Jan Kleindienst
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Information Systems
- Human-Computer Interaction
- Co-authors
- Rudolf KadlecGanesh N. RamaswamyLazaros PolymenakosFrantišek PlášilPetr TůmaPavel Slavı́kStéphane MaesHolger Quast
- Topics
- Speech and dialogue systems (15 papers)Human-Automation Interaction and Safety (5 papers)Natural Language Processing Techniques (5 papers)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper seriesImage and Vision ComputingIEEE Pervasive Computing
- Partner nations
- United StatesCzechiaGreece
In The Last Decade
Jan Kleindienst
21 papers receiving 98 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 69
- Computer Vision and Pattern Recognition 31
- Computer Networks and Communications 23
- Information Systems 20
- Human-Computer Interaction 19
Countries citing papers authored by Jan Kleindienst
This map shows the geographic impact of Jan Kleindienst'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 Kleindienst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kleindienst more than expected).
Fields of papers citing papers by Jan Kleindienst
This network shows the impact of papers produced by Jan Kleindienst. 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 Kleindienst. The network helps show where Jan Kleindienst may publish in the future.
Co-authorship network of co-authors of Jan Kleindienst
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kleindienst. A scholar is included among the top collaborators of Jan Kleindienst 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 Kleindienst. Jan Kleindienst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Reading Companion: The Technical and Social Design of an Automated Reading Tutor | 8 |
| 8 | 1 | |
| 9 | What We Are Missing in the CORBA Persistent Object Service Specification | 0 |
| 10 | Combination of models and logs for visual analysis of data from usability evaluation | 1 |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 8 |
About Jan Kleindienst
Jan Kleindienst is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems and Management, having authored 25 papers that have together received 114 indexed citations. Recurring topics across this work include Speech and dialogue systems (15 papers), Human-Automation Interaction and Safety (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Human-Computer Interaction (19 citations), Artificial Intelligence (69 citations) and Computer Vision and Pattern Recognition (31 citations). Jan Kleindienst has collaborated with scholars based in United States, Czechia and Greece. Frequent co-authors include Rudolf Kadlec, Ganesh N. Ramaswamy, Lazaros Polymenakos, František Plášil, Petr Tůma, Pavel Slavı́k, Stéphane Maes, Holger Quast, John Soldatos and N. Dimakis. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Image and Vision Computing and IEEE Pervasive Computing.
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.