Daniel Preoțiuc-Pietro

4.3k total citations · 2 hit papers
51 papers, 2.4k citations indexed

About

Daniel Preoțiuc-Pietro is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Daniel Preoțiuc-Pietro has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 6 papers in Communication. Recurrent topics in Daniel Preoțiuc-Pietro's work include Topic Modeling (16 papers), Advanced Text Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Daniel Preoțiuc-Pietro is often cited by papers focused on Topic Modeling (16 papers), Advanced Text Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Daniel Preoțiuc-Pietro collaborates with scholars based in United States, United Kingdom and Australia. Daniel Preoțiuc-Pietro's co-authors include Lyle Ungar, Vasileios Lampos, Νικόλαος Αλέτρας, Dimitrios Tsarapatsanis, Trevor Cohn, H. Andrew Schwartz, Johannes C. Eichstaedt, Patrick Crutchley, Raina M. Merchant and David A. Asch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Information Processing & Management.

In The Last Decade

Daniel Preoțiuc-Pietro

50 papers receiving 2.2k citations

Hit Papers

Facebook language predicts depression in medical records 2016 2026 2019 2022 2018 2016 100 200 300
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.

  1. Facebook language predicts depression in medical records
    2018 376 citations Johannes C. Eichstaedt, Lyle Ungar et al. profile →
  2. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
    2016 362 citations Νικόλαος Αλέτρας, Daniel Preoțiuc-Pietro et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Preoțiuc-Pietro United States 26 1.1k 497 461 326 263 51 2.4k
Dirk Hovy Italy 28 3.0k 2.6× 348 0.7× 374 0.8× 48 0.1× 140 0.5× 112 3.5k
Douglas Walton Canada 26 1.7k 1.5× 144 0.3× 322 0.7× 419 1.3× 408 1.6× 141 3.1k
René F. Kizilcec United States 27 783 0.7× 364 0.7× 449 1.0× 33 0.1× 230 0.9× 92 4.3k
Savvas Zannettou United States 21 925 0.8× 167 0.3× 935 2.0× 68 0.2× 36 0.1× 59 1.9k
Dan Simon United States 17 252 0.2× 326 0.7× 498 1.1× 101 0.3× 83 0.3× 45 2.2k
Aylin Caliskan United States 13 979 0.9× 119 0.2× 391 0.8× 66 0.2× 85 0.3× 40 2.0k
Diana Inkpen Canada 27 2.7k 2.4× 478 1.0× 252 0.5× 19 0.1× 203 0.8× 155 3.3k
David Milne Australia 19 1.9k 1.7× 268 0.5× 339 0.7× 55 0.2× 138 0.5× 52 2.9k
Ryan Calo United States 19 421 0.4× 75 0.2× 622 1.3× 127 0.4× 31 0.1× 54 1.7k
Yubo Kou United States 24 433 0.4× 172 0.3× 1.0k 2.2× 30 0.1× 54 0.2× 73 1.9k

Countries citing papers authored by Daniel Preoțiuc-Pietro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Preoțiuc-Pietro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Preoțiuc-Pietro. 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 Daniel Preoțiuc-Pietro. The network helps show where Daniel Preoțiuc-Pietro may publish in the future.

Co-authorship network of co-authors of Daniel Preoțiuc-Pietro

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

All Works

20 of 20 papers shown
1.
Preoțiuc-Pietro, Daniel, et al.. (2020). Point-of-Interest Type Inference from Social Media Text. 804–810. 2 indexed citations
2.
3.
Preoțiuc-Pietro, Daniel, et al.. (2019). Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts. 2830–2840. 36 indexed citations
4.
Preoțiuc-Pietro, Daniel & Lyle Ungar. (2018). User-Level Race and Ethnicity Predictors from Twitter Text. International Conference on Computational Linguistics. 1534–1545. 29 indexed citations
5.
Preoțiuc-Pietro, Daniel, et al.. (2018). Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media.. International Conference on Computational Linguistics. 2927–2938. 21 indexed citations
6.
Guntuku, Sharath Chandra, et al.. (2018). Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr. PLoS ONE. 13(7). e0198660–e0198660. 33 indexed citations
7.
Preoțiuc-Pietro, Daniel, Ye Liu, Daniel J. Hopkins, & Lyle Ungar. (2017). Beyond Binary Labels: Political Ideology Prediction of Twitter Users. 729–740. 184 indexed citations
8.
Srijith, P. K., Mark Hepple, Kalina Bontcheva, & Daniel Preoțiuc-Pietro. (2016). Sub-story detection in Twitter with hierarchical Dirichlet processes. Information Processing & Management. 53(4). 989–1003. 36 indexed citations
9.
Preoțiuc-Pietro, Daniel, P. K. Srijith, Mark Hepple, & Trevor Cohn. (2016). Studying the temporal dynamics of word co-occurrences: An application to event detection. Language Resources and Evaluation. 4380–4387. 5 indexed citations
10.
Carpenter, Jordan, et al.. (2016). An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. Language Resources and Evaluation. 3730–3736. 34 indexed citations
11.
Preoțiuc-Pietro, Daniel, Jordan Carpenter, Salvatore Giorgi, & Lyle Ungar. (2016). Studying the Dark Triad of Personality through Twitter Behavior. 761–770. 41 indexed citations
12.
Flek, Lucie, Jordan Carpenter, Salvatore Giorgi, Lyle Ungar, & Daniel Preoțiuc-Pietro. (2016). Analyzing Biases in Human Perception of User Age and Gender from Text. 30 indexed citations
13.
Preoțiuc-Pietro, Daniel, Vasileios Lampos, & Νικόλαος Αλέτρας. (2015). An analysis of the user occupational class through Twitter content. 1754–1764. 136 indexed citations
14.
Preoțiuc-Pietro, Daniel, Svitlana Volkova, Vasileios Lampos, Yoram Bachrach, & Νικόλαος Αλέτρας. (2015). Studying User Income through Language, Behaviour and Affect in Social Media. PLoS ONE. 10(9). e0138717–e0138717. 140 indexed citations
15.
Preoțiuc-Pietro, Daniel, Johannes C. Eichstaedt, Gregory Park, et al.. (2015). The Role of Personality, Age and Gender in Tweeting about Mental Illnesses. 24 indexed citations
16.
Lampos, Vasileios, et al.. (2014). Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. 13–17. 2 indexed citations
17.
Preoțiuc-Pietro, Daniel & Trevor Cohn. (2013). A temporal model of text periodicities using Gaussian Processes. 977–988. 25 indexed citations
18.
Preoțiuc-Pietro, Daniel & Trevor Cohn. (2013). Mining user behaviours. 306–315. 68 indexed citations
19.
Varga, Andrea, Daniel Preoțiuc-Pietro, & Fabio Ciravegna. (2012). Unsupervised document zone identification using probabilistic graphical models. Language Resources and Evaluation. 1610–1617. 10 indexed citations
20.
Dinca, Eduard B., John Yianni, Jeremy Rowe, et al.. (2012). Survival and complications following Gamma Knife radiosurgery or enucleation for ocular melanoma: a 20-year experience. Acta Neurochirurgica. 154(4). 605–610. 29 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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