Maomi Ueno

1.1k total citations
99 papers, 556 citations indexed

About

Maomi Ueno is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Maomi Ueno has authored 99 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 29 papers in Information Systems and 14 papers in Management Science and Operations Research. Recurrent topics in Maomi Ueno's work include Educational Technology and Assessment (20 papers), Bayesian Modeling and Causal Inference (18 papers) and Intelligent Tutoring Systems and Adaptive Learning (17 papers). Maomi Ueno is often cited by papers focused on Educational Technology and Assessment (20 papers), Bayesian Modeling and Causal Inference (18 papers) and Intelligent Tutoring Systems and Adaptive Learning (17 papers). Maomi Ueno collaborates with scholars based in Japan, Greece and United States. Maomi Ueno's co-authors include Masaki Uto, Toshio Okamoto, Yasuhiko Morimoto, Demetrios G. Sampson, J. Michael Spector, Akihiro Kashihara, Stefano A. Cerri, Minoru Nakayama, Kazuo Shigemasu and Wim J. van der Linden and has published in prestigious journals such as PLoS ONE, IEEE Access and Educational Technology Research and Development.

In The Last Decade

Maomi Ueno

93 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maomi Ueno Japan 14 266 185 184 87 71 99 556
Rodolfo Villarroel Chile 15 130 0.5× 286 1.5× 252 1.4× 114 1.3× 114 1.6× 61 640
Marco Temperini Italy 15 249 0.9× 246 1.3× 412 2.2× 172 2.0× 194 2.7× 77 720
Ricardo Conejo Spain 12 261 1.0× 181 1.0× 254 1.4× 103 1.2× 124 1.7× 47 514
Nell Dale United States 13 116 0.4× 139 0.8× 310 1.7× 64 0.7× 148 2.1× 71 524
Gordon I. McCalla Canada 10 320 1.2× 125 0.7× 144 0.8× 43 0.5× 119 1.7× 30 472
Filippo Sciarrone Italy 14 252 0.9× 272 1.5× 322 1.8× 124 1.4× 127 1.8× 65 656
James D. Kiper United States 11 107 0.4× 193 1.0× 80 0.4× 35 0.4× 30 0.4× 50 381
Titus Barik United States 16 189 0.7× 450 2.4× 252 1.4× 25 0.3× 62 0.9× 44 815
Y.T. Yu Hong Kong 12 132 0.5× 267 1.4× 200 1.1× 122 1.4× 110 1.5× 35 780
Viera K. Proulx United States 18 160 0.6× 217 1.2× 513 2.8× 57 0.7× 141 2.0× 64 809

Countries citing papers authored by Maomi Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Maomi Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maomi Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Maomi Ueno. A scholar is included among the top collaborators of Maomi Ueno 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 Maomi Ueno. Maomi Ueno 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
2.
Minato, Shin-ichi, et al.. (2023). Automated Parallel Test Forms Assembly using Zero-suppressed Binary Decision Diagrams. IEEE Access. 11. 112804–112813. 1 indexed citations
3.
Ueno, Maomi, et al.. (2022). Hybrid Maximum Clique Algorithm Using Parallel Integer Programming for Uniform Test Assembly. IEEE Transactions on Learning Technologies. 15(2). 252–264. 3 indexed citations
4.
Ueno, Maomi, et al.. (2016). An extended depth-first search algorithm for optimal triangulation of Bayesian networks. International Journal of Approximate Reasoning. 80. 294–312. 9 indexed citations
5.
Yamamoto, Kenji, et al.. (2015). Sensorless Rotor Position Detection for SRMs with Drive Current-isolated Signaling System. IEEJ Transactions on Industry Applications. 135(5). 521–530. 1 indexed citations
6.
Ueno, Maomi. (2011). Robust learning Bayesian networks for prior belief. arXiv (Cornell University). 698–707. 5 indexed citations
7.
8.
Ueno, Maomi, et al.. (2010). Multiple Test Forms Construction based on Bees Algorithm.. Educational Data Mining. 321–322. 2 indexed citations
9.
Ueno, Maomi, et al.. (2008). Effect of pointer presentation on multimedia e-learning materials. EdMedia: World Conference on Educational Media and Technology. 2008(1). 5549–5559. 3 indexed citations
10.
Morimoto, Yasuhiko, et al.. (2006). Formal Method of Description Supporting Portfolio Assessment.. Educational Technology & Society. 9(3). 88–99. 2 indexed citations
11.
Ueno, Maomi, et al.. (2006). On-line Data-analysis of e-Learning Response Time using Gamma Distribution. 29(1). 65–73. 2 indexed citations
12.
Ueno, Maomi, et al.. (2006). Using Quiz Results Effectively.. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2006(1). 241–249. 2 indexed citations
13.
Ueno, Maomi, et al.. (2006). Collaborative E-Testing Construction Using Prediction Tools To Improve Test Reliability. The International Journal of the Computer, the Internet and Management. 14(1). 24–24. 1 indexed citations
14.
Ueno, Maomi, et al.. (2005). On-Line Analysis of e-Learning Time based on Gamma Distributions. EdMedia: World Conference on Educational Media and Technology. 2005(1). 3629–3637. 2 indexed citations
15.
Ueno, Maomi. (2005). Web based Computerized Testing System for Distance Education. 28(1). 59–69. 3 indexed citations
16.
Ueno, Maomi. (2005). Intelligent LMS with an agent that learns from log data. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 3169–3176. 6 indexed citations
17.
Ueno, Maomi, et al.. (2005). e-Testing Management System. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 3139–3148. 2 indexed citations
18.
Ueno, Maomi. (2003). On-Line Statistical Outlier Detection of irregular learning processes for e-learning. EdMedia: World Conference on Educational Media and Technology. 2003(1). 227–234. 3 indexed citations
19.
Ueno, Maomi. (1998). A derivation of IRT model from a joint binary probability distribution and it's parameter estimation. 26. 383–386. 1 indexed citations
20.
Ueno, Maomi, et al.. (1994). A LATENT TRAIT MODEL FOR READING PROCESS OF A WORD. Kodo Keiryogaku (The Japanese Journal of Behaviormetrics). 21(1). 48–56.

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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