Kiran Raja

4.7k citations
170 papers · 2.4k indexed · h-index 28
Topics
Biometric Identification and Security (88 papers)Face recognition and analysis (69 papers)Face and Expression Recognition (34 papers)
Partner nations
NorwayIndiaGermany

In The Last Decade

Kiran Raja

154 papers receiving 2.3k citations

Peers

Kiran Raja
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.7k
  • Signal Processing 1.1k
  • Artificial Intelligence 314
  • Information Systems 300
  • Media Technology 177
Replace Damon L. Woodard with:
Damon L. Woodard United States
Karl Ricanek United States
Brendan Klare United States
Liming Chen France
Shouhong Ding China
Peter Peer Slovenia
Raghavendra Ramachandra Norway
Kai Cao China
Jianjiang Feng China
Eric Sung Singapore
Kiran Raja relative to Damon L. Woodard United States Damon L. Woodard's profile →
Citations per field
00.5×3.7×
Damon L. Woodard · 1×
Citations per year

Countries citing papers authored by Kiran Raja

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Raja

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Raja. A scholar is included among the top collaborators of Kiran Raja 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 Kiran Raja. Kiran Raja 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 2
2 1
3 1
4 2
5 2
6 2
7 10
8 0
9 2
10 0
11 16
12 5
13 0
14 7
15 32
16 130
17
Dynamic scale selected Laplacian decomposed frequency response for cross-smartphone periocular verification in visible spectrum
4
18
Fusion of face and periocular information for improved authentication on smartphones
9
19
Cluster Based Performance Analysis of Pet Scan Image for Alzheimer's Disease
0
20
High security human recognition system using iris images
8

About Kiran Raja

Kiran Raja is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 170 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (88 papers), Face recognition and analysis (69 papers) and Face and Expression Recognition (34 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (1.7k citations) and Media Technology (177 citations). Kiran Raja has collaborated with scholars based in Norway, India and Germany. Frequent co-authors include Raghavendra Ramachandra, Christoph Busch, Sushma Venkatesh, Naser Damer, Pankaj Wasnik, Bian Yang, Marius Pedersen, Xianbao Wang, Sanjeev K. Manohar and Xiaobo Zhang. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

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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