Dimitrios Dimitriadis
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Co-authors
- Alexandros PotamianosPetros MaragosPetr FousekEnrico BocchieriAndreas StolckeYae Jee ChoRobert B. SimAndre Manoel
- Topics
- Speech and Audio Processing (34 papers)Speech Recognition and Synthesis (31 papers)Music and Audio Processing (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingACM Computing Surveys
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
Dimitrios Dimitriadis
53 papers receiving 749 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 569
- Signal Processing 473
- Experimental and Cognitive Psychology 99
- Computer Vision and Pattern Recognition 92
- Computational Mechanics 54
Countries citing papers authored by Dimitrios Dimitriadis
This map shows the geographic impact of Dimitrios Dimitriadis'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 Dimitrios Dimitriadis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitrios Dimitriadis more than expected).
Fields of papers citing papers by Dimitrios Dimitriadis
This network shows the impact of papers produced by Dimitrios Dimitriadis. 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 Dimitrios Dimitriadis. The network helps show where Dimitrios Dimitriadis may publish in the future.
Co-authorship network of co-authors of Dimitrios Dimitriadis
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrios Dimitriadis. A scholar is included among the top collaborators of Dimitrios Dimitriadis 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 Dimitrios Dimitriadis. Dimitrios Dimitriadis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 55 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 47 | |
| 11 | 15 | |
| 12 | 43 | |
| 13 | 25 | |
| 14 | Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. | 13 |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 26 | |
| 18 | 49 | |
| 19 | 2 | |
| 20 | 17 |
About Dimitrios Dimitriadis
Dimitrios Dimitriadis is a scholar working on Signal Processing, Artificial Intelligence and Health Informatics, having authored 57 papers that have together received 813 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Speech Recognition and Synthesis (31 papers) and Music and Audio Processing (24 papers). The work is most often cited by research in Signal Processing (473 citations), Artificial Intelligence (569 citations) and Experimental and Cognitive Psychology (99 citations). Dimitrios Dimitriadis has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Alexandros Potamianos, Petros Maragos, Petros Maragos, Petr Fousek, Enrico Bocchieri, Andreas Stolcke, Yae Jee Cho, Robert B. Sim, Andre Manoel and Pirros Tsiakoulis. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and ACM Computing Surveys.
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.