Nicholas FitzGerald
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Control and Systems Engineering
- Information Systems
- Co-authors
- Luke ZettlemoyerDieter FoxCynthia MatuszekLiefeng BoKuzman GanchevDipanjan DasOscar TäckströmYoav Artzi
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (7 papers)Bacterial Infections and Vaccines (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Nicholas FitzGerald
14 papers receiving 256 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 116
- Molecular Biology 24
- Control and Systems Engineering 14
- Information Systems 9
Countries citing papers authored by Nicholas FitzGerald
This map shows the geographic impact of Nicholas FitzGerald'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 Nicholas FitzGerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas FitzGerald more than expected).
Fields of papers citing papers by Nicholas FitzGerald
This network shows the impact of papers produced by Nicholas FitzGerald. 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 Nicholas FitzGerald. The network helps show where Nicholas FitzGerald may publish in the future.
Co-authorship network of co-authors of Nicholas FitzGerald
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas FitzGerald. A scholar is included among the top collaborators of Nicholas FitzGerald 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 Nicholas FitzGerald. Nicholas FitzGerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking | 6 |
| 7 | Learning Entity Representations for Few-Shot Reconstruction of Wikipedia Categories | 2 |
| 8 | 2 | |
| 9 | 70 | |
| 10 | 34 | |
| 11 | Semantic Parsing with Combinatory Categorial Grammars | 11 |
| 12 | 6 | |
| 13 | 122 | |
| 14 | User-adaptive visualizations: can gaze data tell us when a user needs them? | 2 |
About Nicholas FitzGerald
Nicholas FitzGerald is a scholar working on Microbiology, Communication and History and Philosophy of Science, having authored 14 papers that have together received 268 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Artificial Intelligence (221 citations), Computer Vision and Pattern Recognition (116 citations) and Human-Computer Interaction (4 citations). Nicholas FitzGerald has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Luke Zettlemoyer, Dieter Fox, Cynthia Matuszek, Liefeng Bo, Kuzman Ganchev, Dipanjan Das, Oscar Täckström, Yoav Artzi, Jan Wildenhain and Tom Kwiatkowski. Their work appears in journals such as Bioinformatics, Infection and Immunity and Behavioral Ecology and Sociobiology.
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.