Raja Bala

1.3k citations
63 papers · 876 indexed · h-index 13

Impact in

Papers in

Raja Bala

54 papers receiving 822 citations

Peers

Raja Bala
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 637
  • Computer Graphics and Computer-Aided Design 58
  • Media Technology 137
  • Human-Computer Interaction 48
  • Atomic and Molecular Physics, and Optics 185
Replace Yasuhiro Mukaigawa with:
Yasuhiro Mukaigawa Japan
Suk‐Ju Kang South Korea
Yongwei Nie China
Takuya Funatomi Japan
Hae‐Gon Jeon South Korea
Seungkyu Lee South Korea
P. Anandan United States
Dennis F. Dunn United States
Hak Gu Kim South Korea
Hanli Zhao China
Raja Bala relative to Yasuhiro Mukaigawa Japan Yasuhiro Mukaigawa's profile →
Citations per field
00.5×2.6×
Yasuhiro Mukaigawa · 1×
Citations per year

Countries citing papers authored by Raja Bala

Since Specialization
Citations

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

Fields of papers citing papers by Raja Bala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Raja Bala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raja Bala Line = papers co-authored together Raja Bala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2 201747
3
Gamut Mapping to Preserve Spatial Luminance Variations
20150
4
Dynamic Patch Optimization for Color Printer Characterization.
20111
5 20118
6 20110
7 20104
8 20095
9 20090
10 20091
11 20082
12 20070
13 20065
14 20065
15 20052
16 20052
17 20041
18 20022
19
What is the Chrominance of "Gray"?
20013
20 200140

About Raja Bala

Raja Bala is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering, Atomic and Molecular Physics, and Optics and Media Technology, having authored 63 papers that have together received 876 indexed citations. Recurring topics across this work include Color Science and Applications (30 papers), Image Enhancement Techniques (13 papers), Industrial Vision Systems and Defect Detection (10 papers), Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Computer Graphics and Visualization Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (637 citations), Computer Graphics and Computer-Aided Design (58 citations), Media Technology (137 citations), Human-Computer Interaction (48 citations) and Atomic and Molecular Physics, and Optics (185 citations). Raja Bala has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Reiner Eschbach, Vishal Monga, Edo Collins, Sabine Süsstrunk, Bob Price, Karen M. Braun, Edgar A. Bernal, Zhigang Fan, Wencheng Wu and Venkateswararao Cherukuri. Their work appears in journals such as IEEE Transactions on Image Processing, Color Research & Application, IEEE Signal Processing Magazine, Journal of Imaging Science and Technology and IEEE Transactions on Multimedia.

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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