Atsuyuki Morishima

789 total citations
72 papers, 444 citations indexed

About

Atsuyuki Morishima is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Atsuyuki Morishima has authored 72 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 30 papers in Computer Science Applications and 22 papers in Computer Networks and Communications. Recurrent topics in Atsuyuki Morishima's work include Mobile Crowdsensing and Crowdsourcing (30 papers), Advanced Database Systems and Queries (18 papers) and Data Stream Mining Techniques (13 papers). Atsuyuki Morishima is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (30 papers), Advanced Database Systems and Queries (18 papers) and Data Stream Mining Techniques (13 papers). Atsuyuki Morishima collaborates with scholars based in Japan, United States and France. Atsuyuki Morishima's co-authors include Dan Suciu, Mary Fernández, Wang-Chiew Tan, Hiroyuki Kitagawa, Jun Nakura, Wang Chiew Tan, Masaki Kobayashi, Sihem Amer-Yahia, K. Kohara and Senjuti Basu Roy and has published in prestigious journals such as Cellular and Molecular Life Sciences, Experimental Gerontology and Proceedings of the VLDB Endowment.

In The Last Decade

Atsuyuki Morishima

61 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atsuyuki Morishima Japan	10	244	233	137	99	79	72	444
Davide Martinenghi Italy	13	153 0.6×	200 0.9×	210 1.5×	67 0.7×	151 1.9×	50	434
Daniele Dell’Aglio Switzerland	10	197 0.8×	124 0.5×	95 0.7×	27 0.3×	63 0.8×	34	320
Tyler McDonnell United States	9	212 0.9×	92 0.4×	135 1.0×	99 1.0×	259 3.3×	10	464
Suzanne W. Dietrich United States	13	220 0.9×	238 1.0×	54 0.4×	101 1.0×	196 2.5×	71	532
Giovanna Guerrini Italy	14	401 1.6×	355 1.5×	220 1.6×	23 0.2×	252 3.2×	97	703
Ana Carolina Salgado Brazil	13	179 0.7×	188 0.8×	107 0.8×	21 0.2×	157 2.0×	75	423
Ilya Zaihrayeu Italy	7	221 0.9×	213 0.9×	50 0.4×	15 0.2×	123 1.6×	23	355
Stefano Montanelli Italy	13	305 1.3×	166 0.7×	36 0.3×	23 0.2×	216 2.7×	64	427
L. Venkata Subramaniam India	15	460 1.9×	84 0.4×	68 0.5×	22 0.2×	226 2.9×	60	711

Countries citing papers authored by Atsuyuki Morishima

Since Specialization

Citations

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

Fields of papers citing papers by Atsuyuki Morishima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuyuki Morishima

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

All Works

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20 of 20 papers shown

Harada, Takashi, et al.. (2025). Inconsistency-driven approach for human-in-the-loop entity matching. Information Research an international electronic journal. 30(iConf). 1024–1038.

Harada, Takashi, et al.. (2021). BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework. 2021 IEEE International Conference on Big Data (Big Data). 3557–3565.

Tamura, Keiko, et al.. (2021). Time-Cost Estimation for Early Disaster Damage Assessment Methods, Depending on Affected Area. Journal of Disaster Research. 16(4). 733–746. 4 indexed citations

Watanabe, Chiemi, et al.. (2019). A Privacy-Preserving Similarity Search Scheme over Encrypted Word Embeddings. 403–412. 2 indexed citations

Kobayashi, Masaki, et al.. (2019). Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. 321. 4596–4601. 1 indexed citations

Kobayashi, Makoto, et al.. (2018). A Study on Information Support for Deaf and Hard-of-Hearing People Using Sports Game Timeline. 117. 2248–2253. 1 indexed citations

Kobayashi, Masaki, et al.. (2018). A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction. 3522–3528. 2 indexed citations

Zhang, Jianwei, et al.. (2017). A Basic Study on Speech-to-Text Interpretation via Crowdsourcing Part 2 -- Analysis of Input/Sent text and Personal Input Behavior. IEICE Technical Report; IEICE Tech. Rep.. 117(66). 57–62. 1 indexed citations

Seki, Yohei, et al.. (2017). Complement of incomplete task results for real-time crowdsourcing interpretation. 359–362. 1 indexed citations

10.

Morishima, Atsuyuki, et al.. (2016). CyLog/Game aspect: An approach to separation of concerns in crowdsourced data management. Information Systems. 62. 170–184. 3 indexed citations

11.

Morishima, Atsuyuki, et al.. (2013). Condition-Task-Store: A Declarative Abstraction for Microtask-based Complex Crowd-sourcing.. 20–25. 3 indexed citations

12.

Morishima, Atsuyuki, et al.. (2011). The Power of Integrated Abstraction for Data-Centric Human/Machine Computations. CEUR Workshop Proceedings. 880. 7–10. 3 indexed citations

13.

Morishima, Atsuyuki, et al.. (2009). Bringing your dead links back to life. 15–24. 9 indexed citations

14.

Takahashi, Masami, et al.. (2008). Development of a Support Tool for the Maintenance of Web Content Integrity. 70. 189–190.

15.

Sugimoto, Shigeo, Jane Hunter, Andreas Rauber, & Atsuyuki Morishima. (2006). Digital libraries: achievements, challenges and opportunities : 9th International Conference on Asian Digital Libraries, ICADL 2006, Kyoto, Japan, November 27-30, 2006 ; proceedings. 1–571. 1 indexed citations

16.

Morishima, Atsuyuki, Hiroyuki Kitagawa, & Akira Matsumoto. (2004). A machine learning approach to rapid development of XML mapping queries. 276–287. 3 indexed citations

17.

Morishima, Atsuyuki, et al.. (2001). Enabling End-users to Construct Data-intensive Web-sites from XML Repositories: An Example-based Approach. Very Large Data Bases. 703–704. 1 indexed citations

18.

Fernández, Mary, Atsuyuki Morishima, Dan Suciu, & Wang Chiew Tan. (2001). Towards a Scalable Infrastructure for Advanced E-Services.. IEEE Data(base) Engineering Bulletin. 24. 12–17. 32 indexed citations

19.

Fernández, Mary, Atsuyuki Morishima, & Dan Suciu. (2001). Efficient evaluation of XML middle-ware queries. ACM SIGMOD Record. 30(2). 103–114. 8 indexed citations

20.

Morishima, Atsuyuki, et al.. (1998). Navigator-based Query Processing in the World Wide Web Wrapper.. 191–199. 2 indexed citations

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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