Simon Dobnik
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 19
- Topic Modeling 15
- Speech and dialogue systems 5
- Semantic Web and Ontologies 5
- Text Readability and Simplification 4
- Advanced Text Analysis Techniques 3
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- Multimodal Machine Learning Applications 12
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- Constraint Satisfaction and Optimization 3
- Co-authors
- Dietrich Rebholz‐SchuhmannMaria LiakataShyamasree SahaColin BatchelorStergios ChatzikyriakidisMotaz SaadRobin CooperStaffan Larsson
- Journals
- Bioinformatics (1 paper)Language Resources and Evaluation (1 paper)Frontiers in Artificial Intelligence (1 paper)
- Partner nations
- SwedenUnited KingdomPalestinian Territory
In The Last Decade
Simon Dobnik
29 papers receiving 320 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 309
- Computer Vision and Pattern Recognition 50
- Language and Linguistics 20
- Information Systems 33
- Linguistics and Language 6
Countries citing papers authored by Simon Dobnik
This map shows the geographic impact of Simon Dobnik'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 Simon Dobnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Dobnik more than expected).
Fields of papers citing papers by Simon Dobnik
This network shows the impact of papers produced by Simon Dobnik. 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 Simon Dobnik. The network helps show where Simon Dobnik may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Simon Dobnik, 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 | 2024 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 6 | |
| 6 | An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training | 2020 | 26 |
| 7 | 2020 | 1 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 4 | |
| 10 | Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study | 2019 | 14 |
| 11 | 2019 | 9 | |
| 12 | Shami: A Corpus of Levantine Arabic Dialects | 2018 | 35 |
| 13 | 2018 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 15 | |
| 16 | Learning to Compose Spatial Relations with Grounded Neural Language Models | 2017 | 3 |
| 17 | KILLE: learning grounded language through interaction. | 2017 | 1 |
| 18 | 2014 | 5 | |
| 19 | 2013 | 23 | |
| 20 | 2012 | 114 |
About Simon Dobnik
Simon Dobnik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Computer Networks and Communications and Cultural Studies, having authored 32 papers that have together received 361 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (15 papers), Multimodal Machine Learning Applications (12 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (5 papers), Text Readability and Simplification (4 papers), Advanced Text Analysis Techniques (3 papers) and Constraint Satisfaction and Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (309 citations), Computer Vision and Pattern Recognition (50 citations), Language and Linguistics (20 citations), Information Systems (33 citations) and Linguistics and Language (6 citations). Simon Dobnik has collaborated with scholars based in Sweden, United Kingdom and Palestinian Territory. Frequent co-authors include Dietrich Rebholz‐Schuhmann, Maria Liakata, Shyamasree Saha, Colin Batchelor, Stergios Chatzikyriakidis, Motaz Saad, Robin Cooper, Staffan Larsson, Shalom Lappin and John D. Kelleher. Their work appears in journals such as Bioinformatics, Language Resources and Evaluation, Frontiers in Artificial Intelligence, SHILAP Revista de lepidopterología and SPIRE - Sciences Po Institutional REpository.
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.