Mitsuhiko Toda
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Information Systems top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Kozo SugiyamaShojiro TagawaRajni V. PatelTamotsu KusanoSatoshi ChibaAkira MoriShohei MatsumotoTetsuya Ogata
- Topics
- Amphibian and Reptile Biology (4 papers)Insect and Arachnid Ecology and Behavior (3 papers)Species Distribution and Climate Change (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
In The Last Decade
Mitsuhiko Toda
16 papers receiving 720 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 417
- Artificial Intelligence 143
- Signal Processing 136
- Information Systems 112
- Computer Graphics and Computer-Aided Design 112
Countries citing papers authored by Mitsuhiko Toda
This map shows the geographic impact of Mitsuhiko Toda'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 Mitsuhiko Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiko Toda more than expected).
Fields of papers citing papers by Mitsuhiko Toda
This network shows the impact of papers produced by Mitsuhiko Toda. 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 Mitsuhiko Toda. The network helps show where Mitsuhiko Toda may publish in the future.
Co-authorship network of co-authors of Mitsuhiko Toda
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiko Toda. A scholar is included among the top collaborators of Mitsuhiko Toda 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 Mitsuhiko Toda. Mitsuhiko Toda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 20 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | Lying in Ambush for Nocturnal Frogs: Field Observations on the Feeding Behavior of Three Colubrid Snakes, Elaphe quadrivirgata, E. climacophora , and Rhabdophis tigrinus @@@夜行性のカエルに対する待ち伏せ行動 | 8 |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 51 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | Methods for Visual Understanding of Hierarchical System Structuresbreakdown → | 653 |
| 15 | 16 | |
| 16 | 21 |
About Mitsuhiko Toda
Mitsuhiko Toda is a scholar working on Ecological Modeling, Parasitology and Global and Planetary Change, having authored 16 papers that have together received 812 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (4 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (112 citations), Computer Vision and Pattern Recognition (417 citations) and Signal Processing (136 citations). Mitsuhiko Toda has collaborated with scholars based in Japan and Canada. Frequent co-authors include Kozo Sugiyama, Shojiro Tagawa, Rajni V. Patel, Tamotsu Kusano, Satoshi Chiba, Akira Mori, Shohei Matsumoto, Tetsuya Ogata, Hiroshi G. Okuno and Kazunori Komatani. Their work appears in journals such as Decision Support Systems, IEEE Transactions on Aerospace and Electronic Systems and Behavioral Ecology and Sociobiology.
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.