Keisuke Tanaka
About
In The Last Decade
Keisuke Tanaka
96 papers receiving 860 citations
Peers
Comparison fields: 5 of 87
- Materials Chemistry 280
- Organic Chemistry 160
- Artificial Intelligence 135
- Computer Vision and Pattern Recognition 133
- Catalysis 124
Countries citing papers authored by Keisuke Tanaka
This map shows the geographic impact of Keisuke Tanaka'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 Keisuke Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Tanaka more than expected).
Fields of papers citing papers by Keisuke Tanaka
This network shows the impact of papers produced by Keisuke Tanaka. 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 Keisuke Tanaka. The network helps show where Keisuke Tanaka may publish in the future.
Co-authorship network of co-authors of Keisuke Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Tanaka. A scholar is included among the top collaborators of Keisuke Tanaka 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 Keisuke Tanaka. Keisuke Tanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | Simulation-based Receiver Selective Opening CCA Secure PKE from Standard Computational Assumptions(from SCN 2018) | 1 |
| 7 | Characteristics Analysis of Polarization Splitter with Two Cores and Pits -- Influence on Bandwidth due to Deviation of Structure Parameters | 0 |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | Proxy Re-Encryption based on Learning with Errors (Mathematical Foundation of Algorithms and Computer Science) | 3 |
| 13 | GPS Signal Tracking on Spinning Vehicles with Antenna Diversity Techniques | 1 |
| 14 | 8 | |
| 15 | VIDEO WATERMARK FOR DETECTING ALTERATION ON SPATIAL DOMAIN | 2 |
| 16 | Density Attack to the Knapsack Cryptosystems with Enumerative Source Encoding | 6 |
| 17 | Single Machine Scheduling to Minimize the Maximum Lateness with Both Specific and Generalized Due Dates | 10 |
| 18 | Single Machine Scheduling to Minimize the Maximum Lateness with Both Specific and Generalized Due Dates (Special Section of Selected Papers from the 9th Karuizawa Workshop on Circuits and Systems) | 5 |
| 19 | A Relationship between the Number of Negations and the Circuit Size | 1 |
| 20 | 4 |
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.