P.P. Subedi

1.4k total citations
43 papers, 1.2k citations indexed

About

P.P. Subedi is a scholar working on Analytical Chemistry, Plant Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, P.P. Subedi has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Analytical Chemistry, 20 papers in Plant Science and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in P.P. Subedi's work include Spectroscopy and Chemometric Analyses (25 papers), Water Quality Monitoring and Analysis (11 papers) and Leaf Properties and Growth Measurement (9 papers). P.P. Subedi is often cited by papers focused on Spectroscopy and Chemometric Analyses (25 papers), Water Quality Monitoring and Analysis (11 papers) and Leaf Properties and Growth Measurement (9 papers). P.P. Subedi collaborates with scholars based in Australia, Nepal and China. P.P. Subedi's co-authors include Kerry B. Walsh, Dennis Jarvis, Nicholas Anderson, Xudong Sun, Rachel E. Walker, Nanjappa Ashwath, D. W. Hopkins, Anne-Helen Harding, Drona Rasali and W. B. McGlasson and has published in prestigious journals such as Industrial Crops and Products, Computers and Electronics in Agriculture and Postharvest Biology and Technology.

In The Last Decade

P.P. Subedi

39 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
P.P. Subedi Australia 17 716 637 238 186 164 43 1.2k
Bahareh Jamshidi Iran 16 700 1.0× 531 0.8× 169 0.7× 237 1.3× 158 1.0× 31 1.1k
Chuanqi Xie China 17 784 1.1× 682 1.1× 138 0.6× 242 1.3× 140 0.9× 38 1.4k
Valentina Giovenzana Italy 20 599 0.8× 329 0.5× 169 0.7× 283 1.5× 133 0.8× 70 1.0k
Hanping Mao China 18 604 0.8× 462 0.7× 106 0.4× 247 1.3× 141 0.9× 63 1.1k
R. Beghi Italy 19 808 1.1× 417 0.7× 250 1.1× 355 1.9× 178 1.1× 76 1.2k
Xi Tian China 21 1.1k 1.6× 474 0.7× 338 1.4× 412 2.2× 324 2.0× 39 1.3k
Belén Diezma Iglesias Spain 16 717 1.0× 533 0.8× 94 0.4× 304 1.6× 139 0.8× 81 1.2k
Ze’ev Schmilovitch Israel 14 454 0.6× 332 0.5× 121 0.5× 155 0.8× 86 0.5× 26 698
Xinjie Yu China 14 664 0.9× 288 0.5× 120 0.5× 252 1.4× 152 0.9× 26 875
Yanru Zhao China 19 682 1.0× 388 0.6× 99 0.4× 178 1.0× 144 0.9× 45 1.0k

Countries citing papers authored by P.P. Subedi

Since Specialization
Citations

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

Fields of papers citing papers by P.P. Subedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.P. Subedi. 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 P.P. Subedi. The network helps show where P.P. Subedi may publish in the future.

Co-authorship network of co-authors of P.P. Subedi

This figure shows the co-authorship network connecting the top 25 collaborators of P.P. Subedi. A scholar is included among the top collaborators of P.P. Subedi 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 P.P. Subedi. P.P. Subedi 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.
Subedi, P.P., et al.. (2023). Factors Influencing Consumer Adoption of Online Banking in Nepal. 16(1). 99–111. 1 indexed citations
2.
Sun, Xudong, P.P. Subedi, & Kerry B. Walsh. (2020). Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content. Postharvest Biology and Technology. 162. 111117–111117. 46 indexed citations
3.
Anderson, Nicholas, et al.. (2020). Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. Postharvest Biology and Technology. 168. 111202–111202. 78 indexed citations
4.
Walsh, Kerry B. & P.P. Subedi. (2016). In-field monitoring of mango fruit dry matter for maturity estimation. Acta Horticulturae. 273–278. 11 indexed citations
5.
Walsh, Kerry B., et al.. (2016). Spectrophotometer Ageing and Prediction of Fruit Attributes. Journal of Near Infrared Spectroscopy. 24(4). 337–344. 4 indexed citations
6.
Subedi, P.P., et al.. (2016). Assessment of internal flesh browning in intact apple using visible-short wave near infrared spectroscopy. Postharvest Biology and Technology. 120. 103–111. 51 indexed citations
7.
Subedi, P.P., et al.. (2016). Estimation of fruit maturation and ripening using spectral indices. Acta Horticulturae. 265–272. 8 indexed citations
8.
Walsh, Kerry B., et al.. (2015). A CASE STUDY OF A DECISION SUPPORT SYSTEM ON MANGO FRUIT MATURITY. Acta Horticulturae. 195–204. 3 indexed citations
9.
Walsh, Kerry B., et al.. (2015). Microalgal fatty acid composition: rapid assessment using near-infrared spectroscopy. Journal of Applied Phycology. 28(1). 85–94. 10 indexed citations
10.
Holford, Paul, et al.. (2014). Determining the harvest maturity of vanilla beans. Scientia Horticulturae. 168. 249–257. 12 indexed citations
11.
Subedi, P.P., et al.. (2013). DETERMINATION OF OPTIMUM MATURITY STAGES OF MANGOES USING FRUIT SPECTRAL SIGNATURES. Acta Horticulturae. 521–527. 12 indexed citations
12.
Walsh, Kerry B., et al.. (2013). Biomass and Total Lipid Content Assessment of Microalgal Cultures Using Near and Short Wave Infrared Spectroscopy. BioEnergy Research. 7(1). 306–318. 16 indexed citations
13.
Walsh, Kerry B., et al.. (2013). Estimating mango crop yield using image analysis using fruit at ‘stone hardening’ stage and night time imaging. Computers and Electronics in Agriculture. 100. 160–167. 90 indexed citations
14.
Subedi, P.P., et al.. (2012). Evaluation of a Dry Extract System Involving NIR Spectroscopy (DESIR) for Rapid Assessment of Pesticide Contamination of Fruit Surfaces. American Journal of Analytical Chemistry. 3(8). 524–533. 15 indexed citations
15.
Walsh, Kerry B., et al.. (2012). Estimation of mango crop yield using image analysis – Segmentation method. Computers and Electronics in Agriculture. 91. 57–64. 166 indexed citations
16.
Subedi, P.P., Kerry B. Walsh, & D. W. Hopkins. (2012). Assessment of Titratable Acidity in Fruit Using Short Wave near Infrared Spectroscopy. Part A: Establishing a Detection Limit Based on Model Solutions. Journal of Near Infrared Spectroscopy. 20(4). 449–457. 6 indexed citations
17.
Subedi, P.P. & Kerry B. Walsh. (2011). Assessment of sugar and starch in intact banana and mango fruit by SWNIR spectroscopy. Postharvest Biology and Technology. 62(3). 238–245. 83 indexed citations
18.
Subedi, P.P. & Kerry B. Walsh. (2008). Non-invasive techniques for measurement of fresh fruit firmness. Postharvest Biology and Technology. 51(3). 297–304. 50 indexed citations
19.
Harding, Anne-Helen, et al.. (2003). Household adoption and the associated impact of multiple agricultural technologies in the western hills of Nepal. Agricultural Systems. 76(2). 715–738. 29 indexed citations
20.
Harding, Anne-Helen, et al.. (1999). The Adoption and Associated Impact of Technologies in the Western Hills of Nepal. OpenGrey (Institut de l'Information Scientifique et Technique). 8 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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