Naoki Fukuta

627 citations
74 papers · 325 indexed · h-index 10
Topics
Auction Theory and Applications (22 papers)Semantic Web and Ontologies (21 papers)Consumer Market Behavior and Pricing (18 papers)

In The Last Decade

Naoki Fukuta

61 papers receiving 315 citations

Peers

Naoki Fukuta
Comparison fields: 5 of 42
  • Management Science and Operations Research 162
  • Artificial Intelligence 112
  • Computer Networks and Communications 109
  • Marketing 93
  • Electrical and Electronic Engineering 70
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Countries citing papers authored by Naoki Fukuta

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Fukuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Fukuta

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Fukuta. A scholar is included among the top collaborators of Naoki Fukuta 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 Naoki Fukuta. Naoki Fukuta 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
#WorkIndexed citations
1 0
2 2
3
Preliminary Analysis on Smart Traffic Control Using Multi-Agent Learning
1
4
Preliminary analysis of path planning and environmental recognition for autonomous car parking
1
5 2
6 0
7 0
8 3
9 3
10
Approximating inference-enabled federated SPARQL queries on multiple endpoints
3
11 1
12 0
13 2
14
An Approach to Sustainable Electric Power Allocation Using a Multi-Round Multi-Unit Combinatorial Auction
1
15
SPARQLoid - A querying system using own ontology and ontology mappings with reliability
6
16 9
17 3
18 11
19 5
20
Cooperative bidding mechanisms among agents in multiple online auctions
2

About Naoki Fukuta

Naoki Fukuta is a scholar working on Management Science and Operations Research, Marketing and Artificial Intelligence, having authored 74 papers that have together received 325 indexed citations. Recurring topics across this work include Auction Theory and Applications (22 papers), Semantic Web and Ontologies (21 papers) and Consumer Market Behavior and Pricing (18 papers). The work is most often cited by research in Management Science and Operations Research (162 citations), Marketing (93 citations) and Computer Networks and Communications (109 citations). Naoki Fukuta has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takayuki Itō, Toramatsu Shintani, Katia Sycara, Quan Bai, Noriaki Izumi, Katsuhide Fujita, T. Yamaguchi, Takeshi Morita, Takanobu Otsuka and Masaharu Hirota. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and IEICE Transactions on Information and Systems.

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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