Danda Pani Paudel

57 papers receiving 902 citations

Hit Papers

Transforming Model Prediction for Tracking2022202620232024202250100150200250

Peers

Danda Pani Paudel
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 742
  • Aerospace Engineering 289
  • Artificial Intelligence 190
  • Safety, Risk, Reliability and Quality 73
  • Electrical and Electronic Engineering 61
Replace Xingyu Zeng with:
Xingyu Zeng Hong Kong
Senthil Yogamani France
David Gerónimo Spain
Jérôme Berclaz Switzerland
Daniel Ponsa Spain
Michael D. Breitenstein Switzerland
Andreas Wedel Germany
Shilong Liu China
Pengfei Xu China
Danda Pani Paudel relative to Xingyu Zeng Hong Kong Xingyu Zeng's profile →
Citations per field
00.5×3.2×
Xingyu Zeng · 1×
Citations per year

Countries citing papers authored by Danda Pani Paudel

Since Specialization
Citations

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

Fields of papers citing papers by Danda Pani Paudel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danda Pani Paudel. 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 Danda Pani Paudel. The network helps show where Danda Pani Paudel may publish in the future.

Co-authorship network of co-authors of Danda Pani Paudel

This figure shows the co-authorship network connecting the top 25 collaborators of Danda Pani Paudel. A scholar is included among the top collaborators of Danda Pani Paudel 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 Danda Pani Paudel. Danda Pani Paudel 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 0
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5 4
6 11
7 3
8 0
9 1
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12 23
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Transforming Model Prediction for Trackingbreakdown →
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14 31
15 19
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Efficient conditional GAN transfer with knowledge propagation across classes
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Soft Contrastive Learning for Visual Localization
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18 27
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Image-based Navigation using Visual Features and Map.
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20 1

About Danda Pani Paudel

Danda Pani Paudel is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 62 papers that have together received 917 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (21 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (742 citations), Aerospace Engineering (289 citations) and Safety, Risk, Reliability and Quality (73 citations). Danda Pani Paudel has collaborated with scholars based in Switzerland, Belgium and France. Frequent co-authors include Luc Van Gool, Martin Danelljan, Fisher Yu, Goutam Bhat, Matthieu Paul, Christoph Mayer, Cédric Demonceaux, Zhiwu Huang, Changhong Fu and Ajad Chhatkuli. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Instrumentation and Measurement.

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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