David Melcher
- Cognitive Neuroscience top 0.5%
- Visual perception and processing mechanisms 97
- Neural dynamics and brain function 62
- Neural and Behavioral Psychology Studies 42
- Face Recognition and Perception 16
- EEG and Brain-Computer Interfaces 13
- Tactile and Sensory Interactions 11
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- Multisensory perception and integration 29
- Sensory Systems top 2%
- Statistics and Probability top 1%
- Human-Computer Interaction top 2%
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- Visual Attention and Saliency Detection 16
- Co-authors
- Andreas WutzCarol L. ColbyLuca RonconiMaria Concetta MorroneFrancesca BacciEileen KowlerManuela PiazzaAlessio Fracasso
- Partner nations
- ItalyUnited StatesUnited Arab Emirates
In The Last Decade
David Melcher
134 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 3.3k
- Experimental and Cognitive Psychology 730
- Sensory Systems 242
- Statistics and Probability 269
- Human-Computer Interaction 169
Countries citing papers authored by David Melcher
This map shows the geographic impact of David Melcher'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 David Melcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Melcher more than expected).
Fields of papers citing papers by David Melcher
This network shows the impact of papers produced by David Melcher. 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 David Melcher. The network helps show where David Melcher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Melcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 31 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 21 | |
| 15 | 2017 | 15 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 31 | |
| 18 | 2013 | 1 | |
| 19 | 2005 | 0 | |
| 20 | 2005 | 80 |
About David Melcher
David Melcher is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems, having authored 138 papers that have together received 3.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (97 papers), Neural dynamics and brain function (62 papers), Neural and Behavioral Psychology Studies (42 papers), Multisensory perception and integration (29 papers), Face Recognition and Perception (16 papers), Visual Attention and Saliency Detection (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Tactile and Sensory Interactions (11 papers). The work is most often cited by research in Cognitive Neuroscience (3.3k citations), Experimental and Cognitive Psychology (730 citations) and Sensory Systems (242 citations). David Melcher has collaborated with scholars based in Italy, United States and United Arab Emirates. Frequent co-authors include Andreas Wutz, Carol L. Colby, Luca Ronconi, Maria Concetta Morrone, Francesca Bacci, Eileen Kowler, Manuela Piazza, Alessio Fracasso, Jason Samaha and David Alais. Their work appears in journals such as Journal of Vision, PLoS ONE, Scientific Reports, Frontiers in Psychology and Attention Perception & Psychophysics.
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.