Simon Dobnik

853 citations
43 papers · 529 · h-index 12

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Speech and dialogue systems
    • Text and Document Classification Technologies

Papers in

Simon Dobnik

37 papers receiving 463 citations

Peers

Simon Dobnik
Comparison fields: 5 of 50
  • Artificial Intelligence 440
  • Language and Linguistics 48
  • Computer Vision and Pattern Recognition 72
  • Linguistics and Language 15
  • Experimental and Cognitive Psychology 32
Replace Tim Van de Cruys with:
Tim Van de Cruys France
Péter Halácsy Hungary
Martin Reynaert Netherlands
Viktor Trón United Kingdom
Alexis Palmer United States
Shruti Rijhwani United States
Julie Weeds United Kingdom
Vincent B. Y. Ooi Singapore
F.A. Grootjen Netherlands
Beáta Megyesi Sweden
Simon Dobnik relative to Tim Van de Cruys France Tim Van de Cruys's profile →
Citations per field
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Tim Van de Cruys · 1×
Citations per year

Countries citing papers authored by Simon Dobnik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 23 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.

Border = papers with Simon Dobnik Line = papers co-authored together Simon Dobnik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012134
2 201842
3 201839
4 201935
5 201530
6
An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training
202027
7 201323
8 201423
9 201322
10 201019
11 201717
12
Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study
201916
13 201910
14 20218
15 20188
16 20187
17 20147
18 20187
19 20206
20 20165

About Simon Dobnik

Simon Dobnik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Cultural Studies and Computer Networks and Communications, having authored 43 papers that have together received 529 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Multimodal Machine Learning Applications (15 papers), Topic Modeling (14 papers), Speech and dialogue systems (10 papers), Semantic Web and Ontologies (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Text Readability and Simplification (4 papers) and Language, Metaphor, and Cognition (4 papers). The work is most often cited by research in Artificial Intelligence (440 citations), Language and Linguistics (48 citations), Computer Vision and Pattern Recognition (72 citations), Linguistics and Language (15 citations) and Experimental and Cognitive Psychology (32 citations). Simon Dobnik has collaborated with scholars based in Sweden, United Kingdom and China. Frequent co-authors include Stergios Chatzikyriakidis, Motaz Saad, Shyamasree Saha, Colin Batchelor, Maria Liakata, Dietrich Rebholz‐Schuhmann, Robin Cooper, Staffan Larsson, Shalom Lappin and John D. Kelleher. Their work appears in journals such as Bioinformatics, Language Resources and Evaluation, Lecture notes in computer science, Frontiers in Artificial Intelligence and Communications in computer and information science.

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.

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