Louise Guthrie
- Artificial Intelligence top 2%
- Information Systems top 5%
- Language and Linguistics top 5%
- Molecular Biology
- Signal Processing
- Co-authors
- Yorick WilksJoe GuthrieBen AllisonBrian M. SlatorDavid GuthrieJim CowieWei LiuRebecca Bruce
- Topics
- Natural Language Processing Techniques (24 papers)Topic Modeling (17 papers)Lexicography and Language Studies (9 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Louise Guthrie
36 papers receiving 623 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 670
- Information Systems 136
- Language and Linguistics 83
- Molecular Biology 51
- Signal Processing 38
Countries citing papers authored by Louise Guthrie
This map shows the geographic impact of Louise Guthrie'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 Louise Guthrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Guthrie more than expected).
Fields of papers citing papers by Louise Guthrie
This network shows the impact of papers produced by Louise Guthrie. 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 Louise Guthrie. The network helps show where Louise Guthrie may publish in the future.
Co-authorship network of co-authors of Louise Guthrie
This figure shows the co-authorship network connecting the top 25 collaborators of Louise Guthrie. A scholar is included among the top collaborators of Louise Guthrie 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 Louise Guthrie. Louise Guthrie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | LIE: Leadership, Influence and Expertise | 2 |
| 2 | Evaluating Lexical Substitution: Analysis and New Measures. | 1 |
| 3 | Evaluation Metrics for the Lexical Substitution Task | 2 |
| 4 | An Unsupervised Probabilistic Approach for the Detection of Outliers in Corpora. | 3 |
| 5 | Authorship Attribution of E-Mail: Comparing Classifiers over a New Corpus for Evaluation | 11 |
| 6 | Unsupervised Learning-based Anomalous Arabic Text Detection | 5 |
| 7 | Using a Probabilistic Model of Context to Detect Word Obfuscation | 6 |
| 8 | Professor or Screaming Beast? Detecting Anomalous Words in Chinese. | 5 |
| 9 | Unsupervised anomaly detection | 26 |
| 10 | 3 | |
| 11 | A Closer Look at Skip-gram Modelling | 153 |
| 12 | Large Scale Experiments for Semantic Labeling of Noun Phrases in Raw Text. | 0 |
| 13 | Using HLT for Acquiring, Retrieving and Publishing Knowledge in AKT | 2 |
| 14 | Electric words dictionaries, computers, and meanings | 79 |
| 15 | 26 | |
| 16 | Natural Language Information Retrieval TREC-6 Report. | 55 |
| 17 | The Use of Machine Readable Dictionaries in the Pangloss Project | 9 |
| 18 | 2 | |
| 19 | Combining weak methods in large scale text processing | 3 |
| 20 | Subject-Dependent Co-Occurence and Word Sense Disambiguation. | 12 |
About Louise Guthrie
Louise Guthrie is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems, having authored 40 papers that have together received 761 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (17 papers) and Lexicography and Language Studies (9 papers). The work is most often cited by research in Artificial Intelligence (670 citations), Language and Linguistics (83 citations) and Information Systems (136 citations). Louise Guthrie has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Yorick Wilks, Joe Guthrie, Ben Allison, Brian M. Slator, David Guthrie, Jim Cowie, Wei Liu, Rebecca Bruce, David Farwell and Tomek Strzalkowski. Their work appears in journals such as Communications of the ACM, Language Resources and Evaluation and Machine Translation.
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.