Anamika Dhillon

1.2k citations
2 papers · 790 indexed · 1 hit paper · h-index 2
Topics
Advanced Image and Video Retrieval Techniques (1 paper)Advanced Optical Sensing Technologies (1 paper)Anomaly Detection Techniques and Applications (1 paper)
Partner nations
India

In The Last Decade

Anamika Dhillon

2 papers receiving 754 citations

Hit Papers

Convolutional neural network: a review of models, methodo...20192026202120232019200400600

Peers

Anamika Dhillon
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 273
  • Artificial Intelligence 223
  • Biomedical Engineering 96
  • Radiology, Nuclear Medicine and Imaging 84
  • Electrical and Electronic Engineering 58
Replace Hong Zhou with:
Hong Zhou China
Raul Victor M. da Nóbrega Brazil
Stamatios Georgoulis Switzerland
Claudia Loy United Kingdom
Dermot Kerr United Kingdom
Ganbayar Batchuluun South Korea
Snehasis Mukherjee India
Zhongchao Shi China
S. H. Shabbeer Basha India
Anamika Dhillon relative to Hong Zhou China Hong Zhou's profile →
Citations per field
00.5×3.5×
Hong Zhou · 1×
Citations per year

Countries citing papers authored by Anamika Dhillon

Since Specialization
Citations

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

Fields of papers citing papers by Anamika Dhillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anamika Dhillon

This figure shows the co-authorship network connecting the top 25 collaborators of Anamika Dhillon. A scholar is included among the top collaborators of Anamika Dhillon 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 Anamika Dhillon. Anamika Dhillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Convolutional neural network: a review of models, methodologies and applications to object detectionbreakdown →
722
2 68

About Anamika Dhillon

Anamika Dhillon is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 2 papers that have together received 790 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Advanced Optical Sensing Technologies (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Health Informatics (11 citations) and Artificial Intelligence (223 citations). Anamika Dhillon has collaborated with scholars based in India. Frequent co-authors include Gyanendra K. Verma. Their work appears in journals such as Progress in Artificial Intelligence.

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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