Nicholas FitzGerald

48 total papers · 2.4k total citations
14 papers, 265 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 265 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, Dieter Fox, Cynthia Matuszek, Liefeng Bo, Dipanjan Das, Oscar Täckström, Kuzman Ganchev, Yoav Artzi, Jan Wildenhain and Tom Kwiatkowski 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 253 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicholas FitzGerald 221 115 23 14 8 14 265
Ravi Shekhar 173 0.8× 128 1.1× 5 0.2× 7 0.5× 13 1.6× 20 285
Jan Buys 242 1.1× 75 0.7× 12 0.5× 6 0.4× 26 3.3× 19 264
Dzmitry Bahdanau 145 0.7× 60 0.5× 18 0.8× 8 0.6× 7 0.9× 17 194
Gongbo Tang 192 0.9× 91 0.8× 18 0.8× 4 0.3× 22 2.8× 13 266
Chi Sun 256 1.2× 23 0.2× 11 0.5× 10 0.7× 18 2.3× 10 291
Tagyoung Chung 221 1.0× 38 0.3× 15 0.7× 3 0.2× 11 1.4× 22 236
Beichen Zhang 175 0.8× 142 1.2× 6 0.3× 8 0.6× 13 1.6× 18 278
Zhe Li 63 0.3× 163 1.4× 21 0.9× 9 0.6× 6 0.8× 17 215
Jinheon Baek 132 0.6× 37 0.3× 13 0.6× 5 0.4× 28 3.5× 19 178
Siqu Long 118 0.5× 74 0.6× 15 0.7× 4 0.3× 17 2.1× 13 176

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

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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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