M. C. Mangini
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology top 10%
- Sociology and Political Science
- Co-authors
- Irving BiedermanXiaomin YueSteven M. BokerBarry-John TheobaldChristoph von der MalsburgJeffrey R. SpiesJoël FagotIain Matthews
- Topics
- Face Recognition and Perception (11 papers)Visual Attention and Saliency Detection (4 papers)Evolutionary Psychology and Human Behavior (4 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Psychological ScienceJournal of Experimental Psychology Human Perception & PerformanceVision Research
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
M. C. Mangini
10 papers receiving 388 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 285
- Experimental and Cognitive Psychology 167
- Computer Vision and Pattern Recognition 113
- Social Psychology 93
- Sociology and Political Science 54
Countries citing papers authored by M. C. Mangini
This map shows the geographic impact of M. C. Mangini'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 M. C. Mangini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Mangini more than expected).
Fields of papers citing papers by M. C. Mangini
This network shows the impact of papers produced by M. C. Mangini. 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 M. C. Mangini. The network helps show where M. C. Mangini may publish in the future.
Co-authorship network of co-authors of M. C. Mangini
This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Mangini. A scholar is included among the top collaborators of M. C. Mangini 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 M. C. Mangini. M. C. Mangini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 30 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 44 | |
| 11 | 30 | |
| 12 | 113 | |
| 13 | 104 |
About M. C. Mangini
M. C. Mangini is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Face Recognition and Perception (11 papers), Visual Attention and Saliency Detection (4 papers) and Evolutionary Psychology and Human Behavior (4 papers). The work is most often cited by research in Cognitive Neuroscience (285 citations), Experimental and Cognitive Psychology (167 citations) and Computer Vision and Pattern Recognition (113 citations). M. C. Mangini has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Irving Biederman, Xiaomin Yue, Steven M. Boker, Barry-John Theobald, Christoph von der Malsburg, Jeffrey R. Spies, Joël Fagot, Iain Matthews, Timothy R. Brick and Ori Amir. Their work appears in journals such as Psychological Science, Journal of Experimental Psychology Human Perception & Performance and Vision Research.
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.