Christian C. Luhmann
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- General Decision Sciences top 2%
- Developmental and Educational Psychology top 5%
- Social Psychology top 10%
- Co-authors
- Greg HajcakKanako IshidaWoo‐kyoung AhnMichael T. BixterSuparna RajaramDo-Joon YiDaeyeol LeeMarvin M. Chun
- Topics
- Decision-Making and Behavioral Economics (16 papers)Neural and Behavioral Psychology Studies (12 papers)Experimental Behavioral Economics Studies (8 papers)
- Partner nations
- United StatesHong KongItaly
In The Last Decade
Christian C. Luhmann
47 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cognitive Neuroscience 501
- Experimental and Cognitive Psychology 242
- General Decision Sciences 220
- Developmental and Educational Psychology 202
- Social Psychology 149
Countries citing papers authored by Christian C. Luhmann
This map shows the geographic impact of Christian C. Luhmann'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 Christian C. Luhmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian C. Luhmann more than expected).
Fields of papers citing papers by Christian C. Luhmann
This network shows the impact of papers produced by Christian C. Luhmann. 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 Christian C. Luhmann. The network helps show where Christian C. Luhmann may publish in the future.
Co-authorship network of co-authors of Christian C. Luhmann
This figure shows the co-authorship network connecting the top 25 collaborators of Christian C. Luhmann. A scholar is included among the top collaborators of Christian C. Luhmann 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 Christian C. Luhmann. Christian C. Luhmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | PyMC: a modern, and comprehensive probabilistic programming framework in Pythonbreakdown → | 244 |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | Mnemonic Diffusion: An Agent-Based Modeling Investigation of Collective Memory | 8 |
| 14 | 139 | |
| 15 | 17 | |
| 16 | 32 | |
| 17 | 125 | |
| 18 | Evaluating the Causal Role of Unobserved Variables | 11 |
| 19 | 40 | |
| 20 | 108 |
About Christian C. Luhmann
Christian C. Luhmann is a scholar working on General Decision Sciences, Cognitive Neuroscience and Applied Psychology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (16 papers), Neural and Behavioral Psychology Studies (12 papers) and Experimental Behavioral Economics Studies (8 papers). The work is most often cited by research in General Decision Sciences (220 citations), Cognitive Neuroscience (501 citations) and Applied Psychology (114 citations). Christian C. Luhmann has collaborated with scholars based in United States, Hong Kong and Italy. Frequent co-authors include Greg Hajcak, Kanako Ishida, Woo‐kyoung Ahn, Michael T. Bixter, Suparna Rajaram, Do-Joon Yi, Daeyeol Lee, Marvin M. Chun, Xiao‐Jing Wang and Michael Osthege. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Psychological Review.
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.