Rob Malouf
Impact in
- Language and Linguistics top 5%
- Syntax, Semantics, Linguistic Variation
- Linguistics and Language top 10%
- Linguistic Variation and Morphology
Papers in
-
- Natural Language Processing Techniques 4
- Algorithms and Data Compression 1
- Topic Modeling 1
- Multi-Agent Systems and Negotiation 1
-
- Syntax, Semantics, Linguistic Variation 3
- linguistics and terminology studies 1
- Co-authors
- Gertjan van Noord (1 shared paper)Gosse Bouma (1 shared paper)Bernd Kiefer (1 shared paper)John Carroll (1 shared paper)Hans‐Ulrich Krieger (1 shared paper)Dan Flickinger (1 shared paper)Ivan A. Sag (1 shared paper)Ann Copestake (1 shared paper)
- Journals
- OpenGrey (Institut de l'Information Scientifique et Technique) (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Rob Malouf
4 papers receiving 234 citations
Peers
Comparison fields: 5 of 29
- Language and Linguistics 86
- Linguistics and Language 31
- Artificial Intelligence 218
- Software 5
- Experimental and Cognitive Psychology 14
Countries citing papers authored by Rob Malouf
This map shows the geographic impact of Rob Malouf'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 Rob Malouf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Malouf more than expected).
Fields of papers citing papers by Rob Malouf
This network shows the impact of papers produced by Rob Malouf. 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 Rob Malouf. The network helps show where Rob Malouf may publish in the future.
Co-authors
The 17 scholars most cited alongside Rob Malouf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 143 | |
| 2 | 1999 | 60 | |
| 3 | Constructions and Mixed Categories: Determining the semantic interpretation of person/number marking1 | 1998 | 56 |
| 4 | Translation using Minimal Recursion Semantics | 2006 | 27 |
About Rob Malouf
Rob Malouf is a scholar working on Artificial Intelligence, Language and Linguistics, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 286 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Syntax, Semantics, Linguistic Variation (3 papers), Algorithms and Data Compression (1 paper), semigroups and automata theory (1 paper), Topic Modeling (1 paper), linguistics and terminology studies (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Language and Linguistics (86 citations), Linguistics and Language (31 citations), Artificial Intelligence (218 citations), Software (5 citations) and Experimental and Cognitive Psychology (14 citations). Rob Malouf has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gertjan van Noord, Gosse Bouma, Bernd Kiefer, John Carroll, Hans‐Ulrich Krieger, Dan Flickinger, Ivan A. Sag, Ann Copestake, Susanne Z. Riehemann and Farrell Ackerman. Their work appears in journals such as OpenGrey (Institut de l'Information Scientifique et Technique) and Data Archiving and Networked Services (DANS).
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.