Hansen Andrew Schwartz

1.2k total citations · 1 hit paper
14 papers, 629 citations indexed

About

Hansen Andrew Schwartz is a scholar working on Artificial Intelligence, Social Psychology and Health. According to data from OpenAlex, Hansen Andrew Schwartz has authored 14 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Social Psychology and 2 papers in Health. Recurrent topics in Hansen Andrew Schwartz's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (3 papers). Hansen Andrew Schwartz is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (3 papers). Hansen Andrew Schwartz collaborates with scholars based in United States, United Kingdom and Australia. Hansen Andrew Schwartz's co-authors include Lyle Ungar, Margaret L. Kern, Johannes C. Eichstaedt, Gregory Park, Maarten Sap, Martin E. P. Seligman, Lukasz Dziurzynski, Raina M. Merchant, Sneha Jha and Megha Agrawal and has published in prestigious journals such as PLoS ONE, Psychological Science and Alcoholism Clinical and Experimental Research.

In The Last Decade

Hansen Andrew Schwartz

14 papers receiving 589 citations

Hit Papers

Psychological Language on Twitter Predicts County-Level H... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hansen Andrew Schwartz United States 7 232 225 169 92 81 14 629
Sneha Jha India 6 93 0.4× 127 0.6× 122 0.7× 69 0.8× 50 0.6× 23 441
Garrick Sherman United States 10 114 0.5× 118 0.5× 167 1.0× 73 0.8× 53 0.7× 36 431
Emily Larson United States 4 71 0.3× 119 0.5× 111 0.7× 69 0.8× 46 0.6× 7 360
Salvatore Giorgi United States 18 289 1.2× 372 1.7× 442 2.6× 177 1.9× 139 1.7× 75 1.3k
Jérôme Azé France 15 175 0.8× 164 0.7× 69 0.4× 32 0.3× 40 0.5× 49 652
Laura Smith United States 8 143 0.6× 213 0.9× 99 0.6× 27 0.3× 22 0.3× 14 509
Scott H. Burton United States 11 187 0.8× 217 1.0× 420 2.5× 320 3.5× 209 2.6× 18 1.1k
Sijia Yang United States 15 83 0.4× 116 0.5× 235 1.4× 64 0.7× 150 1.9× 57 817
Christopher M. Homan United States 13 205 0.9× 162 0.7× 160 0.9× 35 0.4× 28 0.3× 48 611
Sindhu Kiranmai Ernala United States 12 131 0.6× 298 1.3× 251 1.5× 43 0.5× 44 0.5× 24 665

Countries citing papers authored by Hansen Andrew Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Hansen Andrew Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hansen Andrew Schwartz. 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 Hansen Andrew Schwartz. The network helps show where Hansen Andrew Schwartz may publish in the future.

Co-authorship network of co-authors of Hansen Andrew Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Hansen Andrew Schwartz. A scholar is included among the top collaborators of Hansen Andrew Schwartz 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 Hansen Andrew Schwartz. Hansen Andrew Schwartz 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.
Schwartz, Hansen Andrew, et al.. (2024). Language-based EMA assessments help understand problematic alcohol consumption. PLoS ONE. 19(3). e0298300–e0298300. 2 indexed citations
2.
Jose, Rupa, Garrick Sherman, Brenda Curtis, et al.. (2022). Using Facebook language to predict and describe excessive alcohol use. Alcoholism Clinical and Experimental Research. 46(5). 836–847. 6 indexed citations
3.
Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Margaret L. Kern, et al.. (2021). Characterizing Geographic Variation in Well-Being Using Tweets. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 583–591. 37 indexed citations
4.
Padrez, Kevin, Lyle Ungar, Hansen Andrew Schwartz, et al.. (2015). Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Quality & Safety. 25(6). 414–423. 51 indexed citations
5.
Eichstaedt, Johannes C., Hansen Andrew Schwartz, Margaret L. Kern, et al.. (2015). Psychological Language on Twitter Predicts County-Level Heart Disease Mortality. Psychological Science. 26(2). 159–169. 322 indexed citations breakdown →
6.
Sap, Maarten, Gregory Park, Johannes C. Eichstaedt, et al.. (2014). Developing Age and Gender Predictive Lexica over Social Media. 1146–1151. 148 indexed citations
7.
Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Eduardo Blanco, et al.. (2013). Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. Joint Conference on Lexical and Computational Semantics. 1. 296–305. 16 indexed citations
8.
Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Lukasz Dziurzynski, et al.. (2013). Toward Personality Insights from Language Exploration in Social Media. 25 indexed citations
9.
Jha, Sneha, Hansen Andrew Schwartz, & Lyle Ungar. (2012). Penn: Using Word Similarities to better Estimate Sentence Similarity. 679–683. 1 indexed citations
10.
Schwartz, Hansen Andrew & Fernando Gómez. (2010). UCF-WS: Domain Word Sense Disambiguation Using Web Selectors. Journal of International Crisis and Risk Communication Research. 392–395. 1 indexed citations
11.
Schwartz, Hansen Andrew & Fernando Gómez. (2009). Acquiring applicable common sense knowledge from the Web. 1–9. 4 indexed citations
12.
Schwartz, Hansen Andrew & Fernando Gómez. (2009). Using web selectors for the disambiguation of all words. 28–28. 3 indexed citations
13.
Schwartz, Hansen Andrew, et al.. (2008). A Semantic Feature for Verbal Predicate and Semantic Role Labeling using SVMs. Journal of International Crisis and Risk Communication Research. 213–218. 2 indexed citations
14.
Schwartz, Hansen Andrew & Fernando Gómez. (2008). Acquiring knowledge from the web to be used as selectors for noun sense disambiguation. Journal of International Crisis and Risk Communication Research. 105–105. 11 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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