Maomi Ueno

208 total papers · 1.1k total citations
99 papers, 555 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 555 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 (19 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 (19 papers) and Intelligent Tutoring Systems and Adaptive Learning (17 papers). Maomi Ueno collaborates with scholars based in Japan, Greece and Thailand. Maomi Ueno's co-authors include Masaki Uto, Toshio Okamoto, Joe Suzuki, Yasuhiko Morimoto, Demetrios G. Sampson, J. Michael Spector, Stefano A. Cerri, Akihiro Kashihara, Kazuo Shigemasu and Minoru Nakayama and has published in prestigious journals such as PLoS ONE, IEEE Access and Educational Technology Research and Development.

In The Last Decade

Maomi Ueno

92 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
Maomi Ueno	264	186	184	87	68	99	555
Theresa Beaubouef	164 0.6×	234 1.3×	289 1.6×	75 0.9×	137 2.0×	41	698
Rodolfo Villarroel	129 0.5×	285 1.5×	248 1.3×	114 1.3×	114 1.7×	60	634
David McArthur	258 1.0×	94 0.5×	107 0.6×	123 1.4×	115 1.7×	49	600
Diego Dermeval	222 0.8×	210 1.1×	139 0.8×	50 0.6×	124 1.8×	66	515
Reyes Juárez‐Ramírez	158 0.6×	280 1.5×	118 0.6×	61 0.7×	62 0.9×	84	572
Ricardo Conejo	281 1.1×	206 1.1×	263 1.4×	103 1.2×	129 1.9×	48	570
Jean Carlo Rossa Hauck	73 0.3×	243 1.3×	321 1.7×	93 1.1×	130 1.9×	74	642
Nell Dale	116 0.4×	139 0.7×	310 1.7×	64 0.7×	148 2.2×	71	524
Quanlong Guan	130 0.5×	126 0.7×	65 0.4×	113 1.3×	20 0.3×	84	550
Stefano A. Cerri	203 0.8×	101 0.5×	85 0.5×	65 0.7×	130 1.9×	69	513

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

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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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