Derek Ruths

5.3k total citations · 2 hit papers
68 papers, 2.6k citations indexed

About

Derek Ruths is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Derek Ruths has authored 68 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Communication and 17 papers in Sociology and Political Science. Recurrent topics in Derek Ruths's work include Complex Network Analysis Techniques (13 papers), Social Media and Politics (11 papers) and Hate Speech and Cyberbullying Detection (10 papers). Derek Ruths is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Social Media and Politics (11 papers) and Hate Speech and Cyberbullying Detection (10 papers). Derek Ruths collaborates with scholars based in Canada, United States and Singapore. Derek Ruths's co-authors include Jürgen Pfeffer, Luay Nakhleh, Justin Ruths, Cuong Than, Wendy Liu, Peter John Loewen, Aengus Bridgman, Eric Merkley, Taylor Owen and Oleg Zhilin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Derek Ruths

63 papers receiving 2.5k 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.

Social media for large studies of behavior

2014 438 citations Derek Ruths et al. profile →
The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media

2020 240 citations Aengus Bridgman, Eric Merkley et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek Ruths Canada	24	712	653	582	384	359	68	2.6k
Andrej Mrvar Slovenia	20	665 0.9×	470 0.7×	479 0.8×	297 0.8×	1.4k 3.9×	40	4.1k
Stefan Wuchty United States	36	1.4k 1.9×	2.9k 4.4×	471 0.8×	460 1.2×	754 2.1×	111	7.4k
Tommaso Venturini France	19	1.2k 1.7×	345 0.5×	312 0.5×	613 1.6×	398 1.1×	62	3.5k
Edoardo M. Airoldi United States	31	567 0.8×	2.2k 3.3×	1.2k 2.0×	190 0.5×	1.1k 3.0×	102	5.1k
Jean-Baptiste Michel United States	20	546 0.8×	535 0.8×	714 1.2×	157 0.4×	189 0.5×	44	3.7k
Krishnendu Chatterjee Austria	32	1.2k 1.7×	508 0.8×	1.3k 2.2×	122 0.3×	242 0.7×	226	4.3k
Francis Heylighen Belgium	28	598 0.8×	173 0.3×	515 0.9×	86 0.2×	235 0.7×	126	2.7k
Mikko Kivelä Finland	19	574 0.8×	430 0.7×	465 0.8×	142 0.4×	2.4k 6.7×	50	4.0k
Juyong Park South Korea	25	413 0.6×	575 0.9×	247 0.4×	83 0.2×	1.3k 3.7×	122	3.2k
Manlio De Domenico Italy	32	928 1.3×	614 0.9×	655 1.1×	259 0.7×	2.3k 6.5×	111	5.0k

Countries citing papers authored by Derek Ruths

Since Specialization

Citations

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

Fields of papers citing papers by Derek Ruths

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Ruths

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hobson, David W., et al.. (2024). Large Scale Narrative Messaging around Climate Change: A Cross-Cultural Comparison. 143–155. 3 indexed citations

2.

Ruths, Derek, et al.. (2024). The Invasion of Ukraine Viewed through Large-Scale Analysis of TikTok. RiuNet (Politechnical University of Valencia).

3.

Piper, Andrew, et al.. (2024). The Social Lives of Literary Characters: Combining citizen science and language models to understand narrative social networks. 472–482. 2 indexed citations

4.

Sun, Shuo, Mairead Shaw, Erica E. M. Moodie, & Derek Ruths. (2022). The epidemiological impact of the Canadian COVID Alert app. Canadian Journal of Public Health. 113(4). 519–527. 8 indexed citations

5.

Bridgman, Aengus, Eric Merkley, Peter John Loewen, Taylor Owen, & Derek Ruths. (2021). All in This Together? A Preregistered Report on Deservingness of Government Aid During the COVID-19 Pandemic. Journal of Experimental Political Science. 9(3). 296–313. 10 indexed citations

6.

Liu, Wendy, et al.. (2021). Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 387–390. 47 indexed citations

7.

Ruths, Derek, et al.. (2020). Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage. 138–149. 24 indexed citations

8.

Margolin, Drew, et al.. (2018). An Attribution Relations Corpus for Political News. Language Resources and Evaluation. 7 indexed citations

9.

Piper, Andrew, et al.. (2017). Studying Literary Characters and Character Networks.. DH. 6 indexed citations

10.

Campbell, Colin, et al.. (2017). Correlations in the degeneracy of structurally controllable topologies for networks. Scientific Reports. 7(1). 46251–46251. 4 indexed citations

11.

Margolin, Drew, et al.. (2017). Assessing the Verifiability of Attributions in News Text. International Joint Conference on Natural Language Processing. 1. 754–763. 2 indexed citations

12.

Jurgens, David, et al.. (2016). Annotating characters in literary corpora: a scheme, the CHARLES tool, and an annotated novel. Language Resources and Evaluation. 184–189. 5 indexed citations

13.

Ruths, Derek & Justin Ruths. (2016). Estimating the minimum control count of random network models. Scientific Reports. 6(1). 19818–19818. 1 indexed citations

14.

Liu, Wendy & Derek Ruths. (2013). What's in a Name? Using First Names as Features for Gender Inference in Twitter. National Conference on Artificial Intelligence. 114 indexed citations

15.

Sonderegger, Morgan, et al.. (2013). Gender Inference of Twitter Users in Non-English Contexts. 1136–1145. 75 indexed citations

16.

Déry, Marc-André, et al.. (2013). Identification of a Novel Endoplasmic Reticulum Stress Response Element Regulated by XBP1. Journal of Biological Chemistry. 288(28). 20378–20391. 38 indexed citations

17.

Fete, Mary, Suzanne Clements, Frank McKeon, et al.. (2009). International Research Symposium on Ankyloblepharon‐Ectodermal Defects‐Cleft Lip/Palate (AEC) Syndrome. American Journal of Medical Genetics Part A. 149A(9). 1885–1893. 24 indexed citations

18.

Ruths, Derek, et al.. (2008). The Signaling Petri Net-Based Simulator: A Non-Parametric Strategy for Characterizing the Dynamics of Cell-Specific Signaling Networks. PLoS Computational Biology. 4(2). e1000005–e1000005. 67 indexed citations

19.

Than, Cuong, Derek Ruths, & Luay Nakhleh. (2008). PhyloNet: a software package for analyzing and reconstructing reticulate evolutionary relationships. BMC Bioinformatics. 9(1). 322–322. 353 indexed citations

20.

Ruths, Derek, Luay Nakhleh, & Prahlad T. Ram. (2008). Rapidly exploring structural and dynamic properties of signaling networks using PathwayOracle. BMC Systems Biology. 2(1). 76–76. 12 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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