Mārcis Pinnis
- Artificial Intelligence top 10%
- Language and Linguistics top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Inguna SkadiņaAhmet AkerMonica Lestari ParamitaRobert GaizauskasRadu IonBogdan BabychEmma BarkerJan-Thorsten Peter
- Topics
- Natural Language Processing Techniques (30 papers)Topic Modeling (21 papers)Semantic Web and Ontologies (7 papers)
- Journals
- Language Resources and EvaluationTerminology International Journal of Theoretical and Applied Issues in Specialized CommunicationKI - Künstliche Intelligenz
- Partner nations
- United KingdomLatviaGermany
In The Last Decade
Mārcis Pinnis
34 papers receiving 114 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 141
- Language and Linguistics 34
- Information Systems 10
- Computer Vision and Pattern Recognition 10
- Molecular Biology 8
Countries citing papers authored by Mārcis Pinnis
This map shows the geographic impact of Mārcis Pinnis'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 Mārcis Pinnis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mārcis Pinnis more than expected).
Fields of papers citing papers by Mārcis Pinnis
This network shows the impact of papers produced by Mārcis Pinnis. 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 Mārcis Pinnis. The network helps show where Mārcis Pinnis may publish in the future.
Co-authorship network of co-authors of Mārcis Pinnis
This figure shows the co-authorship network connecting the top 25 collaborators of Mārcis Pinnis. A scholar is included among the top collaborators of Mārcis Pinnis 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 Mārcis Pinnis. Mārcis Pinnis 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 | 5 | |
| 3 | A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect. | 2 |
| 4 | Customized Neural Machine Translation Systems for the Swiss Legal Domain | 3 |
| 5 | Neural Translation for the European Union (NTEU) Project. | 1 |
| 6 | 2 | |
| 7 | Large-scale machine translation evaluation of the iADAATPA project | 3 |
| 8 | Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages. | 8 |
| 9 | Tilde MT Platform for Developing Client Specific MT Solutions | 7 |
| 10 | Developing a Neural Machine Translation Service for the 2017-2018 European Union Presidency. | 2 |
| 11 | NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project | 4 |
| 12 | Designing a Speech Corpus for the Development and Evaluation of Dictation Systems in Latvian | 3 |
| 13 | What Can We Really Learn from Post-editing? | 1 |
| 14 | Bilingual dictionaries for all EU languages | 8 |
| 15 | Context Independent Term Mapper for European Languages | 9 |
| 16 | Application of Online Terminology Services in Statistical Machine Translation | 5 |
| 17 | ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora | 11 |
| 18 | Latvian and Lithuanian Named Entity Recognition with TildeNER. | 7 |
| 19 | MT Adaptation for Under-Resourced Domains - What Works and What Not. | 11 |
| 20 | Latvian Text-to-Speech Synthesizer | 3 |
About Mārcis Pinnis
Mārcis Pinnis is a scholar working on Artificial Intelligence, Language and Linguistics and Management Information Systems, having authored 36 papers that have together received 156 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Topic Modeling (21 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (141 citations), Language and Linguistics (34 citations) and Computer Vision and Pattern Recognition (10 citations). Mārcis Pinnis has collaborated with scholars based in United Kingdom, Latvia and Germany. Frequent co-authors include Inguna Skadiņa, Ahmet Aker, Monica Lestari Paramita, Robert Gaizauskas, Radu Ion, Bogdan Babych, Emma Barker, Jan-Thorsten Peter, François Yvon and Georg Rehm. Their work appears in journals such as Language Resources and Evaluation, Terminology International Journal of Theoretical and Applied Issues in Specialized Communication and KI - Künstliche Intelligenz.
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.