Tomohiro Nakai

415 total citations
20 papers, 225 citations indexed

About

Tomohiro Nakai is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Tomohiro Nakai has authored 20 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 2 papers in Mechanics of Materials. Recurrent topics in Tomohiro Nakai's work include Advanced Image and Video Retrieval Techniques (7 papers), Handwritten Text Recognition Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). Tomohiro Nakai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Handwritten Text Recognition Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). Tomohiro Nakai collaborates with scholars based in Japan and France. Tomohiro Nakai's co-authors include Yoshiyuki Satō, Koichi Kise, Masakazu Iwamura, Jean‐Jacques Delaunay, Masaki Shuzo, Ichiro Yamada, Seiichi Uchida, Shinichiro Omachi, Satoshi Takayama and Keinosuke Matsumoto and has published in prestigious journals such as Wear, Journal of Micromechanics and Microengineering and IEEE Transactions on Semiconductor Manufacturing.

In The Last Decade

Tomohiro Nakai

18 papers receiving 214 citations

Peers

Tomohiro Nakai
Comparison fields: 5 of 52
  • Industrial and Manufacturing Engineering 89
  • Computer Vision and Pattern Recognition 73
  • Electrical and Electronic Engineering 54
  • Biomedical Engineering 50
  • Mechanical Engineering 29
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Citations per field, relative to Tomohiro Nakai
Tomohiro Nakai · 1×
Citations per year, relative to Tomohiro Nakai
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Countries citing papers authored by Tomohiro Nakai

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Nakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Nakai

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Nakai. A scholar is included among the top collaborators of Tomohiro Nakai 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 Tomohiro Nakai. Tomohiro Nakai 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 84
2 32
3 0
4 6
5
Document-Level positioning of a pen tip by retrieval of image fragments
4
6 14
7 33
8
Camera Based Document Image Retrieval with More Time and Memory Efficient LLAH
15
9
MICROFABRICATED SEMI-PACKED GAS CHROMATOGRAPHY COLUMN WITH FUNCTIONALIZED PARYLENE AS THE STATIONARY PHASE
1
10 5
11 5
12 3
13
A Method of Annotation Extraction from Documents Using Alignment Based on Local Arrangements of Feature Points
0
14
Experimental Investigation of Relation Between Near Neighbor Search Methods for Feature Vectors and Efficiency of Object Recognition
1
15
On Accuracy and Speed of Object Recognition Based on Local Arrangements of Feature Points
1
16
Fast Camera-Based Document Image Retrieval Using Local Arrangements of Feature Points
1
17 4
18 9
19 6
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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