Poster Open Access
SciTo Trends: Visualising Scientific Topic Trends
Serafeim Chatzopoulos;
Panagiotis Deligiannis;
Thanasis Vergoulis;
Ilias Kanellos;
Christos Tryfonopoulos;
Theodore Dalamagas
Monitoring trends in scientific disciplines is a common task for researchers and other professionals in the broad research and academic community, like research and innovation policy makers and research fund managers. We demonstrate SciTo, a powerful tool that assists in the monitoring of trends in scientific disciplines. SciTo supports keyword-based search for the identification of scientific topics of interest and comparison of interesting topics to each other in terms of their popularity inside the academic community.
Full author list: Serafeim Chatzopoulos, Panagiotis Deligiannis, Thanasis Vergoulis, Ilias Kanellos, Christos Tryfonopoulos, Theodore Dalamagas
| Name | Size | |
|---|---|---|
|
Scito___TPDL_Poster.pdf
md5:19633303dd15d640a00fbcba7f5a63bb |
625.1 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 46 | 46 |
| Downloads | 29 | 29 |
| Data volume | 18.1 MB | 18.1 MB |
| Unique views | 34 | 34 |
| Unique downloads | 25 | 25 |
- Publication date:
- September 10, 2019
- DOI:
-
- Keyword(s):
- Topic Modeling Scientific Impact Information Retrieval
- Meeting:
- 23rd International Conference on Theory and Practice of Digital Libraries (TPDL 2019), Oslo, 9-12, September 2019
- License (for files):
- Creative Commons Attribution 4.0 International