Nicholas FitzGerald

2.5k total citations
14 papers, 268 citations indexed

About

Nicholas FitzGerald is a scholar working on Artificial Intelligence, Molecular Biology and Microbiology. According to data from OpenAlex, Nicholas FitzGerald has authored 14 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Microbiology. Recurrent topics in Nicholas FitzGerald's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Bacterial Infections and Vaccines (3 papers). Nicholas FitzGerald is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Bacterial Infections and Vaccines (3 papers). Nicholas FitzGerald collaborates with scholars based in United States, Canada and Australia. Nicholas FitzGerald's co-authors include Luke Zettlemoyer, Liefeng Bo, Dieter Fox, Cynthia Matuszek, Dipanjan Das, Kuzman Ganchev, Oscar Täckström, Yoav Artzi, Mike Tyers and Jan Wildenhain and has published in prestigious journals such as Bioinformatics, Infection and Immunity and Behavioral Ecology and Sociobiology.

In The Last Decade

Nicholas FitzGerald

14 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas FitzGerald United States 6 221 116 24 14 9 14 268
Jan Buys United Kingdom 6 243 1.1× 75 0.6× 12 0.5× 6 0.4× 26 2.9× 19 265
Dzmitry Bahdanau Canada 7 149 0.7× 63 0.5× 18 0.8× 8 0.6× 7 0.8× 17 199
Chi Sun China 5 256 1.2× 24 0.2× 11 0.5× 11 0.8× 18 2.0× 10 292
Gema Ramírez-Sánchez Spain 8 362 1.6× 66 0.6× 13 0.5× 3 0.2× 27 3.0× 13 384
Tagyoung Chung United States 9 221 1.0× 38 0.3× 15 0.6× 3 0.2× 11 1.2× 23 237
Jinheon Baek South Korea 6 142 0.6× 38 0.3× 14 0.6× 5 0.4× 30 3.3× 19 194
Weinan Zhang China 11 360 1.6× 80 0.7× 11 0.5× 4 0.3× 19 2.1× 31 393
Felipe Sánchez-Martínez Spain 10 488 2.2× 59 0.5× 14 0.6× 9 0.6× 41 4.6× 62 532
Jiaxi Wu China 6 87 0.4× 95 0.8× 9 0.4× 15 1.1× 2 0.2× 13 157
Ramakanth Pasunuru United States 9 227 1.0× 69 0.6× 13 0.5× 7 0.5× 22 2.4× 22 264

Countries citing papers authored by Nicholas FitzGerald

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
2.
Wolf, M. Allison, Nicholas FitzGerald, Katherine J. Lee, et al.. (2024). BECC438b TLR4 agonist supports unique immune response profiles from nasal and muscular DTaP pertussis vaccines in murine challenge models. Infection and Immunity. 92(3). e0022323–e0022323. 3 indexed citations
3.
FitzGerald, Nicholas, et al.. (2024). Immunization with an mRNA DTP vaccine protects against pertussis in rats. Infection and Immunity. 92(8). e0052023–e0052023. 3 indexed citations
4.
5.
Jong, Michiel de, Yury Zemlyanskiy, Joshua Ainslie, et al.. (2023). FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. 11534–11547. 5 indexed citations
6.
Févry, Thibault, Nicholas FitzGerald, Livio Baldini Soares, & Tom Kwiatkowski. (2020). Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. 6 indexed citations
7.
Ling, Jeffrey, Nicholas FitzGerald, Livio Baldini Soares, David J. Weiss, & Tom Kwiatkowski. (2019). Learning Entity Representations for Few-Shot Reconstruction of Wikipedia Categories. 2 indexed citations
8.
Smart, Scott, et al.. (2016). Determining the Financial Cost of Scholarly Book Publishing. Journal of Electronic Publishing. 19(1). 2 indexed citations
9.
FitzGerald, Nicholas, Oscar Täckström, Kuzman Ganchev, & Dipanjan Das. (2015). Semantic Role Labeling with Neural Network Factors. 70 indexed citations
10.
Artzi, Yoav, Nicholas FitzGerald, & Luke Zettlemoyer. (2013). Semantic Parsing with Combinatory Categorial Grammars. Meeting of the Association for Computational Linguistics. 2–2. 11 indexed citations
11.
FitzGerald, Nicholas, Yoav Artzi, & Luke Zettlemoyer. (2013). Learning Distributions over Logical Forms for Referring Expression Generation. 1914–1925. 34 indexed citations
12.
Wildenhain, Jan, Nicholas FitzGerald, & Mike Tyers. (2012). MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models. Bioinformatics. 28(16). 2200–2201. 6 indexed citations
13.
Matuszek, Cynthia, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, & Dieter Fox. (2012). A Joint Model of Language and Perception for Grounded Attribute Learning. arXiv (Cornell University). 1435–1442. 122 indexed citations
14.
Conati, Cristina, et al.. (2011). User-adaptive visualizations: can gaze data tell us when a user needs them?. National Conference on Artificial Intelligence. 8–11. 2 indexed citations

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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