This map shows the geographic impact of Naoya Ohta'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 Naoya Ohta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Ohta more than expected).
This network shows the impact of papers produced by Naoya Ohta. 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 Naoya Ohta. The network helps show where Naoya Ohta may publish in the future.
Co-authorship network of co-authors of Naoya Ohta
This figure shows the co-authorship network connecting the top 25 collaborators of Naoya Ohta.
A scholar is included among the top collaborators of Naoya Ohta 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 Naoya Ohta. Naoya Ohta 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
1.
Ohta, Naoya, et al.. (2016). Image processing for color defectives by mapping the position on confusion lines to pixel blinking characteristics. IEICE Technical Report; IEICE Tech. Rep.. 115(491). 47–52.
Ito, Tadashi, Hitoshi Hoshino, Yusaku Fujii, & Naoya Ohta. (2009). Reconstruction of face image from security camera based on a measurement of space variant PSF. 2009 ICCAS-SICE. 2301–2304.2 indexed citations
Ohta, Naoya, et al.. (2006). How Much Does Color Information Help Optical Flow Computation?(Image Recognition, Computer Vision). IEICE Transactions on Information and Systems. 89(5). 1759–1762.
8.
Ohta, Naoya & Anthony Dick. (2005). Pedestrian Detection and Identification using Two Cameras. Machine Vision and Applications. 302–305.1 indexed citations
Ohta, Naoya, et al.. (1999). Image Mosaicing by Optimally Computed Homography. 1999(34). 9–16.2 indexed citations
12.
Kanatani, Kenichi & Naoya Ohta. (1999). Optimal Robot Self-Localization and Accurancy Bounds. IEICE Transactions on Information and Systems. 82(2). 447–452.2 indexed citations
13.
Ohta, Naoya, Kenichi Kanatani, & Kazuhiro Kimura. (1998). Moving object detection from optical flow without empirical thresholds. IEICE Transactions on Information and Systems. 81(2). 243–245.6 indexed citations
14.
Ohta, Naoya & Kenichi Kanatani. (1998). Optimal Estimation of Three - Dimensional Rotation and Reliability Evaluation. IEICE Transactions on Information and Systems. 81(11). 1247–1252.22 indexed citations
15.
Ohta, Naoya & Kenichi Kanatani. (1997). Optimal Estimation of 3-D Rotation and Reliability Evaluation. 97(325). 17–24.2 indexed citations
16.
Ohta, Naoya, et al.. (1996). Automatic Recognition of Regular Figures by Geometric AIC. IEICE Transactions on Information and Systems. 81(2). 246–248.5 indexed citations
17.
Ohta, Naoya. (1996). Uncertainty Models of the Gradient Constraint for Optical Flow Computation. IEICE Transactions on Information and Systems. 79(7). 958–964.5 indexed citations
18.
Ohta, Naoya. (1996). Optical Flow Detection Using a General Noise Model. IEICE Transactions on Information and Systems. 79(7). 951–957.10 indexed citations
19.
Ohta, Naoya & Kenichi Kanatani. (1995). Optimal Structure-from-Motion Algorithm for Optical Flow. IEICE Transactions on Information and Systems. 78(12). 1559–1566.7 indexed citations
20.
Ohta, Naoya. (1990). MOVEMENT VECTOR DETECTION WITH RELIABILITY INDICES. Machine Vision and Applications. 177–180.1 indexed citations
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.