Dipti Patra

1.4k citations
89 papers · 989 indexed · h-index 15
Topics
Advanced Vision and Imaging (23 papers)Advanced Image Processing Techniques (20 papers)Medical Image Segmentation Techniques (14 papers)
Journals
SHILAP Revista de lepidopterologíaAstronomy and AstrophysicsNeurocomputing

In The Last Decade

Dipti Patra

80 papers receiving 920 citations

Peers

Dipti Patra
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 684
  • Artificial Intelligence 384
  • Biophysics 184
  • Radiology, Nuclear Medicine and Imaging 151
  • Media Technology 146
Replace Vijayshri Chaurasia with:
Vijayshri Chaurasia India
Qin Li China
Chung‐Ming Wu Taiwan
Habibollah Danyali Iran
Fangfang Chen China
C. Collet France
Raúl Guerra Spain
Shengdong Nie China
E. A. Zanaty Egypt
Dipti Patra relative to Vijayshri Chaurasia India Vijayshri Chaurasia's profile →
Citations per field
00.5×6.8×
Vijayshri Chaurasia · 1×
Citations per year

Countries citing papers authored by Dipti Patra

Since Specialization
Citations

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

Fields of papers citing papers by Dipti Patra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipti Patra

This figure shows the co-authorship network connecting the top 25 collaborators of Dipti Patra. A scholar is included among the top collaborators of Dipti Patra 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 Dipti Patra. Dipti Patra 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
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Integration of Fcm, Pca and neural networks for classification of Ecg arrhythmias
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19 48
20 57

About Dipti Patra

Dipti Patra is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 89 papers that have together received 989 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Advanced Image Processing Techniques (20 papers) and Medical Image Segmentation Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (684 citations), Biophysics (184 citations) and Media Technology (146 citations). Dipti Patra has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Subrajeet Mohapatra, Sanghamitra Satpathi, Manab Kumar Das, Bidyadhar Subudhi, Sunil Kumar, Manoj Kumar Mishra, Pradipta Kumar Nanda, Bunil Kumar Balabantaray, Ganapati Panda and Dinesh Kumar Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Astronomy and Astrophysics and Neurocomputing.

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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