Karl Grieser
About
In The Last Decade
Karl Grieser
5 papers receiving 583 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 476
- Information Systems 146
- General Social Sciences 117
- Sociology and Political Science 68
- Statistical and Nonlinear Physics 68
Countries citing papers authored by Karl Grieser
This map shows the geographic impact of Karl Grieser'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 Karl Grieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Grieser more than expected).
Fields of papers citing papers by Karl Grieser
This network shows the impact of papers produced by Karl Grieser. 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 Karl Grieser. The network helps show where Karl Grieser may publish in the future.
Co-authorship network of co-authors of Karl Grieser
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Grieser. A scholar is included among the top collaborators of Karl Grieser 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 Karl Grieser. Karl Grieser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity | 3 |
| 2 | Automatic Labelling of Topic Models | 114 |
| 3 | 28 | |
| 4 | Automatic Evaluation of Topic Coherence breakdown → | 472 |
| 5 | Dynamic Path Prediction and Recommendation in a Museum Environment | 13 |
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.