Jan Vosecky
- Artificial Intelligence top 10%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Topics
- Web Data Mining and Analysis (7 papers)Complex Network Analysis Techniques (5 papers)Expert finding and Q&A systems (3 papers)
- Journals
- Knowledge-Based SystemsACM Transactions on Internet TechnologyRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- Hong KongUnited KingdomChina
In The Last Decade
Jan Vosecky
12 papers receiving 278 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 176
- Information Systems 172
- Statistical and Nonlinear Physics 115
- Management Science and Operations Research 46
- Sociology and Political Science 34
Countries citing papers authored by Jan Vosecky
This map shows the geographic impact of Jan Vosecky'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 Jan Vosecky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Vosecky more than expected).
Fields of papers citing papers by Jan Vosecky
This network shows the impact of papers produced by Jan Vosecky. 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 Jan Vosecky. The network helps show where Jan Vosecky may publish in the future.
Co-authorship network of co-authors of Jan Vosecky
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vosecky. A scholar is included among the top collaborators of Jan Vosecky 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 Jan Vosecky. Jan Vosecky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 22 | |
| 3 | 33 | |
| 4 | 16 | |
| 5 | Panorama: A Semantic-aware Application Search Framework | 1 |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 13 | |
| 10 | A Quality of Service Aware Routing Using Multiple Paths for TDMA-Based Ad hoc Networks. | 2 |
| 11 | User Identification across Social Networks using the Web Profile and Friend Network | 10 |
| 12 | 157 |
About Jan Vosecky
Jan Vosecky is a scholar working on Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 12 papers that have together received 298 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Complex Network Analysis Techniques (5 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (115 citations), Information Systems (172 citations) and Artificial Intelligence (176 citations). Jan Vosecky has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Danfeng Hong, V. Y. Shen, Wilfred Ng, Kenneth Wai-Ting Leung, Di Jiang and Lingxiao Yang. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Internet Technology and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.