Nandini Mukherjee

1.7k total citations
135 papers, 1.0k citations indexed

About

Nandini Mukherjee is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Nandini Mukherjee has authored 135 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Networks and Communications, 35 papers in Information Systems and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Nandini Mukherjee's work include Energy Efficient Wireless Sensor Networks (44 papers), IoT and Edge/Fog Computing (28 papers) and Cloud Computing and Resource Management (28 papers). Nandini Mukherjee is often cited by papers focused on Energy Efficient Wireless Sensor Networks (44 papers), IoT and Edge/Fog Computing (28 papers) and Cloud Computing and Resource Management (28 papers). Nandini Mukherjee collaborates with scholars based in India, Malaysia and United Kingdom. Nandini Mukherjee's co-authors include Sarbani Roy, Suman Sankar Bhunia, Zeenat Rehena, Sunirmal Khatua, Sunanda Bose, Souvik Manna, Sourav Dhar, Akhil R. Chakravarty, Sarmistha Neogy and Santosh Podder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Lab on a Chip.

In The Last Decade

Nandini Mukherjee

128 papers receiving 969 citations

Peers

Nandini Mukherjee
Comparison fields: 5 of 114
  • Computer Networks and Communications 553
  • Information Systems 247
  • Electrical and Electronic Engineering 222
  • Biomedical Engineering 127
  • Computer Vision and Pattern Recognition 120
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Citations per field, relative to Nandini Mukherjee
Nandini Mukherjee · 1×
Citations per year, relative to Nandini Mukherjee
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Countries citing papers authored by Nandini Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Nandini Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandini Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Mukherjee. A scholar is included among the top collaborators of Nandini 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 Nandini Mukherjee. Nandini 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
# Work Indexed citations
1 1
2 1
3 0
4 9
5 14
6 2
7 23
8 5
9 1
10 4
11 4
12 2
13 27
14 2
15
Multiple Sink Placement in Partitioned Wireless Sensor Networks
3
16 2
17 36
18
A study on the application of existing load balancing algorithms for large, dynamic, heterogeneous distributed systems
12
19
Utilizing Jini Features to Implement a Multiagent Framework for Performance-based Resource Allocation in Grid Environment.
6
20
Pervasive Access To The Data Grid.
5

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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