Tim C. Kietzmann
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Jan KietzmannNikolaus KriegeskorteCourtney J. SpoererJeannette PaschenPeter KönigLinda W. LeeIan P. McCarthyJohannes Mehrer
- Topics
- Face Recognition and Perception (19 papers)Neural dynamics and brain function (15 papers)Visual perception and processing mechanisms (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Tim C. Kietzmann
41 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 768
- Computer Vision and Pattern Recognition 408
- Artificial Intelligence 322
- Sociology and Political Science 215
- Experimental and Cognitive Psychology 108
Countries citing papers authored by Tim C. Kietzmann
This map shows the geographic impact of Tim C. Kietzmann'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 Tim C. Kietzmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim C. Kietzmann more than expected).
Fields of papers citing papers by Tim C. Kietzmann
This network shows the impact of papers produced by Tim C. Kietzmann. 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 Tim C. Kietzmann. The network helps show where Tim C. Kietzmann may publish in the future.
Co-authorship network of co-authors of Tim C. Kietzmann
This figure shows the co-authorship network connecting the top 25 collaborators of Tim C. Kietzmann. A scholar is included among the top collaborators of Tim C. Kietzmann 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 Tim C. Kietzmann. Tim C. Kietzmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | The neuroconnectionist research programmebreakdown → | 88 |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 36 | |
| 8 | 63 | |
| 9 | 57 | |
| 10 | 7 | |
| 11 | Artificial intelligence (AI) and its implications for market knowledge in B2B marketingbreakdown → | 234 |
| 12 | 4 | |
| 13 | 31 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 54 | |
| 18 | 36 | |
| 19 | 44 | |
| 20 | 10 |
About Tim C. Kietzmann
Tim C. Kietzmann is a scholar working on Cognitive Neuroscience, Sensory Systems and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (19 papers), Neural dynamics and brain function (15 papers) and Visual perception and processing mechanisms (15 papers). The work is most often cited by research in Cognitive Neuroscience (768 citations), Computer Vision and Pattern Recognition (408 citations) and Human-Computer Interaction (76 citations). Tim C. Kietzmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jan Kietzmann, Nikolaus Kriegeskorte, Courtney J. Spoerer, Jeannette Paschen, Peter König, Linda W. Lee, Ian P. McCarthy, Johannes Mehrer, Radoslaw Martin Cichy and Lynn K. A. Sörensen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.