen, Stephen L. Webb, Hem S. Bhandari, et al.. (2014). Variance components and heritability of biomass yield in switchgrass (Panicum virgatum L.) grown in the Southern Great Plains. Field Crops Research. 168. 148–155. 9 indexed citations
15.
Bhandari, Hem S., et al.. (2013). Effects of ecotypes and morphotypes in feedstock composition of switchgrass (Panicum virgatumL.). GCB Bioenergy. 6(1). 26–34. 21 indexed citations
16.
Uppalapati, Srinivasa Rao, Desalegn D. Serba, Yasuhiro Ishiga, et al.. (2012). Characterization of the Rust Fungus, Puccinia emaculata, and Evaluation of Genetic Variability for Rust Resistance in Switchgrass Populations. BioEnergy Research. 6(2). 458–468. 40 indexed citations
17.
18.
Bhandari, Hem S., Malay C. Saha, Vasilia A. Fasoula, & J. H. Bouton. (2011). Estimation of Genetic Parameters for Biomass Yield in Lowland Switchgrass (Panicum virgatum L.). Crop Science. 51(4). 1525–1533. 35 indexed citations
19.
Ge, Yaxin, Chunxiang Fu, Hem S. Bhandari, et al.. (2011). Pollen Viability and Longevity of Switchgrass (Panicum virgatum L.). Crop Science. 51(6). 2698–2705. 44 indexed citations
20.
Bhandari, Hem S., et al.. (2000). Increasing wheat productivity through genetic improvement and management research (1999/2000).. 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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