Arul Menezes

2.5k citations
29 papers · 773 · h-index 15

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Semantic Web and Ontologies
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Algorithms and Data Compression
    • Advanced Text Analysis Techniques

Papers in

Arul Menezes

28 papers receiving 609 citations

Peers

Arul Menezes
Comparison fields: 5 of 44
  • Artificial Intelligence 737
  • Language and Linguistics 37
  • Computer Vision and Pattern Recognition 65
  • Health Informatics 4
  • Information Systems 40
Replace David Vilar with:
David Vilar Germany
Rejwanul Haque Ireland
Gregor Leusch Germany
Sara Stymne Sweden
Yajuan Lü China
Hajime Tsukada Japan
Isao Goto Japan
Markus Freitag Germany
Gema Ramírez-Sánchez Spain
Andreas Zollmann United States
Arul Menezes relative to David Vilar Germany David Vilar's profile →
Citations per field
00.5×1.7×
David Vilar · 1×
Citations per year

Countries citing papers authored by Arul Menezes

Since Specialization
Citations

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

Fields of papers citing papers by Arul Menezes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arul Menezes, 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 Arul Menezes Line = papers co-authored together Arul Menezes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005277
2 200154
3
Generative models of noisy translations with applications to parallel fragment extraction
200741
4
Social Text Normalization using Contextual Graph Random Walks
201341
5 200640
6 200129
7
A best-first alignment algorithm for automatic extraction of transfer mappings from bilingual corpora
200129
8 200728
9 200128
10 200623
11
Microsoft Research at RTE-2: Syntactic Contributions in the Entailment Task: an implementation
200523
12 201521
13 202120
14 200516
15 202314
16 200414
17 20079
18 20238
19 20068
20 20088

About Arul Menezes

Arul Menezes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Surgery and Molecular Biology, having authored 29 papers that have together received 773 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (27 papers), Text Readability and Simplification (7 papers), Semantic Web and Ontologies (5 papers), Speech and dialogue systems (5 papers), Multimodal Machine Learning Applications (3 papers), Handwritten Text Recognition Techniques (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (737 citations), Language and Linguistics (37 citations), Computer Vision and Pattern Recognition (65 citations), Health Informatics (4 citations) and Information Systems (40 citations). Arul Menezes has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chris Quirk, Colin Cherry, Stephen D. Richardson, Lucy Vanderwende, Hany Hassan, Rion Snow, William B. Dolan, Vikas Raunak, Hisami Suzuki and Anthony Aue. Their work appears in journals such as Machine Translation, Journal of Hazardous Materials, Infection Prevention in Practice, Meeting of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

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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