Ankush Prashar

1.4k total citations
30 papers, 975 citations indexed

About

Ankush Prashar is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology. According to data from OpenAlex, Ankush Prashar has authored 30 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Animal Science and Zoology. Recurrent topics in Ankush Prashar's work include Animal Nutrition and Physiology (6 papers), Corneal surgery and disorders (6 papers) and Remote Sensing in Agriculture (5 papers). Ankush Prashar is often cited by papers focused on Animal Nutrition and Physiology (6 papers), Corneal surgery and disorders (6 papers) and Remote Sensing in Agriculture (5 papers). Ankush Prashar collaborates with scholars based in United Kingdom, Australia and United States. Ankush Prashar's co-authors include H. G. Jones, Glenn J. Bryan, Jeremy A. Guggenheim, L. Torrance, Paul R. J. Birch, Mark A. Taylor, Eleanor M. Gilroy, Ian K. Toth, Ingo Hein and Brian Fenton and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Experimental Botany.

In The Last Decade

Ankush Prashar

29 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankush Prashar United Kingdom 17 585 234 195 159 134 30 975
E. V. Nordheim United States 17 196 0.3× 32 0.1× 51 0.3× 17 0.1× 90 0.7× 33 1.0k
Kazutaka Suzuki Japan 13 154 0.3× 30 0.1× 10 0.1× 26 0.2× 60 0.4× 40 775
Dan Neely United States 12 210 0.4× 15 0.1× 14 0.1× 40 0.3× 92 0.7× 62 462
John Martinson United States 12 35 0.1× 95 0.4× 9 0.0× 17 0.1× 204 1.5× 20 719
Björn Hoppe Germany 20 901 1.5× 28 0.1× 37 0.2× 3 0.0× 354 2.6× 45 1.3k
Xiangru Wang China 21 745 1.3× 39 0.2× 8 0.0× 16 0.1× 21 0.2× 52 1.1k
Frank M. Frey United States 14 259 0.4× 48 0.2× 4 0.0× 7 0.0× 81 0.6× 22 696
Megan L. Harris Canada 14 60 0.1× 55 0.2× 3 0.0× 68 0.4× 94 0.7× 21 794
BD Siebert Australia 22 42 0.1× 66 0.3× 7 0.0× 11 0.1× 141 1.1× 71 1.4k
Z. Wang Canada 29 365 0.6× 50 0.2× 6 0.0× 22 0.1× 183 1.4× 84 2.9k

Countries citing papers authored by Ankush Prashar

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Prashar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankush Prashar

This figure shows the co-authorship network connecting the top 25 collaborators of Ankush Prashar. A scholar is included among the top collaborators of Ankush Prashar 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 Ankush Prashar. Ankush Prashar 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.
2.
Boonham, Neil, et al.. (2025). Weed detection using spectral imaging across diverse environments: Identifying optimal weeding times. Smart Agricultural Technology. 12. 101187–101187. 1 indexed citations
3.
4.
Agarwal, Avinash, et al.. (2025). Infrared Thermography in Plant Factories: Solving Spatiotemporal Variations Via Machine Learning. SHILAP Revista de lepidopterología. 3(1). 3 indexed citations
5.
6.
Agarwal, Avinash, et al.. (2024). Monitoring root rot in flat-leaf parsley via machine vision by unsupervised multivariate analysis of morphometric and spectral parameters. European Journal of Plant Pathology. 169(2). 359–377. 5 indexed citations
7.
Ponce, Olga, et al.. (2022). Transcriptome profiling shows a rapid variety-specific response in two Andigenum potato varieties under drought stress. Frontiers in Plant Science. 13. 1003907–1003907. 12 indexed citations
8.
Bourgenot, Cyril, et al.. (2022). Optical Imaging Resources for Crop Phenotyping and Stress Detection. Methods in molecular biology. 2494. 255–265. 11 indexed citations
9.
Bryan, Glenn J., et al.. (2021). Development and Validation of Methodology for Estimating Potato Canopy Structure for Field Crop Phenotyping and Improved Breeding. Frontiers in Plant Science. 12. 612843–612843. 25 indexed citations
10.
Prashar, Ankush, et al.. (2021). Comparative Study of Optical and Structural Properties of PANI and PANI/CNT Synthesized by Chemical Oxidative Polymerization Method. IOP Conference Series Materials Science and Engineering. 1033(1). 12048–12048. 2 indexed citations
11.
McCallum, Susan, H. G. Jones, Matt Aitkenhead, et al.. (2017). A method for automatic segmentation and splitting of hyperspectral images of raspberry plants collected in field conditions. Plant Methods. 13(1). 74–74. 29 indexed citations
12.
Prashar, Ankush & H. G. Jones. (2016). Assessing Drought Responses Using Thermal Infrared Imaging. Methods in molecular biology. 1398. 209–219. 27 indexed citations
13.
Prashar, Ankush, Csaba Hornyik, Vanessa Young, et al.. (2014). Construction of a dense SNP map of a highly heterozygous diploid potato population and QTL analysis of tuber shape and eye depth. Theoretical and Applied Genetics. 127(10). 2159–2171. 48 indexed citations
14.
Prashar, Ankush, et al.. (2013). Infra-red Thermography for High Throughput Field Phenotyping in Solanum tuberosum. PLoS ONE. 8(6). e65816–e65816. 80 indexed citations
15.
McMahon, George, Tetyana Zayats, Yen‐Po Chen, et al.. (2009). Season of Birth, Daylight Hours at Birth, and High Myopia. Ophthalmology. 116(3). 468–473. 35 indexed citations
16.
Prashar, Ankush, et al.. (2009). The heritability of ocular traits in chickens from a layer-broiler cross. Investigative Ophthalmology & Visual Science. 50(13). 1942–1942. 1 indexed citations
17.
Prashar, Ankush, P.M. Hocking, Jonathan T. Erichsen, et al.. (2009). Common determinants of body size and eye size in chickens from an advanced intercross line. Experimental Eye Research. 89(1). 42–48. 39 indexed citations
18.
Kisiswa, Lilian, Ankush Prashar, Stuart Faulkner, et al.. (2009). 3-Dimensional modelling of chick embryo eye development and growth using high resolution magnetic resonance imaging. Experimental Eye Research. 89(4). 511–521. 22 indexed citations
19.
Guggenheim, Jeremy A., Tetyana Zayats, Ankush Prashar, & Chi Ho To. (2008). Axes of astigmatism in fellow eyes show mirror rather than direct symmetry. Ophthalmic and Physiological Optics. 28(4). 327–333. 24 indexed citations
20.
Prashar, Ankush, Jeremy A. Guggenheim, Jonathan T. Erichsen, P.M. Hocking, & James P. Morgan. (2007). Measurement of intraocular pressure (IOP) in chickens using a rebound tonometer: Quantitative evaluation of variance due to position inaccuracies. Experimental Eye Research. 85(4). 563–571. 42 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by E. V. Nordheim Breakdown of academic impact, for papers by Kazutaka Suzuki Breakdown of academic impact, for papers by Dan Neely Breakdown of academic impact, for papers by John Martinson Breakdown of academic impact, for papers by Björn Hoppe Breakdown of academic impact, for papers by Xiangru Wang Breakdown of academic impact, for papers by Frank M. Frey Breakdown of academic impact, for papers by Megan L. Harris Breakdown of academic impact, for papers by BD Siebert Breakdown of academic impact, for papers by Z. Wang
Rankless by CCL
2026