Pik-Mai Hui

32 total papers · 1.7k total citations
15 papers, 931 citations indexed

About

Pik-Mai Hui is a scholar working on Sociology and Political Science, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Pik-Mai Hui has authored 15 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 8 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Pik-Mai Hui's work include Misinformation and Its Impacts (9 papers), Spam and Phishing Detection (6 papers) and Complex Network Analysis Techniques (5 papers). Pik-Mai Hui is often cited by papers focused on Misinformation and Its Impacts (9 papers), Spam and Phishing Detection (6 papers) and Complex Network Analysis Techniques (5 papers). Pik-Mai Hui collaborates with scholars based in United States, China and United Kingdom. Pik-Mai Hui's co-authors include Filippo Menczer, Kai‐Cheng Yang, Tien Thanh Nguyen, Onur Varol, Loren Terveen, Joseph A. Konstan, F. Maxwell Harper, Alessandro Flammini, Christopher Torres-Lugo and Chengcheng Shao and has published in prestigious journals such as PLoS ONE, Journal of Bone and Joint Surgery and IEEE Access.

In The Last Decade

Pik-Mai Hui

15 papers receiving 885 citations

Hit Papers

Exploring the filter bubble 2014 2026 2018 2022 2014 2020 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Pik-Mai Hui 585 437 301 204 172 15 931
Liang Wu 598 1.0× 535 1.2× 575 1.9× 118 0.6× 231 1.3× 44 1.1k
Naeemul Hassan 469 0.8× 272 0.6× 402 1.3× 118 0.6× 40 0.2× 37 825
Hemank Lamba 441 0.8× 315 0.7× 299 1.0× 143 0.7× 158 0.9× 36 814
Elena Zheleva 347 0.6× 215 0.5× 400 1.3× 53 0.3× 164 1.0× 37 799
Aditi Gupta 666 1.1× 498 1.1× 298 1.0× 197 1.0× 230 1.3× 37 969
Anikó Hannák 703 1.2× 246 0.6× 338 1.1× 317 1.6× 101 0.6× 26 1.2k
Jürgen Lerner 366 0.6× 114 0.3× 222 0.7× 196 1.0× 435 2.5× 43 1.2k
Mark Tremayne 559 1.0× 194 0.4× 316 1.0× 404 2.0× 107 0.6× 22 968
Daniel Gayo-Avello 443 0.8× 181 0.4× 395 1.3× 442 2.2× 323 1.9× 26 1.1k
Giancarlo Ruffo 330 0.6× 282 0.6× 397 1.3× 107 0.5× 198 1.2× 70 977

Countries citing papers authored by Pik-Mai Hui

Since Specialization
Citations

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

Fields of papers citing papers by Pik-Mai Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pik-Mai Hui. 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 Pik-Mai Hui. The network helps show where Pik-Mai Hui may publish in the future.

Co-authorship network of co-authors of Pik-Mai Hui

This figure shows the co-authorship network connecting the top 25 collaborators of Pik-Mai Hui. A scholar is included among the top collaborators of Pik-Mai Hui 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 Pik-Mai Hui. Pik-Mai Hui 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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