Ivica Rogina
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction
- Experimental and Cognitive Psychology
- Co-authors
- Tanja SchultzAlex WaibelMichael FinkeJürgen FritschThomas SchaafAlexander WaibelJie YangMatthias Denecke
- Topics
- Speech Recognition and Synthesis (11 papers)Natural Language Processing Techniques (8 papers)Speech and dialogue systems (6 papers)
- Journals
- HAL (Le Centre pour la Communication Scientifique Directe)Repository KITopen (Karlsruhe Institute of Technology)2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Ivica Rogina
19 papers receiving 262 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 258
- Signal Processing 108
- Computer Vision and Pattern Recognition 68
- Human-Computer Interaction 21
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Ivica Rogina
This map shows the geographic impact of Ivica Rogina'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 Ivica Rogina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivica Rogina more than expected).
Fields of papers citing papers by Ivica Rogina
This network shows the impact of papers produced by Ivica Rogina. 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 Ivica Rogina. The network helps show where Ivica Rogina may publish in the future.
Co-authorship network of co-authors of Ivica Rogina
This figure shows the co-authorship network connecting the top 25 collaborators of Ivica Rogina. A scholar is included among the top collaborators of Ivica Rogina 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 Ivica Rogina. Ivica Rogina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 61 | |
| 3 | 20 | |
| 4 | 29 | |
| 5 | 22 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | Towards Spontaneous Speech Translation | 10 |
| 17 | 5 | |
| 18 | 33 | |
| 19 | 16 |
About Ivica Rogina
Ivica Rogina is a scholar working on Signal Processing, Artificial Intelligence and Information Systems and Management, having authored 19 papers that have together received 317 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Signal Processing (108 citations), Artificial Intelligence (258 citations) and Human-Computer Interaction (21 citations). Ivica Rogina has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Tanja Schultz, Alex Waibel, Michael Finke, Jürgen Fritsch, Thomas Schaaf, Alexander Waibel, Jie Yang, Matthias Denecke, Robert Malkin and Monika Woszczyna. Their work appears in journals such as HAL (Le Centre pour la Communication Scientifique Directe), Repository KITopen (Karlsruhe Institute of Technology) and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
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.