Anirban Mukherjee

2.9k citations
197 papers · 2.0k indexed · h-index 23

Anirban Mukherjee

178 papers receiving 1.9k citations

Peers

Anirban Mukherjee
Comparison fields: 5 of 171
  • Industrial and Manufacturing Engineering 255
  • Computer Vision and Pattern Recognition 422
  • Soil Science 105
  • Business and International Management 21
  • Periodontics 50
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Citations per year

Countries citing papers authored by Anirban Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Anirban Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anirban Mukherjee, 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 Anirban Mukherjee Line = papers co-authored together Anirban Mukherjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20220
4
Enhancing livelihood security of dairy farmers through farmers’ producer company: A diagnostic study of Bundelkhand region
20208
5 20193
6 20193
7
A comprehensive survey on IoT networking
20192
8
Indigenous methods of grain storage followed by the Lepcha and Limbo tribes in the Himalayan tract of Sikkim
20191
9 20180
10
Marketing Behaviour of Vegetable Growers in Uttarakhand hills
20188
11 201832
12 20171
13 20173
14 201620
15 20169
16 20152
17
Experimenting with Automatic Text-to-Diagram Conversion: A Novel Teaching Aid for the Blind People.
20148
18
Shifting towards vegetable cultivation from that of rice in Purba Medinipur district of West Bengal
20130
19
Conceptual Convergence of Pluralistic Extension at Aligarh District of Uttar Pradesh
20124
20
Total pelvic exenteration for advanced rectal cancer.
19992

About Anirban Mukherjee

Anirban Mukherjee is a scholar working on General Agricultural and Biological Sciences, Microbiology and Computer Vision and Pattern Recognition, having authored 197 papers that have together received 2.0k indexed citations. Recurring topics across this work include Agricultural Economics and Practices (21 papers), Phonocardiography and Auscultation Techniques (11 papers), ECG Monitoring and Analysis (11 papers), Agricultural Systems and Practices (9 papers), Energy Load and Power Forecasting (9 papers), Face and Expression Recognition (9 papers), Electric Power System Optimization (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (255 citations), Computer Vision and Pattern Recognition (422 citations) and Soil Science (105 citations). Anirban Mukherjee has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Pranab Kumar Dutta, Santanu Ghorai, Punit Sharma, Madhusudhan Mishra, Sellam Karunanithi, Chandrasekhar Bal, Sanghamitra Sengupta, Rakesh Kumar, Jyotirmoy Chatterjee and Stephen M. Shalet. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

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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