Julius Τ. Tou

65 papers receiving 676 citations

Peers

Julius Τ. Tou
Comparison fields: 5 of 104
  • Control and Systems Engineering 237
  • Artificial Intelligence 190
  • Computer Vision and Pattern Recognition 148
  • Computational Theory and Mathematics 101
  • Electrical and Electronic Engineering 90
Replace Ewaryst Rafajłowicz with:
Ewaryst Rafajłowicz Poland
N.R. Malik United States
B. L. Deekshatulu India
Chan-Cheng Liu Taiwan
Benjamin C. Kuo United States
Sándor M. Veres United Kingdom
Henning Tolle Germany
Choi-Hong Lai United Kingdom
H.A. Spang United States
Liangping Tu China
Julius Τ. Tou relative to Ewaryst Rafajłowicz Poland Ewaryst Rafajłowicz's profile →
Citations per field
00.5×3.5×
Ewaryst Rafajłowicz · 1×
Citations per year

Countries citing papers authored by Julius Τ. Tou

Since Specialization
Citations

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

Fields of papers citing papers by Julius Τ. Tou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julius Τ. Tou. 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 Julius Τ. Tou. The network helps show where Julius Τ. Tou may publish in the future.

Co-authorship network of co-authors of Julius Τ. Tou

This figure shows the co-authorship network connecting the top 25 collaborators of Julius Τ. Tou. A scholar is included among the top collaborators of Julius Τ. Tou 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 Julius Τ. Tou. Julius Τ. Tou 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
Recognition of 3-D Objects Via Spatial Understanding of 2-D Images.
2
2 17
3 4
4 1
5 13
6
Solutions manual for Pattern recognition principles
1
7
Information Systems: COINS IV
5
8 44
9 9
10 10
11
Data structures in programming languages
3
12 3
13
PICTORIAL PATTERN RECOGNITION: AUTOMATIC INTERPRETATION AND CLASSIFICATION OF FINGERPRINTS.
1
14 1
15 2
16 5
17 3
18
Modern control theory
91
19
Digital and sampled-data control systems
106
20 0

About Julius Τ. Tou

Julius Τ. Tou is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 74 papers that have together received 757 indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (8 papers), Control Systems and Identification (8 papers) and Sensor Technology and Measurement Systems (7 papers). The work is most often cited by research in Control and Systems Engineering (237 citations), Computer Vision and Pattern Recognition (148 citations) and Computational Theory and Mathematics (101 citations). Julius Τ. Tou has collaborated with scholars based in United States, Philippines and South Korea. Frequent co-authors include Kuan-Yu Fu, James B. Lewis, P.M. Schultheiss, R. C. Gonzalez, H. Raymond Strong, Jean M. Lewis, Yu‐Ling Chang, Rafael C. González, Chien‐Ling Huang and Jens G. Balchen. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

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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2026