Remko Scha

1.9k citations
51 papers · 1.2k · h-index 20

Impact in

Papers in

    • Natural Language Processing Techniques 31
    • Topic Modeling 17
    • Speech and dialogue systems 10
    • Multi-Agent Systems and Negotiation 6
    • Algorithms and Data Compression 5
    • Semantic Web and Ontologies 4
    • Advanced Image and Video Retrieval Techniques 4
    • Image Retrieval and Classification Techniques 4

Remko Scha

47 papers receiving 1.0k citations

Peers

Remko Scha
Comparison fields: 5 of 76
  • Language and Linguistics 427
  • Artificial Intelligence 756
  • Experimental and Cognitive Psychology 178
  • Linguistics and Language 53
  • Computer Vision and Pattern Recognition 225
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Citations per field
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Citations per year

Countries citing papers authored by Remko Scha

Since Specialization
Citations

This map shows the geographic impact of Remko Scha'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 Remko Scha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remko Scha more than expected).

Fields of papers citing papers by Remko Scha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Remko Scha. 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 Remko Scha. The network helps show where Remko Scha may publish in the future.

Co-authors

The 24 scholars most cited alongside Remko Scha, 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 Remko Scha Line = papers co-authored together Remko Scha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 2010100
3
Data-Oriented Parsing
200383
4 200972
5 199960
6 198357
7 198854
8 197750
9
A discourse perspective on verb phrase anaphora
199448
10 199447
11 200946
12 198446
13 199744
14 198442
15 199737
16 198833
17
Logical foundations for question answering
198333
18 198826
19 200222
20
Efficient Disambiguation by means of Stochastic Tree Substitution Grammars
199420

About Remko Scha

Remko Scha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Cultural Studies and Cognitive Neuroscience, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (17 papers), Speech and dialogue systems (10 papers), Multi-Agent Systems and Negotiation (6 papers), Algorithms and Data Compression (5 papers), Semantic Web and Ontologies (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Language and Linguistics (427 citations), Artificial Intelligence (756 citations), Experimental and Cognitive Psychology (178 citations), Linguistics and Language (53 citations) and Computer Vision and Pattern Recognition (225 citations). Remko Scha has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include Livia Polanyi, Rens Bod, Jasper Uijlings, A.W.M. Smeulders, Khalil Sima’an, Martin van den Berg, David Stallard, A. Elsenaar, Mehdi Dastani and Andreas van Cranenburgh. Their work appears in journals such as International Journal of Computer Vision, Journal of Mathematical Psychology, IEEE Transactions on Multimedia, Linguistics and Philosophy and Leonardo Music Journal.

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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