Sanket Biswas

670 citations
32 papers · 289 indexed · h-index 10

Sanket Biswas

26 papers receiving 258 citations

Peers

Sanket Biswas
Comparison fields: 5 of 96
  • Parasitology 30
  • Computer Vision and Pattern Recognition 80
  • Virology 14
  • Industrial and Manufacturing Engineering 27
  • Endocrinology 13
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Countries citing papers authored by Sanket Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Sanket Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sanket Biswas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanket Biswas Line = papers co-authored together Sanket Biswas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20243
6 20243
7 20242
8 202315
9 20230
10 202233
11 202114
12
Rejoinder of diverse organic growing media on morphological attributes of nine Heliconia species and varieties under West Bengal condition.
20192
13
AWARENESS OF FARMERS REGARDING HYGIENIC HANDLING OF THEIR CATTLE TO PREVENT ZOONOTIC DISEASES
20154
14
Validation of Selected Ethno-veterinary Practices through Farmer Participatory Research Approach in Jalpaiguri District of West Bengal
20121
15
Development of Cognitive Learning Scale to Test the Knowledge of Poultry Farmers
20120
16
Ethnobotany of Gadaba tribe of Malkangiri district, Orissa, India.
20090
17 20085
18 20089
19 200828
20
An induced flower colour mutant in grass pea (Lathyrus sativus L.)
20022

About Sanket Biswas

Sanket Biswas is a scholar working on Parasitology, Computer Vision and Pattern Recognition and Agronomy and Crop Science, having authored 32 papers that have together received 289 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Flowering Plant Growth and Cultivation (4 papers), Bartonella species infections research (3 papers), Image Retrieval and Classification Techniques (2 papers), Plant Physiology and Cultivation Studies (2 papers), Livestock Management and Performance Improvement (2 papers), Image Processing and 3D Reconstruction (2 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Parasitology (30 citations), Computer Vision and Pattern Recognition (80 citations) and Virology (14 citations). Sanket Biswas has collaborated with scholars based in India, Spain and France. Frequent co-authors include B. S. Prabhu, S.S. Pande, Jean‐Marc Rolain, Josep Lladós, Umapada Pal, Didier Raoult, Priti Gupta, Suvojit Manna, Subhas Barman and Alícia Fornés. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Antimicrobial Chemotherapy and Clinical Microbiology and Infection.

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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