Daoud Clarke

11 papers receiving 258 citations

Peers

Daoud Clarke
Comparison fields: 5 of 59
  • Artificial Intelligence 240
  • Information Systems 47
  • Computer Vision and Pattern Recognition 27
  • Molecular Biology 23
  • Sociology and Political Science 20
Replace Stephan Gouws with:
Stephan Gouws South Africa
Linguistic Computing
Daniele Pighin Italy
Jen‐Yuan Yeh Taiwan
David Guthrie United Kingdom
David Uthus United States
Petya Osenova Bulgaria
Yitong Li China
Joachim Daiber Netherlands
Ann Irvine United States
Daoud Clarke relative to Stephan Gouws South Africa Stephan Gouws's profile →
Citations per field
00.5×1.5×1.9×
Stephan Gouws · 1×
Citations per year

Countries citing papers authored by Daoud Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Daoud Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoud Clarke

This figure shows the co-authorship network connecting the top 25 collaborators of Daoud Clarke. A scholar is included among the top collaborators of Daoud Clarke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daoud Clarke. Daoud Clarke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 39
2 2
3
Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language
3
4
Learning to Distinguish Hypernyms and Co-Hyponyms
82
5 1
6 59
7
Developing Robust Models for Favourability Analysis
7
8 36
9
Semantic Composition with Quotient Algebras
3
10 41
11 8

About Daoud Clarke

Daoud Clarke is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 11 papers that have together received 281 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Artificial Intelligence (240 citations), Information Systems (47 citations) and Computational Mathematics (1 citation). Daoud Clarke has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter C. R. Lane, Bill Keller, Jeremy Reffin, David Weir, Julie Weeds, Gabriella Kazai, Robert E. Wall, Matteo Venanzi, Rüdi Lutz and David R. Weir. Their work appears in journals such as Decision Support Systems, Computational Linguistics and KI - Künstliche Intelligenz.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026