Motonari Maeda

16 total papers · 1.2k total citations
12 papers, 919 citations indexed

About

Motonari Maeda is a scholar working on Psychiatry and Mental health, Social Psychology and Clinical Psychology. According to data from OpenAlex, Motonari Maeda has authored 12 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 4 papers in Social Psychology and 4 papers in Clinical Psychology. Recurrent topics in Motonari Maeda's work include Psychosomatic Disorders and Their Treatments (9 papers), Action Observation and Synchronization (4 papers) and Mental Health and Psychiatry (3 papers). Motonari Maeda is often cited by papers focused on Psychosomatic Disorders and Their Treatments (9 papers), Action Observation and Synchronization (4 papers) and Mental Health and Psychiatry (3 papers). Motonari Maeda collaborates with scholars based in Japan, United States and India. Motonari Maeda's co-authors include Gen Komaki, Yoshiya Moriguchi, Takashi Ohnishi, Hiroshi Matsuda, Kiyotaka Nemoto, Takeyuki Mori, Jean Decety, Richard D. Lane, Chiharu Kubo and Tetsuya Igarashi and has published in prestigious journals such as NeuroImage, Cerebral Cortex and Personality and Individual Differences.

In The Last Decade

Motonari Maeda

12 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Motonari Maeda 576 344 316 309 288 12 919
Elizabeth Bartmess 622 1.1× 264 0.8× 244 0.8× 475 1.5× 442 1.5× 8 1.1k
Farzin Irani 461 0.8× 144 0.4× 434 1.4× 219 0.7× 183 0.6× 24 1.1k
Ellen Matthias 449 0.8× 176 0.5× 443 1.4× 246 0.8× 294 1.0× 15 876
Katharina S. Goerlich 587 1.0× 313 0.9× 468 1.5× 264 0.9× 433 1.5× 32 1.1k
Mike Acree 620 1.1× 186 0.5× 237 0.8× 448 1.4× 380 1.3× 8 999
Martha L. Glisky 430 0.7× 181 0.5× 461 1.5× 375 1.2× 252 0.9× 16 1.2k
R.C. Gur 625 1.1× 125 0.4× 622 2.0× 174 0.6× 231 0.8× 19 1.2k
Tiziano Colibazzi 355 0.6× 163 0.5× 649 2.1× 310 1.0× 380 1.3× 24 1.2k
Sharon Flanagan 366 0.6× 213 0.6× 372 1.2× 217 0.7× 170 0.6× 8 922
Mbemba Jabbi 294 0.5× 481 1.4× 659 2.1× 197 0.6× 285 1.0× 19 1.2k

Countries citing papers authored by Motonari Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Motonari Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motonari Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Motonari Maeda. A scholar is included among the top collaborators of Motonari Maeda 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 Motonari Maeda. Motonari Maeda 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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