Prabhjot Kaur

563 citations
48 papers · 294 indexed · h-index 11
Topics
Imbalanced Data Classification Techniques (11 papers)Electricity Theft Detection Techniques (7 papers)Medical Image Segmentation Techniques (5 papers)

In The Last Decade

Prabhjot Kaur

42 papers receiving 280 citations

Peers

Prabhjot Kaur
Comparison fields: 5 of 78
  • Artificial Intelligence 153
  • Electrical and Electronic Engineering 52
  • Computer Vision and Pattern Recognition 50
  • Information Systems 41
  • Control and Systems Engineering 37
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Countries citing papers authored by Prabhjot Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Prabhjot Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhjot Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhjot Kaur. A scholar is included among the top collaborators of Prabhjot Kaur 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 Prabhjot Kaur. Prabhjot Kaur 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 0
3 1
4 1
5 8
6 5
7 3
8 0
9 2
10 1
11 24
12
Spam detection on Twitter: A survey
13
13
Techniques based upon boosting to counter class imbalance problem — A survey
5
14
Platelet count using image processing
10
15
Mammogram Image Nucleus Segmentation and Classification using Convolution Neural Network Classifier
2
16 15
17 2
18 1
19
An Optimized Approach for Feature Selection using Membrane Computing to Classify Web Pages
2
20 14

About Prabhjot Kaur

Prabhjot Kaur is a scholar working on Media Technology, Health Information Management and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 294 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (11 papers), Electricity Theft Detection Techniques (7 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Health Information Management (25 citations), Artificial Intelligence (153 citations) and Computer Vision and Pattern Recognition (50 citations). Prabhjot Kaur has collaborated with scholars based in India, United Kingdom and Austria. Frequent co-authors include Anjana Gosain, Kalpana Dahiya, Pallavi Gupta, Kamlesh J. Upadhyay, Poonam Sharma, Anuj Sharma, Jasleen Kaur, Anil Kumar Soni, Suyash Kumar and Vishakha Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and Pattern Recognition Letters.

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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