P. C. Panchariya
- Food Science top 2%
- Mechanics of Materials top 10%
- Plant Science
- Analytical Chemistry top 10%
- Biomedical Engineering
- Co-authors
- D. PopovićAmita SharmaPalash Kumar KunduAmitava ChatterjeeMadhusree KunduVishal SharmaSurekha BhanotKarunesh Kumar Gupta
- Topics
- Spectroscopy and Chemometric Analyses (9 papers)Advanced Chemical Sensor Technologies (8 papers)Spectroscopy Techniques in Biomedical and Chemical Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Food EngineeringSensors and Actuators A Physical
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
P. C. Panchariya
20 papers receiving 444 citations
Peers
Comparison fields: 5 of 69
- Food Science 342
- Mechanics of Materials 103
- Plant Science 100
- Analytical Chemistry 71
- Biomedical Engineering 68
Countries citing papers authored by P. C. Panchariya
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | Non-Destructive Classification of Assam Black Tea Using Ultra-fast Gas Chromatography (UFGC) Coupled with Soft Independent Modeling of Class Analogy (SIMCA) | 4 |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 19 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | Simple Fuzzy Modeling Scheme for Compact TS Fuzzy Model Using a Real-Coded Genetic Algorithm. | 1 |
| 17 | Data Driven Simple Fuzzy Rule Generation Algorithm for Fuzzy Modeling and Identification. | 1 |
| 18 | 315 | |
| 19 | 23 | |
| 20 | 22 |
About P. C. Panchariya
P. C. Panchariya is a scholar working on Analytical Chemistry, Biophysics and Food Science, having authored 22 papers that have together received 483 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (9 papers), Advanced Chemical Sensor Technologies (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Food Science (342 citations), Analytical Chemistry (71 citations) and Mechanics of Materials (103 citations). P. C. Panchariya has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include D. Popović, Amita Sharma, Palash Kumar Kundu, Amitava Chatterjee, Madhusree Kundu, Vishal Sharma, Surekha Bhanot, Karunesh Kumar Gupta, Raj Kumar Gupta and Dobrivoje Popović. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Food Engineering and Sensors and Actuators A Physical.
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.