Gunnar Eriksson
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 7
- Topic Modeling 5
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- Advanced MIMO Systems Optimization 13
- Millimeter-Wave Propagation and Modeling 11
- Aerospace Engineering top 10%
- Antenna Design and Analysis 5
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- Biomedical Text Mining and Ontologies 4
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- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum, superfluid, helium dynamics 5
- Co-authors
- Fredrik TufvessonFredrik OlssonLars AskerAndreas F. MolischMeifang ZhuShurjeel WyneJussi KarlgrenJohan Kåredal
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Gunnar Eriksson
41 papers receiving 448 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 192
- Electrical and Electronic Engineering 228
- Aerospace Engineering 96
- Molecular Biology 153
- Computer Networks and Communications 46
Countries citing papers authored by Gunnar Eriksson
This map shows the geographic impact of Gunnar Eriksson'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 Gunnar Eriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Eriksson more than expected).
Fields of papers citing papers by Gunnar Eriksson
This network shows the impact of papers produced by Gunnar Eriksson. 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 Gunnar Eriksson. The network helps show where Gunnar Eriksson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gunnar Eriksson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | 2012 | 9 | |
| 3 | Features for Modelling Characteristics of Conversations. | 2012 | 7 |
| 4 | Uncertainty Detection as Approximate Max-Margin Sequence Labelling | 2010 | 3 |
| 5 | 2008 | 13 | |
| 6 | SICS at NTCIR-7 MOAT: Constructions represented in parallel with lexical items | 2008 | 2 |
| 7 | 2008 | 39 | |
| 8 | Authors, Genre, and Linguistic Convention | 2007 | 5 |
| 9 | 2007 | 11 | |
| 10 | Potential for MIMO systems at 300 MHz -- Measurements and Analysis | 2006 | 3 |
| 11 | 2005 | 2 | |
| 12 | 2005 | 30 | |
| 13 | 2005 | 21 | |
| 14 | Statistical MIMO Propagation Channel Models - An overview | 2004 | 1 |
| 15 | 2002 | 96 | |
| 16 | 2002 | 38 | |
| 17 | Exploiting Syntax when Detecting Protein Names in Text | 2002 | 19 |
| 18 | The Linguistic Annotation System of the Stockholm - Umea. | 1993 | 1 |
| 19 | Investigation of the time-spread in overdense meteor trails | 1990 | 1 |
| 20 | 1989 | 2 |
About Gunnar Eriksson
Gunnar Eriksson is a scholar working on Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, having authored 42 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Millimeter-Wave Propagation and Modeling (11 papers), Natural Language Processing Techniques (7 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Topic Modeling (5 papers), Quantum, superfluid, helium dynamics (5 papers), Antenna Design and Analysis (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Electrical and Electronic Engineering (228 citations) and Aerospace Engineering (96 citations). Gunnar Eriksson has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Fredrik Tufvesson, Fredrik Olsson, Lars Asker, Andreas F. Molisch, Meifang Zhu, Shurjeel Wyne, Jussi Karlgren, Johan Kåredal, Peter Almers and Peter D. Holm.
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.