Nicholas Gabriel

983 total citations · 1 hit paper
6 papers, 557 citations indexed

About

Nicholas Gabriel is a scholar working on Artificial Intelligence, Sociology and Political Science and Health. According to data from OpenAlex, Nicholas Gabriel has authored 6 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 2 papers in Health. Recurrent topics in Nicholas Gabriel's work include Misinformation and Its Impacts (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Nicholas Gabriel is often cited by papers focused on Misinformation and Its Impacts (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Nicholas Gabriel collaborates with scholars based in United States, Finland and Bulgaria. Nicholas Gabriel's co-authors include Nicolás Velásquez, Nicholas J. Restrepo, Neil F. Johnson, Rhys Leahy, Yonatan Lupu, Sara El Oud, Stefan Wuchty, Minzhang Zheng, Pedro D. Manrique and Richard Sear and has published in prestigious journals such as Nature, Scientific Reports and IEEE Access.

In The Last Decade

Nicholas Gabriel

5 papers receiving 523 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The online competition between pro- and anti-vaccination views

2020 421 citations Neil F. Johnson, Nicolás Velásquez et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Gabriel United States	4	362	286	147	94	63	6	557
Sara El Oud United States	5	326 0.9×	283 1.0×	121 0.8×	94 1.0×	54 0.9×	7	548
Rhys Leahy United States	7	481 1.3×	322 1.1×	231 1.6×	100 1.1×	98 1.6×	10	751
Nicholas J. Restrepo United States	8	497 1.4×	326 1.1×	234 1.6×	101 1.1×	102 1.6×	15	775
Pedro D. Manrique United States	10	481 1.3×	284 1.0×	158 1.1×	105 1.1×	153 2.4×	36	810
Mohammad Ariful Islam Bangladesh	6	448 1.2×	201 0.7×	126 0.9×	83 0.9×	34 0.5×	17	714
Beth Goldberg United States	9	456 1.3×	319 1.1×	122 0.8×	108 1.1×	21 0.3×	19	664
Nicolás Velásquez United States	10	565 1.6×	329 1.2×	245 1.7×	105 1.1×	130 2.1×	15	891
Bert Baumgaertner United States	11	266 0.7×	278 1.0×	59 0.4×	80 0.9×	44 0.7×	26	608
Lulwah Alkulaib United States	4	526 1.5×	290 1.0×	215 1.5×	56 0.6×	50 0.8×	11	694
Tonmoy Sarkar Australia	2	636 1.8×	437 1.5×	167 1.1×	204 2.2×	42 0.7×	4	1.0k

Countries citing papers authored by Nicholas Gabriel

Since Specialization

Citations

This map shows the geographic impact of Nicholas Gabriel'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 Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Gabriel more than expected).

Fields of papers citing papers by Nicholas Gabriel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Gabriel. 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 Gabriel. The network helps show where Nicholas Gabriel may publish in the future.

Co-authorship network of co-authors of Nicholas Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Gabriel. A scholar is included among the top collaborators of Nicholas Gabriel 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 Gabriel. Nicholas Gabriel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Gabriel, Nicholas, David Broniatowski, & Neil Johnson. (2023). Inductive detection of influence operations via graph learning. Scientific Reports. 13(1). 22571–22571. 6 indexed citations

2.

Gabriel, Nicholas & Neil F. Johnson. (2022). Using Neural Architectures to Model Complex Dynamical Systems. 2(2). 366–384.

3.

Velásquez, Nicolás, Rhys Leahy, Nicholas J. Restrepo, et al.. (2021). Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms. Scientific Reports. 11(1). 11549–11549. 44 indexed citations

4.

Sear, Richard, Nicolás Velásquez, Rhys Leahy, et al.. (2020). Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning. IEEE Access. 8. 91886–91893. 84 indexed citations

5.

Johnson, Neil F., Nicolás Velásquez, Nicholas J. Restrepo, et al.. (2020). The online competition between pro- and anti-vaccination views. Nature. 582(7811). 230–233. 421 indexed citations breakdown →

6.

Gabriel, Nicholas. (2013). A Study of Relationships Among Three Assessment Methods for Nurse Anesthetists. eScholarship (California Digital Library). 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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