Kais Dukes

460 total citations
11 papers, 281 citations indexed

About

Kais Dukes is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Kais Dukes has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 1 paper in Information Systems. Recurrent topics in Kais Dukes's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (3 papers). Kais Dukes is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (3 papers). Kais Dukes collaborates with scholars based in United Kingdom and United States. Kais Dukes's co-authors include Nizar Habash, Eric Atwell, Tim Buckwalter, Majdi Sawalha and Wajdi Zaghouani and has published in prestigious journals such as Language Resources and Evaluation, White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and Recent Advances in Natural Language Processing.

In The Last Decade

Kais Dukes

11 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kais Dukes United Kingdom	7	237	45	33	24	24	11	281
Majdi Sawalha Jordan	9	200 0.8×	33 0.7×	20 0.6×	18 0.8×	28 1.2×	29	238
Giovanni Moretti Italy	9	172 0.7×	37 0.8×	7 0.2×	19 0.8×	12 0.5×	29	246
Ali Farghaly United States	6	353 1.5×	80 1.8×	11 0.3×	29 1.2×	24 1.0×	16	398
Abdelhak Lakhouaja Morocco	10	271 1.1×	58 1.3×	23 0.7×	13 0.5×	18 0.8×	25	338
William Corvey United States	8	105 0.4×	34 0.8×	12 0.4×	55 2.3×	14 0.6×	9	194
Ines Rehbein Germany	12	401 1.7×	29 0.6×	4 0.1×	11 0.5×	53 2.2×	58	449
Bashar Talafha Jordan	9	393 1.7×	53 1.2×	8 0.2×	35 1.5×	8 0.3×	21	433
Siew Mei Wu Singapore	5	580 2.4×	48 1.1×	13 0.4×	5 0.2×	19 0.8×	9	624
Fidelia Ibekwe-Sanjuan France	9	117 0.5×	61 1.4×	4 0.1×	29 1.2×	30 1.3×	40	216
Lena Dankin Israel	7	276 1.2×	89 2.0×	4 0.1×	22 0.9×	5 0.2×	13	310

Countries citing papers authored by Kais Dukes

Since Specialization

Citations

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

Fields of papers citing papers by Kais Dukes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kais Dukes

This figure shows the co-authorship network connecting the top 25 collaborators of Kais Dukes. A scholar is included among the top collaborators of Kais Dukes 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 Kais Dukes. Kais Dukes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Dukes, Kais. (2014). SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands. 45–53. 14 indexed citations

2.

Zaghouani, Wajdi & Kais Dukes. (2014). Can Crowdsourcing be used for Effective Annotation of Arabic?. Language Resources and Evaluation. 224–228. 6 indexed citations

3.

Atwell, Eric, et al.. (2013). Unifying linguistic annotations and ontologies for the Arabic Quran. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations

4.

Dukes, Kais & Eric Atwell. (2012). LAMP: A Multimodal Web Platform for Collaborative Linguistic Analysis. Language Resources and Evaluation. 3268–3275. 9 indexed citations

5.

Dukes, Kais & Nizar Habash. (2011). One-Step Statistical Parsing of Hybrid Dependency-Constituency Syntactic Representations. 92–103. 3 indexed citations

6.

Atwell, Eric, et al.. (2011). An Artificial Intelligence Approach to Arabic and Islamic Content on the Internet. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 39 indexed citations

7.

Dukes, Kais, Eric Atwell, & Nizar Habash. (2011). Supervised collaboration for syntactic annotation of Quranic Arabic. Language Resources and Evaluation. 47(1). 33–62. 56 indexed citations

8.

Dukes, Kais, et al.. (2010). Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank.. Language Resources and Evaluation. 28 indexed citations

9.

Dukes, Kais & Nizar Habash. (2010). Morphological Annotation of Quranic Arabic. Language Resources and Evaluation. 143. 2530–2536. 78 indexed citations

10.

Dukes, Kais & Tim Buckwalter. (2010). A Dependency Treebank of the Quran using traditional Arabic grammar. 1–7. 43 indexed citations

11.

Dukes, Kais. (2009). LOGICON: A System for Extracting Semantic Structure using Partial Parsing. Recent Advances in Natural Language Processing. 18–22. 3 indexed citations

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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