Subir Kumar Chakraborty

2.2k citations
94 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Spectroscopy and Chemometric Analyses (23 papers)Food composition and properties (15 papers)Smart Agriculture and AI (11 papers)
Journals
ScienceSHILAP Revista de lepidopterologíaJournal of Applied Physics

In The Last Decade

Subir Kumar Chakraborty

85 papers receiving 1.4k citations

Hit Papers

Deep learning and computer vision in plant disease detect...2025202620251020304050

Peers

Subir Kumar Chakraborty
Comparison fields: 5 of 116
  • Plant Science 496
  • Analytical Chemistry 367
  • Biomedical Engineering 311
  • Food Science 304
  • Nutrition and Dietetics 180
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Fei Shen China
Diego Galvan Brazil
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Silvana M. Azcarate Argentina
András Salgó Hungary
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Subir Kumar Chakraborty relative to Fei Shen China Fei Shen's profile →
Citations per field
00.5×1.6×
Fei Shen · 1×
Citations per year

Countries citing papers authored by Subir Kumar Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Subir Kumar Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subir Kumar Chakraborty. 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 Subir Kumar Chakraborty. The network helps show where Subir Kumar Chakraborty may publish in the future.

Co-authorship network of co-authors of Subir Kumar Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Subir Kumar Chakraborty. A scholar is included among the top collaborators of Subir Kumar Chakraborty 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 Subir Kumar Chakraborty. Subir Kumar Chakraborty 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 2
3
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculturebreakdown →
53
4 0
5 14
6 1
7 1
8 4
9 5
10 1
11 7
12 11
13 17
14 113
15 4
16
Removal of arsenic from water by coagulation treatment using iron and magnesium salt
7
17
Modeling Scanning Capacitance Microscopy Measurements for a Metal Tip of Arbitrary Shape
1
18
Distribution of Boron and Molybdenum and Their Relationship with Certain Properties of Soils from Assam
4
19
Zinc Status of Soils of Assam
1
20
Copper Status of Soils of Assam
1

About Subir Kumar Chakraborty

Subir Kumar Chakraborty is a scholar working on Analytical Chemistry, Biophysics and Nutrition and Dietetics, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (23 papers), Food composition and properties (15 papers) and Smart Agriculture and AI (11 papers). The work is most often cited by research in Analytical Chemistry (367 citations), Food Science (304 citations) and Plant Science (496 citations). Subir Kumar Chakraborty has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Naveen Kumar Mahanti, Mathava Kumar, R. Pandiselvam, Narendra Singh Chandel, Nachiket Kotwaliwale, Dilip Jat, B. K. Kumbhar, Kumkum Dubey, Yogesh Anand Rajwade and Mukesh Tiwari. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Journal of Applied Physics.

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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