John A. Michon
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Safety, Risk, Reliability and Quality top 2%
- Artificial Intelligence
- Co-authors
- Jonathan JacksonJohn CohenWiel H. JanssenAlison SmileyLewis O. HarveyHåkan AlmAlan L. RobinR Krishnadas
- Topics
- Neuroscience and Music Perception (12 papers)Visual and Cognitive Learning Processes (4 papers)Visual perception and processing mechanisms (4 papers)
- Cited by
- Cognitive NeuroscienceSafety, Risk, Reliability and QualityExperimental and Cognitive Psychology
- Partner nations
- NetherlandsUnited StatesIndia
In The Last Decade
John A. Michon
56 papers receiving 927 citations
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 531
- Social Psychology 288
- Experimental and Cognitive Psychology 234
- Safety, Risk, Reliability and Quality 164
- Artificial Intelligence 84
Countries citing papers authored by John A. Michon
This map shows the geographic impact of John A. Michon'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 John A. Michon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Michon more than expected).
Fields of papers citing papers by John A. Michon
This network shows the impact of papers produced by John A. Michon. 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 John A. Michon. The network helps show where John A. Michon may publish in the future.
Co-authorship network of co-authors of John A. Michon
This figure shows the co-authorship network connecting the top 25 collaborators of John A. Michon. A scholar is included among the top collaborators of John A. Michon 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 John A. Michon. John A. Michon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | Generic intelligent drive support | 91 |
| 5 | 32 | |
| 6 | 2 | |
| 7 | Driver support | 27 |
| 8 | 92 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 50 | |
| 12 | 13 | |
| 13 | SIGNAL-DETECTION THEORY AND ROC ANALYSIS - EGAN,JP | 2 |
| 14 | 24 | |
| 15 | 41 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 3 | |
| 20 | [EARLY RESULTS OF A COMBINATION OF PHLOROGLUCINOL AND TRIMETHOXYBENZENE IN THE TREATMENT OF URETERAL LITHIASIS]. | 1 |
About John A. Michon
John A. Michon is a scholar working on Cognitive Neuroscience, Developmental Biology and Experimental and Cognitive Psychology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (12 papers), Visual and Cognitive Learning Processes (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (531 citations), Safety, Risk, Reliability and Quality (164 citations) and Experimental and Cognitive Psychology (234 citations). John A. Michon has collaborated with scholars based in Netherlands, United States and India. Frequent co-authors include Jonathan Jackson, John Cohen, Wiel H. Janssen, Alison Smiley, Lewis O. Harvey, Håkan Alm, Alan L. Robin, R Krishnadas, R Ramakrishnan and Harm Jan Boonstra. Their work appears in journals such as American Psychologist, Brain Research and Annals of the New York Academy of Sciences.
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.