H. Murakami
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Co-authors
- Masahiro WadaYasuhiro TakishimaH. YamamotoYuta HatoriShuichi MatsumotoH HashimotoHiroyuki SakakibaraDean Wu
- Topics
- Advanced Data Compression Techniques (8 papers)Advanced Wireless Communication Techniques (7 papers)Algorithms and Data Compression (4 papers)
In The Last Decade
H. Murakami
17 papers receiving 286 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 142
- Electrical and Electronic Engineering 133
- Computer Networks and Communications 126
- Signal Processing 105
Countries citing papers authored by H. Murakami
This map shows the geographic impact of H. Murakami'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 H. Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Murakami more than expected).
Fields of papers citing papers by H. Murakami
This network shows the impact of papers produced by H. Murakami. 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 H. Murakami. The network helps show where H. Murakami may publish in the future.
Co-authorship network of co-authors of H. Murakami
This figure shows the co-authorship network connecting the top 25 collaborators of H. Murakami. A scholar is included among the top collaborators of H. Murakami 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 H. Murakami. H. Murakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | A Method for High Precision Enlargement of Pictures taken by Cellular Phone on Personal Computer | 2 |
| 8 | 179 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | A 15 Mbit/s universal codec for TV signals using a median adaptive prediction coding method | 4 |
| 17 | 19 | |
| 18 | 19 |
About H. Murakami
H. Murakami is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (8 papers), Advanced Wireless Communication Techniques (7 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Signal Processing (105 citations), Computer Vision and Pattern Recognition (156 citations) and Computer Networks and Communications (126 citations). H. Murakami has collaborated with scholars based in Japan and Italy. Frequent co-authors include Masahiro Wada, Yasuhiro Takishima, H. Yamamoto, Yuta Hatori, Shuichi Matsumoto, H Hashimoto, Hiroyuki Sakakibara, Dean Wu, Masayoshi Ohashi and Shuji Kawasaki. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Communications and Natural Hazards.
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.