Matthias Petri
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Alistair MoffatJ. Shane CulpepperSimon GogJoel MackenzieGiulio Ermanno PibiriFalk ScholerSimon J. PuglisiJohanne R. Trippas
- Topics
- Algorithms and Data Compression (23 papers)Natural Language Processing Techniques (7 papers)Data Management and Algorithms (7 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information SystemsSoftware Practice and Experience
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Matthias Petri
32 papers receiving 284 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 219
- Computer Networks and Communications 106
- Computer Vision and Pattern Recognition 82
- Information Systems 59
- Signal Processing 57
Countries citing papers authored by Matthias Petri
This map shows the geographic impact of Matthias Petri'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 Matthias Petri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Petri more than expected).
Fields of papers citing papers by Matthias Petri
This network shows the impact of papers produced by Matthias Petri. 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 Matthias Petri. The network helps show where Matthias Petri may publish in the future.
Co-authorship network of co-authors of Matthias Petri
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Petri. A scholar is included among the top collaborators of Matthias Petri 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 Matthias Petri. Matthias Petri 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 | 8 | |
| 3 | 8 | |
| 4 | 31 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | Succinct Data Structures for NLP-at-Scale | 2 |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | RMIT and Gunma University at NTCIR-9 Intent Task | 0 |
| 20 | 22 |
About Matthias Petri
Matthias Petri is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 35 papers that have together received 296 indexed citations. Recurring topics across this work include Algorithms and Data Compression (23 papers), Natural Language Processing Techniques (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Hardware and Architecture (52 citations), Artificial Intelligence (219 citations) and Signal Processing (57 citations). Matthias Petri has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Alistair Moffat, J. Shane Culpepper, Simon Gog, Joel Mackenzie, Giulio Ermanno Pibiri, Falk Scholer, Simon J. Puglisi, Johanne R. Trippas, Trevor Cohn and Elena Meshkova. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Software Practice and Experience.
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.