Yash Dixit
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Analytical chemistry methods development
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
Papers in
-
- Spectroscopy and Chemometric Analyses 27
- Analytical chemistry methods development 7
-
- Meat and Animal Product Quality 14
- Co-authors
- N.N. Misra (1 shared paper)Alex Martynenko (1 shared paper)Manreet Bhullar (1 shared paper)Ahmad Al-Mallahi (1 shared paper)Rohit Upadhyay (1 shared paper)Patrick J. Cullen (20 shared papers)Carl Sullivan (20 shared papers)Maria P. Casado‐Gavalda (18 shared papers)
- Journals
- Meat Science (4 papers)Journal of Food Engineering (3 papers)Food Research International (3 papers)Food Control (2 papers)Talanta (2 papers)
- Partner nations
- New ZealandAustraliaIreland
In The Last Decade
Yash Dixit
42 papers receiving 1.6k citations
Yash Dixit's Hit Papers
Peers
Comparison fields: 5 of 134
- Analytical Chemistry 742
- Animal Science and Zoology 252
- Biophysics 127
- Food Science 247
- Mechanics of Materials 336
Countries citing papers authored by Yash Dixit
This map shows the geographic impact of Yash Dixit'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 Yash Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Dixit more than expected).
Fields of papers citing papers by Yash Dixit
This network shows the impact of papers produced by Yash Dixit. 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 Yash Dixit. The network helps show where Yash Dixit may publish in the future.
Co-authors
The 25 scholars most cited alongside Yash Dixit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry Hit paper breakdown → | 2020 | 614 |
| 2 | 2017 | 207 | |
| 3 | 2017 | 104 | |
| 4 | 2022 | 93 | |
| 5 | 2020 | 58 | |
| 6 | 2017 | 52 | |
| 7 | 2017 | 47 | |
| 8 | 2019 | 45 | |
| 9 | 2017 | 37 | |
| 10 | 2016 | 37 | |
| 11 | 2023 | 34 | |
| 12 | 2023 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2016 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2017 | 23 | |
| 17 | 2017 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2022 | 18 | |
| 20 | 2015 | 18 |
About Yash Dixit
Yash Dixit is a scholar working on Analytical Chemistry, Animal Science and Zoology, Biophysics, Biomedical Engineering and Mechanics of Materials, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (27 papers), Meat and Animal Product Quality (14 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers), Advanced Chemical Sensor Technologies (12 papers), Laser-induced spectroscopy and plasma (9 papers), Analytical chemistry methods development (7 papers), Identification and Quantification in Food (6 papers) and Cultural Heritage Materials Analysis (4 papers). The work is most often cited by research in Analytical Chemistry (742 citations), Animal Science and Zoology (252 citations), Biophysics (127 citations), Food Science (247 citations) and Mechanics of Materials (336 citations). Yash Dixit has collaborated with scholars based in New Zealand, Australia and Ireland. Frequent co-authors include N.N. Misra, Alex Martynenko, Manreet Bhullar, Ahmad Al-Mallahi, Rohit Upadhyay, Patrick J. Cullen, Carl Sullivan, Maria P. Casado‐Gavalda, Raquel Cama‐Moncunill and Xavier Cama-Moncunill. Their work appears in journals such as Meat Science, Journal of Food Engineering, Food Research International, Food Control and Talanta.
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.