P. C. Panchariya

623 total citations
22 papers, 483 citations indexed

About

P. C. Panchariya is a scholar working on Analytical Chemistry, Biomedical Engineering and Food Science. According to data from OpenAlex, P. C. Panchariya has authored 22 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Analytical Chemistry, 8 papers in Biomedical Engineering and 6 papers in Food Science. Recurrent topics in P. C. Panchariya's work include Spectroscopy and Chemometric Analyses (9 papers), Advanced Chemical Sensor Technologies (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). P. C. Panchariya is often cited by papers focused on Spectroscopy and Chemometric Analyses (9 papers), Advanced Chemical Sensor Technologies (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). P. C. Panchariya collaborates with scholars based in India, Germany and United Kingdom. P. C. Panchariya's co-authors include D. Popović, Amita Sharma, Palash Kumar Kundu, Amitava Chatterjee, Madhusree Kundu, Surekha Bhanot, Vishal Sharma, Dobrivoje Popović, Karunesh Kumar Gupta and Santosh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Engineering and Sensors and Actuators A Physical.

In The Last Decade

P. C. Panchariya

20 papers receiving 444 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. C. Panchariya India 8 342 103 100 71 68 22 483
Nevena Mišljenović Serbia 11 155 0.5× 69 0.7× 60 0.6× 43 0.6× 117 1.7× 30 405
Md Mahiuddin Australia 7 275 0.8× 93 0.9× 103 1.0× 35 0.5× 35 0.5× 7 413
Ampawan Tansakul Thailand 12 372 1.1× 86 0.8× 130 1.3× 61 0.9× 36 0.5× 20 554
Albert Duquenoy France 15 360 1.1× 73 0.7× 115 1.1× 44 0.6× 62 0.9× 16 596
Jaturapatr Varith Thailand 10 223 0.7× 70 0.7× 190 1.9× 101 1.4× 46 0.7× 27 493
Antonio Marsaioli Brazil 9 290 0.8× 73 0.7× 78 0.8× 34 0.5× 80 1.2× 29 466
Peiqiang Yang China 12 334 1.0× 136 1.3× 157 1.6× 121 1.7× 82 1.2× 24 688
Sandro M. Goñi Argentina 11 194 0.6× 33 0.3× 107 1.1× 74 1.0× 50 0.7× 27 402
Ljubinko Lević Serbia 10 174 0.5× 58 0.6× 77 0.8× 38 0.5× 33 0.5× 32 356
Jade Varaschim Link Brazil 12 330 1.0× 97 0.9× 107 1.1× 173 2.4× 144 2.1× 14 589

Countries citing papers authored by P. C. Panchariya

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Panchariya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. C. Panchariya

This figure shows the co-authorship network connecting the top 25 collaborators of P. C. Panchariya. A scholar is included among the top collaborators of P. C. Panchariya 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. C. Panchariya. P. C. Panchariya 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.
Panchariya, P. C., et al.. (2025). Multi-spectral sensor fusion methodology for the quality assessment of Cymbopogon citratus essential oil. Microchemical Journal. 213. 113878–113878.
2.
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Panchariya, P. C., et al.. (2024). Authentication of Mentha arvensis essential oil using attenuated total reflectance-Fourier transform infrared spectrophotometry coupled with chemometrics. Journal of Food Composition and Analysis. 135. 106576–106576. 4 indexed citations
4.
Bhanot, Surekha, et al.. (2022). Detection of Palm Oil Adulteration in Sunflower Oil Using ATR-MIR Spectroscopy Coupled with Chemometric Algorithms. MAPAN. 37(3). 483–493. 6 indexed citations
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Panchariya, P. C., et al.. (2021). Application of Handheld NIR Spectroscopy for Detection of Adulteration in Turmeric Powder. 1238–1241. 11 indexed citations
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Kumar, Santosh, et al.. (2015). Non-Destructive Classification of Assam Black Tea Using Ultra-fast Gas Chromatography (UFGC) Coupled with Soft Independent Modeling of Class Analogy (SIMCA). SHILAP Revista de lepidopterología. 4 indexed citations
9.
Sharma, Vishal & P. C. Panchariya. (2015). Experimental use of electronic nose for odour detection. International Journal of Engineering Systems Modelling and Simulation. 7(4). 238–238. 3 indexed citations
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11.
Panchariya, P. C., et al.. (2012). Biomimetic classification of juices. 551–556. 6 indexed citations
12.
Kundu, Palash Kumar, Amitava Chatterjee, & P. C. Panchariya. (2011). Electronic Tongue System for Water Sample Authentication: A Slantlet-Transform-Based Approach. IEEE Transactions on Instrumentation and Measurement. 60(6). 1959–1966. 24 indexed citations
13.
Kundu, Palash Kumar, P. C. Panchariya, & Madhusree Kundu. (2011). Classification and authentication of unknown water samples using machine learning algorithms. ISA Transactions. 50(3). 487–495. 19 indexed citations
14.
Panchariya, P. C., et al.. (2005). Rule extraction, complexity reduction and evolutionary optimization for fuzzy modeling. International Journal of Knowledge-based and Intelligent Engineering Systems. 8(4). 189–203. 1 indexed citations
15.
Panchariya, P. C., et al.. (2004). Nonlinear system identification using Takagi-Sugeno type neuro-fuzzy model. 76–81. 13 indexed citations
16.
Panchariya, P. C., et al.. (2003). Simple Fuzzy Modeling Scheme for Compact TS Fuzzy Model Using a Real-Coded Genetic Algorithm.. Indian International Conference on Artificial Intelligence. 1098–1107. 1 indexed citations
17.
Panchariya, P. C., et al.. (2003). Data Driven Simple Fuzzy Rule Generation Algorithm for Fuzzy Modeling and Identification.. Indian International Conference on Artificial Intelligence. 1088–1097. 1 indexed citations
18.
Panchariya, P. C., D. Popović, & Amita Sharma. (2002). Thin-layer modelling of black tea drying process. Journal of Food Engineering. 52(4). 349–357. 315 indexed citations
19.
Panchariya, P. C., D. Popović, & Amita Sharma. (2002). DESORPTION ISOTHERM MODELLING OF BLACK TEA USING ARTIFICIAL NEURAL NETWORKS. Drying Technology. 20(2). 351–362. 23 indexed citations
20.
Panchariya, P. C., D. Popović, & Amita Sharma. (2001). MODELING OF DESORPTION ISOTHERM OF BLACK TEA. Drying Technology. 19(6). 1177–1188. 22 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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