Rakesh Ranjan

1.2k citations
51 papers · 490 indexed · 2 hit papers · h-index 10
Topics
Reservoir Engineering and Simulation Methods (6 papers)Industrial Vision Systems and Defect Detection (6 papers)Advanced Vision and Imaging (5 papers)

In The Last Decade

Rakesh Ranjan

43 papers receiving 468 citations

Hit Papers

Efficient and Explicit Modelling of Image Hierarchies for...2023202620242025202320244080120

Peers

Rakesh Ranjan
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 262
  • Media Technology 115
  • Mechanical Engineering 63
  • Industrial and Manufacturing Engineering 42
  • Computational Mechanics 41
Replace Fanhuai Shi with:
Fanhuai Shi China
Thomas Längle Germany
Rui Qian China
Kaixuan Wang China
Zehui Chen China
Guoxiong Hu China
Boris X. Vintimilla Ecuador
Zhi-Kai Huang China
Yuchi Huo China
Lorenzo Cozzella Italy
Rakesh Ranjan relative to Fanhuai Shi China Fanhuai Shi's profile →
Citations per field
00.5×5.6×
Fanhuai Shi · 1×
Citations per year

Countries citing papers authored by Rakesh Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Ranjan. A scholar is included among the top collaborators of Rakesh Ranjan 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 Rakesh Ranjan. Rakesh Ranjan 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 1
2 0
3 5
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5 5
6 1
7 14
8 3
9 1
10 22
11 3
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Efficient and Explicit Modelling of Image Hierarchies for Image Restorationbreakdown →
143
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14 6
15 1
16 4
17
Levels of certain minerals in blood of cattle naturally infected with Theileria annulata
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18 1
19 13
20 25

About Rakesh Ranjan

Rakesh Ranjan is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 490 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Media Technology (115 citations), Computer Vision and Pattern Recognition (262 citations) and Computer Graphics and Computer-Aided Design (15 citations). Rakesh Ranjan has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Luc Van Gool, Radu Timofte, Yawei Li, Yuchen Fan, Denis Demandolx, Xiaoyu Xiang, Kai Zhang, Jingyun Liang, Joseph Irudayaraj and Jiezhang Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Production Research.

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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