Amandalynne Paullada

616 total citations · 1 hit paper
10 papers, 343 citations indexed

About

Amandalynne Paullada is a scholar working on Artificial Intelligence, Communication and Molecular Biology. According to data from OpenAlex, Amandalynne Paullada has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Communication and 2 papers in Molecular Biology. Recurrent topics in Amandalynne Paullada's work include Social Media and Politics (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Amandalynne Paullada is often cited by papers focused on Social Media and Politics (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Amandalynne Paullada collaborates with scholars based in United States, Netherlands and Canada. Amandalynne Paullada's co-authors include Alex Hanna, Emily M. Bender, Emily Denton, Inioluwa Deborah Raji, Ian Kennedy, Sarah Chasins, Rachael Tatman, Emma S. Spiro, Leo G Stewart and Trevor Cohen and has published in prestigious journals such as Social Forces, Journal of Biomedical Informatics and arXiv (Cornell University).

In The Last Decade

Amandalynne Paullada

9 papers receiving 325 citations

Hit Papers

Data and its (dis)contents: A survey of dataset developme... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amandalynne Paullada United States 5 149 58 41 34 24 10 343
Harsha Nori United States 6 224 1.5× 98 1.7× 28 0.7× 31 0.9× 27 1.1× 12 347
Ángel Fernández-Leal Spain 6 157 1.1× 34 0.6× 16 0.4× 32 0.9× 26 1.1× 9 411
José Bobes-Bascarán Spain 4 155 1.0× 36 0.6× 16 0.4× 34 1.0× 21 0.9× 7 383
Ronan Hamon France 9 151 1.0× 78 1.3× 16 0.4× 30 0.9× 30 1.3× 21 376
Süleyman Uslu United States 7 196 1.3× 104 1.8× 28 0.7× 21 0.6× 67 2.8× 10 439
Juan Carlos Nieves Sweden 11 250 1.7× 19 0.3× 27 0.7× 22 0.6× 30 1.3× 72 403
Davinder Kaur United States 5 183 1.2× 104 1.8× 24 0.6× 20 0.6× 57 2.4× 8 401
Ludovik Çoba Italy 5 171 1.1× 31 0.5× 13 0.3× 28 0.8× 58 2.4× 13 267
Marc Goutier Germany 6 74 0.5× 20 0.3× 44 1.1× 9 0.3× 33 1.4× 11 237
Ananya Ganesh United States 5 149 1.0× 29 0.5× 21 0.5× 45 1.3× 34 1.4× 11 366

Countries citing papers authored by Amandalynne Paullada

Since Specialization
Citations

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

Fields of papers citing papers by Amandalynne Paullada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amandalynne Paullada

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

All Works

10 of 10 papers shown
1.
Paullada, Amandalynne, et al.. (2024). Opportunities for incorporating intersectionality into biomedical informatics. Journal of Biomedical Informatics. 154. 104653–104653. 4 indexed citations
2.
Paullada, Amandalynne, et al.. (2022). Behind the Mask: Demographic bias in name detection for PII masking. 76–89. 3 indexed citations
3.
McMillan-Major, Angelina, Amandalynne Paullada, & Yacine Jernite. (2022). An Interactive Exploratory Tool for the Task of Hate Speech Detection. 11–20.
4.
Raji, Inioluwa Deborah, Emily M. Bender, Amandalynne Paullada, Emily Denton, & Alex Hanna. (2021). AI and the Everything in the Whole Wide World Benchmark. arXiv (Cornell University). 11 indexed citations
5.
Paullada, Amandalynne, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, & Alex Hanna. (2020). Data and its (dis)contents: A survey of dataset development and use in machine learning research. arXiv (Cornell University). 287 indexed citations breakdown →
6.
Paullada, Amandalynne, Bethany Percha, & Trevor Cohen. (2020). Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies. 38–48. 5 indexed citations
7.
Kennedy, Ian, et al.. (2020). Racialized Discourse in Seattle Rental Ad Texts. Social Forces. 99(4). 1432–1456. 21 indexed citations
8.
Tatman, Rachael, Leo G Stewart, Amandalynne Paullada, & Emma S. Spiro. (2017). Non-lexical Features Encode Political Affiliation on Twitter. 63–67. 8 indexed citations
9.
Tatman, Rachael & Amandalynne Paullada. (2017). Social Identity and Punctuation Variation in the #BlueLivesMatter and #BlackLivesMatter Twitter Communities. 1 indexed citations
10.
McDonald, David D., et al.. (2016). Extending Biology Models with Deep NLP over Scientific Articles.. National Conference on Artificial Intelligence. 3 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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