Yash Dixit

60 total papers · 2.1k total citations
41 papers, 1.4k citations indexed

About

Yash Dixit is a scholar working on Analytical Chemistry, Animal Science and Zoology and Biophysics. According to data from OpenAlex, Yash Dixit has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Analytical Chemistry, 14 papers in Animal Science and Zoology and 12 papers in Biophysics. Recurrent topics in Yash Dixit's work include Spectroscopy and Chemometric Analyses (27 papers), Meat and Animal Product Quality (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (12 papers). Yash Dixit is often cited by papers focused on Spectroscopy and Chemometric Analyses (27 papers), Meat and Animal Product Quality (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (12 papers). Yash Dixit collaborates with scholars based in New Zealand, Australia and Ireland. Yash Dixit's co-authors include Carl Sullivan, Patrick J. Cullen, Rohit Upadhyay, Alex Martynenko, Ahmad Al-Mallahi, N.N. Misra, Manreet Bhullar, Raquel Cama‐Moncunill, Maria P. Casado‐Gavalda and Xavier Cama-Moncunill and has published in prestigious journals such as Food Chemistry, Trends in Food Science & Technology and Food Research International.

In The Last Decade

Yash Dixit

41 papers receiving 1.4k citations

Hit Papers

IoT, Big Data, and Artifi... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yash Dixit 681 311 277 237 217 41 1.4k
Jez Willian Batista Braga 1.2k 1.7× 247 0.8× 343 1.2× 75 0.3× 102 0.5× 73 1.8k
Sergey Kucheryavskiy 646 0.9× 59 0.2× 380 1.4× 104 0.4× 189 0.9× 53 1.5k
Roberto Quevedo 575 0.8× 79 0.3× 300 1.1× 361 1.5× 452 2.1× 67 1.6k
Chiara Cevoli 596 0.9× 52 0.2× 488 1.8× 284 1.2× 249 1.1× 95 1.6k
Jeroen J. Jansen 921 1.4× 26 0.1× 365 1.3× 137 0.6× 125 0.6× 33 1.4k
Mary Beth Seasholtz 1.0k 1.5× 35 0.1× 404 1.5× 100 0.4× 95 0.4× 22 1.8k
Randy J. Pell 827 1.2× 31 0.1× 352 1.3× 84 0.4× 81 0.4× 27 1.6k
Ming Zhao 372 0.5× 41 0.1× 194 0.7× 139 0.6× 126 0.6× 69 1.1k
Rommel Barbosa 414 0.6× 20 0.1× 242 0.9× 105 0.4× 225 1.0× 58 1.4k
Kangsheng Liu 201 0.3× 87 0.3× 165 0.6× 61 0.3× 61 0.3× 86 1.7k

Countries citing papers authored by Yash Dixit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yash Dixit

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

All Works

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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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