Remko Scha

1.9k citations
45 papers · 788 indexed · h-index 17

Remko Scha

40 papers receiving 642 citations

Peers

Remko Scha
Comparison fields: 5 of 68
  • Artificial Intelligence 514
  • Language and Linguistics 165
  • Computer Vision and Pattern Recognition 185
  • Experimental and Cognitive Psychology 59
  • Linguistics and Language 17
Replace Manfred Pinkal with:
Manfred Pinkal Germany
Annette Herskovits United States
Ivana Kruijff‐Korbayová Germany
Chuck Wooters United States
Caroline Sporleder Germany
Scott Prevost United States
Afsaneh Fazly Canada
Kees van Deemter United Kingdom
Ning Jiang China
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Remko Scha relative to Manfred Pinkal Germany Manfred Pinkal's profile →
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-authorship network

The 21 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
#Work
1
A probabilistic approach to Lexical-Functional Grammar
20140
2 20141
3
Learning from errors: Using vector-based compositional semantics for parse reranking
20133
4 201087
5 20096
6 200958
7
On the statistical consistency of DOP estimators
20048
8
Data-Oriented Parsing
200371
9
Algoritmische architectuur is toegepaste toevalskunst
20030
10 20033
11
Parse Tree Probability in Data Oriented Parsing
20003
12 199926
13
A Data-Oriented Approach to Semantic Interpretation
19966
14
The Visual grammar of Information Graphics
19965
15
Prediction and Disambiguation by means of Data-Oriented Parsing
19943
16
A discourse approach to verb phrase anaphora
19902
17
An augmented context free grammar.
19884
18 198435
19 198343
20 19824

About Remko Scha

Remko Scha is a scholar working on Artificial Intelligence, Theoretical Computer Science, Cultural Studies, Language and Linguistics and Museology, having authored 45 papers that have together received 788 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (15 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 Artificial Intelligence (514 citations), Language and Linguistics (165 citations), Computer Vision and Pattern Recognition (185 citations), Experimental and Cognitive Psychology (59 citations) and Linguistics and Language (17 citations). Remko Scha has collaborated with scholars based in Netherlands. Frequent co-authors include Livia Polanyi, A.W.M. Smeulders, Jasper Uijlings, Rens Bod, Khalil Sima’an, Martin van den Berg, A. Elsenaar, David Stallard, Andreas van Cranenburgh and Mehdi Dastani. Their work appears in journals such as IEEE Transactions on Multimedia, Leonardo Music Journal, Linguistics and Philosophy, International Journal of Computer Vision and Journal of Mathematical Psychology.

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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