Christian Rohrdantz
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Daniel A. KeimDaniela OelkeUmeshwar DayalMing HaoHalldór JanetzkoOliver DeußenHendrik StrobeltAndreas Weiler
- Topics
- Data Visualization and Analytics (18 papers)Advanced Text Analysis Techniques (15 papers)Sentiment Analysis and Opinion Mining (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Christian Rohrdantz
33 papers receiving 472 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 298
- Computer Vision and Pattern Recognition 264
- Statistical and Nonlinear Physics 114
- Information Systems 75
- Sociology and Political Science 73
Countries citing papers authored by Christian Rohrdantz
This map shows the geographic impact of Christian Rohrdantz'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 Rohrdantz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Rohrdantz more than expected).
Fields of papers citing papers by Christian Rohrdantz
This network shows the impact of papers produced by Christian Rohrdantz. 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 Rohrdantz. The network helps show where Christian Rohrdantz may publish in the future.
Co-authorship network of co-authors of Christian Rohrdantz
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Rohrdantz. A scholar is included among the top collaborators of Christian Rohrdantz 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 Rohrdantz. Christian Rohrdantz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | V1 in Icelandic : A Multifactorical Visualization of Historical Data | 5 |
| 3 | Towards visualizing linguistic patterns of deliberation : a case study of the S21 arbitration | 2 |
| 4 | 26 | |
| 5 | PhonMatrix : Visualizing co-occurrence constraints of sounds | 2 |
| 6 | A Visual Analytics System for Cluster Exploration | 2 |
| 7 | 3 | |
| 8 | Visual Analytics for the Prediction of Movie Rating and Box Office Performance | 2 |
| 9 | Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results | 2 |
| 10 | 25 | |
| 11 | Lexical Semantics and Distribution of Suffixes - A Visual Analysis | 7 |
| 12 | 10 | |
| 13 | Towards Tracking Semantic Change by Visual Analytics | 14 |
| 14 | 56 | |
| 15 | 1 | |
| 16 | Real-Time Visualization of Streaming Text Data: Tasks and Challenges | 11 |
| 17 | 13 | |
| 18 | 4 | |
| 19 | Large-scale Comparative Sentiment Analysis of News Articles | 4 |
| 20 | 68 |
About Christian Rohrdantz
Christian Rohrdantz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 35 papers that have together received 523 indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Advanced Text Analysis Techniques (15 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (264 citations), Artificial Intelligence (298 citations) and Statistical and Nonlinear Physics (114 citations). Christian Rohrdantz has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Daniel A. Keim, Daniela Oelke, Umeshwar Dayal, Ming Hao, Halldór Janetzko, Oliver Deußen, Hendrik Strobelt, Andreas Weiler, Andreas Stoffel and Meichun Hsu. Their work appears in journals such as Computer, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.