Akira Koseki

558 total citations
25 papers, 334 citations indexed

About

Akira Koseki is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Akira Koseki has authored 25 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 11 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Akira Koseki's work include Parallel Computing and Optimization Techniques (10 papers), Machine Learning in Healthcare (5 papers) and Logic, programming, and type systems (5 papers). Akira Koseki is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Machine Learning in Healthcare (5 papers) and Logic, programming, and type systems (5 papers). Akira Koseki collaborates with scholars based in Japan, United States and Ireland. Akira Koseki's co-authors include Tamiya Onodera, Kiyokuni Kawachiya, Michiharu Kudo, Yukio Yuzawa, Masaki Makino, Atsushi Suzuki, Jun Kuroda, Masaki Ono, Toshinari Itoko and Kiyotaka Hoshinaga and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Akira Koseki

23 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akira Koseki Japan 8 131 118 99 84 55 25 334
Mads Ruben Burgdorff Kristensen Denmark 5 166 1.3× 58 0.5× 49 0.5× 36 0.4× 3 0.1× 11 348
Leandro Dias da Silva Brazil 9 88 0.7× 8 0.1× 25 0.3× 79 0.9× 18 0.3× 50 312
Inês Dutra Portugal 10 158 1.2× 65 0.6× 111 1.1× 27 0.3× 1 0.0× 64 388
M. Tadel United States 7 53 0.4× 12 0.1× 59 0.6× 51 0.6× 3 0.1× 23 263
Martin Köhn United States 11 69 0.5× 20 0.2× 157 1.6× 44 0.5× 1 0.0× 29 404
Yong‐Yeon Jo South Korea 10 57 0.4× 28 0.2× 37 0.4× 21 0.3× 2 0.0× 32 244
Álvaro Sobrinho Brazil 8 97 0.7× 3 0.0× 25 0.3× 83 1.0× 18 0.3× 37 264
Namyong Park United States 10 141 1.1× 29 0.2× 25 0.3× 11 0.1× 24 0.4× 22 257
Zlatko Zlatev United Kingdom 7 70 0.5× 22 0.2× 100 1.0× 22 0.3× 1 0.0× 25 249
Alexandros C. Dimopoulos Greece 10 44 0.3× 9 0.1× 16 0.2× 51 0.6× 2 0.0× 25 343

Countries citing papers authored by Akira Koseki

Since Specialization
Citations

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

Fields of papers citing papers by Akira Koseki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Koseki

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Koseki. A scholar is included among the top collaborators of Akira Koseki 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 Akira Koseki. Akira Koseki 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.
Kartoun, Uri, Akira Koseki, Eileen Koski, et al.. (2024). Investigating the impact of steroid dependence on gastrointestinal surgical outcomes from UK Biobank. Scientific Reports. 14(1). 29243–29243. 1 indexed citations
2.
3.
Okamoto, Naoki, Daijo Inaguma, Hiroki Hayashi, et al.. (2022). Prescription rate of erythropoietin-stimulating agents is low for patients with renal impairment under non-nephrology care in a tertiary-level academic medical center in Japan. Clinical and Experimental Nephrology. 26(7). 678–687. 1 indexed citations
4.
5.
Makino, Masaki, Ryo Yoshimoto, Masaki Ono, et al.. (2019). Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Scientific Reports. 9(1). 11862–11862. 142 indexed citations
6.
Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder.. National Conference on Artificial Intelligence. 451–454. 2 indexed citations
7.
Makino, Masaki, Masaki Ono, Toshinari Itoko, et al.. (2018). Artificial Intelligence Predicts Progress of Diabetic Kidney Disease-Novel Prediction Model Construction with Big Data Machine Learning. Diabetes. 67(Supplement_1). 5 indexed citations
8.
Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder. Studies in health technology and informatics. 247. 106–110. 13 indexed citations
9.
Suganuma, Toshio, Akira Koseki, Kazuaki Ishizaki, et al.. (2011). Distributed and fault-tolerant execution framework for transaction processing. 1–12. 2 indexed citations
10.
Ishizaki, Kazuaki, Toshio Suganuma, Daniel Castro Silva, et al.. (2010). Parallel programming framework for large batch transaction processing on scale-out systems. 1–14. 1 indexed citations
11.
Suganuma, Toshio, Takeshi Ogasawara, Kiyokuni Kawachiya, et al.. (2004). Evolution of a Java just-in-time compiler for IA-32 platforms. IBM Journal of Research and Development. 48(5.6). 767–795. 16 indexed citations
12.
Koseki, Akira, Hideaki Komatsu, & Toshio Nakatani. (2003). Spill code minimization by spill code motion. International Conference on Parallel Architectures and Compilation Techniques. 125–134. 2 indexed citations
13.
Ishizaki, Kazuaki, Mikio Takeuchi, Kiyokuni Kawachiya, et al.. (2003). Effectiveness of cross-platform optimizations for a java just-in-time compiler. ACM SIGPLAN Notices. 38(11). 187–204. 9 indexed citations
14.
Ishizaki, Kazuaki, Mikio Takeuchi, Kiyokuni Kawachiya, et al.. (2003). Effectiveness of cross-platform optimizations for a java just-in-time compiler. 187–204. 27 indexed citations
15.
Koseki, Akira, H. Komatsu, & Yoshiaki Fukazawa. (2002). A global code scheduling technique using guarded PDG. 2. 661–669.
16.
Koseki, Akira, Hideaki Komatsu, & Toshio Nakatani. (2002). Preference-directed graph coloring. 33–44. 10 indexed citations
17.
Kawachiya, Kiyokuni, Akira Koseki, & Tamiya Onodera. (2002). Lock reservation. 130–130. 58 indexed citations
18.
Koseki, Akira, et al.. (2002). A method for estimating optimal unrolling times for nested loops. 376–382. 7 indexed citations
19.
Kondo, Kenji, et al.. (2001). [Effect of macrolide therapy on microbes in nasal cavity and larynx of patients with chronic paranasal sinusitis].. PubMed. 54 Suppl C. 102–5. 1 indexed citations
20.
Koseki, Akira, Hideaki Komatsu, & Yoshiaki Fukazawa. (1996). A register allocation technique using guarded PDG. 270–277.

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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