Kamlesh Golhani

536 total citations · 1 hit paper
5 papers, 377 citations indexed

About

Kamlesh Golhani is a scholar working on Analytical Chemistry, Ecology and Plant Science. According to data from OpenAlex, Kamlesh Golhani has authored 5 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Analytical Chemistry, 3 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Kamlesh Golhani's work include Spectroscopy and Chemometric Analyses (5 papers), Remote Sensing in Agriculture (2 papers) and Smart Agriculture and AI (1 paper). Kamlesh Golhani is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Remote Sensing in Agriculture (2 papers) and Smart Agriculture and AI (1 paper). Kamlesh Golhani collaborates with scholars based in Malaysia, Australia and India. Kamlesh Golhani's co-authors include Biswajeet Pradhan, Ganesan Vadamalai, Siva K. Balasundram, Narendra Singh Chandel, Dilip Jat, Kishan Singh, Kumkum Dubey and Yogesh Anand Rajwade and has published in prestigious journals such as International Journal of Remote Sensing, Current Science and Information Processing in Agriculture.

In The Last Decade

Kamlesh Golhani

5 papers receiving 353 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of neural networks in plant disease detection using hyperspectral data

2018 300 citations Kamlesh Golhani, Siva K. Balasundram et al. Information Processing in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamlesh Golhani Malaysia	5	296	195	140	25	20	5	377
M. Knapič Slovenia	9	254 0.9×	176 0.9×	125 0.9×	29 1.2×	18 0.9×	17	369
Stien Mertens Belgium	7	251 0.8×	147 0.8×	197 1.4×	16 0.6×	16 0.8×	11	346
Alexander Wendel Australia	6	262 0.9×	129 0.7×	125 0.9×	25 1.0×	23 1.1×	7	356
Anna Brugger Germany	8	301 1.0×	208 1.1×	163 1.2×	18 0.7×	31 1.6×	9	411
Ziyuan Hao China	10	252 0.9×	80 0.4×	103 0.7×	23 0.9×	25 1.3×	32	428
Alessandro dos Santos Ferreira Brazil	4	459 1.6×	123 0.6×	169 1.2×	27 1.1×	19 0.9×	6	520
Canh Nguyen United States	5	183 0.6×	112 0.6×	123 0.9×	11 0.4×	16 0.8×	7	266
Henry Ruiz United States	7	488 1.6×	97 0.5×	153 1.1×	22 0.9×	14 0.7×	14	572
Afroditi Alexandra Tamouridou Greece	8	413 1.4×	178 0.9×	157 1.1×	11 0.4×	11 0.6×	11	518
Kunlin Zou China	12	356 1.2×	92 0.5×	113 0.8×	28 1.1×	16 0.8×	19	421

Countries citing papers authored by Kamlesh Golhani

Since Specialization

Citations

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

Fields of papers citing papers by Kamlesh Golhani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamlesh Golhani

This figure shows the co-authorship network connecting the top 25 collaborators of Kamlesh Golhani. A scholar is included among the top collaborators of Kamlesh Golhani 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 Kamlesh Golhani. Kamlesh Golhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Chandel, Narendra Singh, et al.. (2020). Canopy spectral reflectance for crop water stress assessment in wheat (Triticum aestivum, L.)*. Irrigation and Drainage. 70(2). 321–331. 13 indexed citations

2.

Golhani, Kamlesh, Siva K. Balasundram, Ganesan Vadamalai, & Biswajeet Pradhan. (2019). Estimating chlorophyll content at leaf scale in viroid-inoculated oil palm seedlings (Elaeis guineensis Jacq.) using reflectance spectra (400 nm–1050 nm). International Journal of Remote Sensing. 40(19). 7647–7662. 28 indexed citations

3.

Chandel, Narendra Singh, et al.. (2019). Yield Prediction in Wheat (<i>Triticum aestivum</i> L.) using Spectral Reflectance Indices. Current Science. 116(2). 272–272. 23 indexed citations

4.

Golhani, Kamlesh, Siva K. Balasundram, Ganesan Vadamalai, & Biswajeet Pradhan. (2019). Selection of a Spectral Index for Detection of Orange Spotting Disease in Oil Palm (Elaeis guineensis Jacq.) Using Red Edge and Neural Network Techniques. Journal of the Indian Society of Remote Sensing. 47(4). 639–646. 13 indexed citations

5.

Golhani, Kamlesh, Siva K. Balasundram, Ganesan Vadamalai, & Biswajeet Pradhan. (2018). A review of neural networks in plant disease detection using hyperspectral data. Information Processing in Agriculture. 5(3). 354–371. 300 indexed citations breakdown →

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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