Arul Menezes
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Information Systems
- Language and Linguistics top 10%
- Co-authors
- Chris QuirkColin CherryStephen D. RichardsonLucy VanderwendeHany HassanRion SnowWilliam B. DolanVikas Raunak
- Topics
- Topic Modeling (27 papers)Natural Language Processing Techniques (27 papers)Text Readability and Simplification (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Arul Menezes
28 papers receiving 599 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 738
- Computer Vision and Pattern Recognition 65
- Molecular Biology 45
- Information Systems 41
- Language and Linguistics 37
Countries citing papers authored by Arul Menezes
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
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-authorship network of co-authors of Arul Menezes
This figure shows the co-authorship network connecting the top 25 collaborators of Arul Menezes. A scholar is included among the top collaborators of Arul Menezes 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 Arul Menezes. Arul Menezes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 18 | |
| 8 | Social Text Normalization using Contextual Graph Random Walks | 41 |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 23 | |
| 15 | 16 | |
| 16 | 276 | |
| 17 | 14 | |
| 18 | 7 | |
| 19 | 29 | |
| 20 | 28 |
About Arul Menezes
Arul Menezes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 29 papers that have together received 766 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (27 papers) and Text Readability and Simplification (7 papers). The work is most often cited by research in Artificial Intelligence (738 citations), Health Informatics (9 citations) and Language and Linguistics (37 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 Journal of Hazardous Materials, Machine Translation and Infection Prevention in Practice.
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.