Arpita Mukherjee

1.2k citations
64 papers · 726 indexed · h-index 11
Topics
Global trade and economics (13 papers)Piezoelectric Actuators and Control (11 papers)Indian Economic and Social Development (10 papers)
Partner nations
IndiaUnited StatesItaly

In The Last Decade

Arpita Mukherjee

60 papers receiving 694 citations

Peers

Arpita Mukherjee
Comparison fields: 5 of 134
  • Neurology 290
  • Cellular and Molecular Neuroscience 144
  • Immunology 97
  • Physiology 69
  • Control and Systems Engineering 68
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Citations per field
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Citations per year

Countries citing papers authored by Arpita Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Mukherjee. A scholar is included among the top collaborators of Arpita Mukherjee 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 Arpita Mukherjee. Arpita Mukherjee 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 4
2 16
3 2
4 22
5 2
6 2
7
COVID-19, data localisation and G20: Challenges, opportunities and strategies for India
1
8
Analysis of Signal for Determination of Crack Distance from Acoustic Emission Sensor of a Steel Bridge
2
9 5
10
Promoting organic food products and exports: Status, issues and way forward
3
11
Organic Farming in India: Status, Issues and Way Forward; Executive Summary
1
12 359
13 9
14 7
15
Employment Conditions in Organised and Unorganised Retail: Implications for FDI Policy in India
2
16
Comparison of Alcohol Production in Batch Culture Using Different Substrates by Saccharomyces Cerevisiae
1
17 8
18 4
19 0
20
New deal for young people: national survey of participants: stage 2
12

About Arpita Mukherjee

Arpita Mukherjee is a scholar working on General Economics, Econometrics and Finance, Business and International Management and Control and Systems Engineering, having authored 64 papers that have together received 726 indexed citations. Recurring topics across this work include Global trade and economics (13 papers), Piezoelectric Actuators and Control (11 papers) and Indian Economic and Social Development (10 papers). The work is most often cited by research in Neurology (290 citations), Physiology (69 citations) and Developmental Neuroscience (51 citations). Arpita Mukherjee has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Przemyslaw Swiatkowski, Long‐Jun Wu, Jing Peng, Ukpong B. Eyo, Murali K. Mantrala, Shaoming Zou, Anindita Sengupta, Sujoy K. Das, Johannes Feist and Amit Pandey. Their work appears in journals such as Journal of the American Chemical Society, Journal of Neuroscience and IEEE Transactions on Industrial Electronics.

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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