Masakazu Ejiri

460 total citations
30 papers, 314 citations indexed

About

Masakazu Ejiri is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology. According to data from OpenAlex, Masakazu Ejiri has authored 30 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Industrial and Manufacturing Engineering and 5 papers in Media Technology. Recurrent topics in Masakazu Ejiri's work include Industrial Vision Systems and Defect Detection (11 papers), Image and Object Detection Techniques (10 papers) and Digital Image Processing Techniques (8 papers). Masakazu Ejiri is often cited by papers focused on Industrial Vision Systems and Defect Detection (11 papers), Image and Object Detection Techniques (10 papers) and Digital Image Processing Techniques (8 papers). Masakazu Ejiri collaborates with scholars based in Japan, United States and United Kingdom. Masakazu Ejiri's co-authors include Takeshi Uno, William D. O’Neill, Hitoshi Matsushima, Takafumi Miyatake, Shigeru Shimada, Ramesh Jain, Yoshiki Kobayashi, P.A. Ruetz, Hiroshi Sako and Dragutin Petković and has published in prestigious journals such as Vision Research, IEEE Transactions on Computers and Robotics and Autonomous Systems.

In The Last Decade

Masakazu Ejiri

29 papers receiving 288 citations

Peers

Masakazu Ejiri
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 216
  • Industrial and Manufacturing Engineering 120
  • Media Technology 46
  • Aerospace Engineering 41
  • Electrical and Electronic Engineering 36
Replace John R. Birk with:
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John R. Birk United States View profile →
Citations per field, relative to Masakazu Ejiri
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Citations per year, relative to Masakazu Ejiri
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Countries citing papers authored by Masakazu Ejiri

Since Specialization
Citations

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

Fields of papers citing papers by Masakazu Ejiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masakazu Ejiri

This figure shows the co-authorship network connecting the top 25 collaborators of Masakazu Ejiri. A scholar is included among the top collaborators of Masakazu Ejiri 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 Masakazu Ejiri. Masakazu Ejiri 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
# Work Indexed citations
1
Evolution of Real-Time Image Processing in Practical Applications.
2
2 1
3 12
4 1
5
Image Complexity Analysis for Self-Tuning Pattern Regeneration in Open Environment Knowledge Projection.
2
6
Machine vision in the 1990s
1
7
GEOGRAPHICAL FEATURE ANALYSIS USING AN INTEGRATED GRAPHIC INFORMATION PROCESSING SYSTEM
2
8
Texture Discrimination Using an Adaptive Multiresolution Network Filter
2
9
Machine Vision: A Practical Technology for Advanced Image Processing
8
10
An Algorithm for Matching of Distorted Waveforms Using a Scale-Based Description.
7
11 5
12 14
13 6
14
An automatic position recognition technique for LSI assembly
14
15 36
16
Direction coding method and its application to scene analysis
6
17 3
18 85
19 37
20 1

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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