Vinay Kukreja

10.2k citations
575 papers · 5.5k indexed · 4 hit papers · h-index 47
Topics
Smart Agriculture and AI (298 papers)Plant Disease Management Techniques (96 papers)Spectroscopy and Chemometric Analyses (94 papers)

In The Last Decade

Vinay Kukreja

452 papers receiving 5.5k citations

Hit Papers

A Novel Deep Learning Model for Detection of Severity Lev...2022202620232024202220222023202350100150

Peers

Vinay Kukreja
Comparison fields: 5 of 167
  • Plant Science 2.4k
  • Artificial Intelligence 865
  • Analytical Chemistry 762
  • Computer Vision and Pattern Recognition 694
  • Computer Networks and Communications 418
Replace Elmer P. Dadios with:
Elmer P. Dadios Philippines
Hafiz Tayyab Rauf United Kingdom
Yonis Gulzar Saudi Arabia
Ashish Khanna India
Muhammad Fazal Ijaz South Korea
Muhammad Sharif Pakistan
Paolo Remagnino United Kingdom
Cagatay Catal Türkiye
Jyotir Moy Chatterjee India
Yujian Li China
Vinay Kukreja relative to Elmer P. Dadios Philippines Elmer P. Dadios's profile →
Citations per field
00.5×6.5×
Elmer P. Dadios · 1×
Citations per year

Countries citing papers authored by Vinay Kukreja

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Kukreja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Kukreja

This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Kukreja. A scholar is included among the top collaborators of Vinay Kukreja 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 Vinay Kukreja. Vinay Kukreja 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
#WorkIndexed citations
1 0
2 7
3 18
4 5
5 2
6 3
7 2
8 1
9 1
10 0
11 0
12 2
13 1
14 2
15 1
16 1
17 58
18 10
19 1
20 58

About Vinay Kukreja

Vinay Kukreja is a scholar working on Analytical Chemistry, Plant Science and Computer Vision and Pattern Recognition, having authored 575 papers that have together received 5.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (298 papers), Plant Disease Management Techniques (96 papers) and Spectroscopy and Chemometric Analyses (94 papers). The work is most often cited by research in Analytical Chemistry (762 citations), Plant Science (2.4k citations) and Computer Vision and Pattern Recognition (694 citations). Vinay Kukreja has collaborated with scholars based in India, United Arab Emirates and Iraq. Frequent co-authors include Rishabh Sharma, Shiva Mehta, Deepak Kumar, Sakshi Sakshi, Satvik Vats, Anupam Baliyan, Amit Gupta, Poonam Dhiman, Deepak Banerjee and Ankit Bansal. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

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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