Markus Conci
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Hermann J. MüllerAdrian von MühlenenThomas TöllnerThomas GeyerMark A. ElliottArtyom ZinchenkoSiyi ChenKathrin Finke
- Topics
- Visual perception and processing mechanisms (45 papers)Neural and Behavioral Psychology Studies (44 papers)Face Recognition and Perception (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Markus Conci
62 papers receiving 991 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 934
- Experimental and Cognitive Psychology 195
- Computer Vision and Pattern Recognition 125
- Social Psychology 92
- Human-Computer Interaction 52
Countries citing papers authored by Markus Conci
This map shows the geographic impact of Markus Conci'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 Markus Conci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Conci more than expected).
Fields of papers citing papers by Markus Conci
This network shows the impact of papers produced by Markus Conci. 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 Markus Conci. The network helps show where Markus Conci may publish in the future.
Co-authorship network of co-authors of Markus Conci
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Conci. A scholar is included among the top collaborators of Markus Conci 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 Markus Conci. Markus Conci 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 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 26 | |
| 15 | 16 | |
| 16 | 21 | |
| 17 | 40 | |
| 18 | 51 | |
| 19 | 34 | |
| 20 | 40 |
About Markus Conci
Markus Conci is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (45 papers), Neural and Behavioral Psychology Studies (44 papers) and Face Recognition and Perception (16 papers). The work is most often cited by research in Cognitive Neuroscience (934 citations), Experimental and Cognitive Psychology (195 citations) and General Decision Sciences (23 citations). Markus Conci has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Hermann J. Müller, Hermann J. Müller, Adrian von Mühlenen, Thomas Töllner, Thomas Geyer, Mark A. Elliott, Artyom Zinchenko, Siyi Chen, Kathrin Finke and Luning Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.