Akira Tajima

36 total papers · 684 total citations
23 papers, 397 citations indexed

About

Akira Tajima is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Akira Tajima has authored 23 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Akira Tajima's work include Web Data Mining and Analysis (7 papers), Recommender Systems and Techniques (4 papers) and Expert finding and Q&A systems (4 papers). Akira Tajima is often cited by papers focused on Web Data Mining and Analysis (7 papers), Recommender Systems and Techniques (4 papers) and Expert finding and Q&A systems (4 papers). Akira Tajima collaborates with scholars based in Japan and United States. Akira Tajima's co-authors include Yukihiro Tagami, Shingo Ono, Koji Tsukamoto, Takatoshi Shindo, Mikihisa Saito, Hideki Motoyama, Hiroshi Taguchi, Masaru Ishii, Shu Tezuka and Hayato Kobayashi and has published in prestigious journals such as IEICE Transactions on Information and Systems, Data Science and Engineering and Journal of the Operations Research Society of Japan.

In The Last Decade

Akira Tajima

19 papers receiving 359 citations

Hit Papers

Embedding-based News Reco... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Akira Tajima 285 237 89 41 35 23 397
Shingo Ono 313 1.1× 310 1.3× 90 1.0× 90 2.2× 37 1.1× 15 429
Weihua Yuan 149 0.5× 154 0.6× 51 0.6× 36 0.9× 29 0.8× 29 379
Yukihiro Tagami 307 1.1× 307 1.3× 108 1.2× 38 0.9× 35 1.0× 15 416
Dawei Yin 204 0.7× 232 1.0× 95 1.1× 33 0.8× 41 1.2× 17 409
Antonio Hernando 268 0.9× 139 0.6× 85 1.0× 52 1.3× 37 1.1× 14 370
Chedy Raïssi 164 0.6× 187 0.8× 23 0.3× 23 0.6× 76 2.2× 29 362
Jiarui Qin 189 0.7× 219 0.9× 77 0.9× 42 1.0× 35 1.0× 26 348
Xiaofei Liu 190 0.7× 284 1.2× 67 0.8× 37 0.9× 30 0.9× 18 437
Xuezhi Cao 236 0.8× 296 1.2× 81 0.9× 70 1.7× 39 1.1× 21 402
Elliotte Rusty Harold 112 0.4× 127 0.5× 26 0.3× 27 0.7× 135 3.9× 18 433

Countries citing papers authored by Akira Tajima

Since Specialization
Citations

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

Fields of papers citing papers by Akira Tajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Tajima

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Tajima. A scholar is included among the top collaborators of Akira Tajima 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 Tajima. Akira Tajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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