Megan Squire

1.3k total citations · 1 hit paper
31 papers, 722 citations indexed

About

Megan Squire is a scholar working on Information Systems, Computer Science Applications and Communication. According to data from OpenAlex, Megan Squire has authored 31 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 14 papers in Computer Science Applications and 8 papers in Communication. Recurrent topics in Megan Squire's work include Software Engineering Research (14 papers), Open Source Software Innovations (12 papers) and Scientific Computing and Data Management (7 papers). Megan Squire is often cited by papers focused on Software Engineering Research (14 papers), Open Source Software Innovations (12 papers) and Scientific Computing and Data Management (7 papers). Megan Squire collaborates with scholars based in United States, Germany and Sweden. Megan Squire's co-authors include Jeremy Blackburn, Savvas Zannettou, Jason Baumgartner, Brian Keegan, Daniel Schneider, James Howison, David Williams, Jesús M. González-Barahona, Dugald Ralph Hutchings and Kevin Crowston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Empirical Software Engineering and Computers & composition.

In The Last Decade

Megan Squire

31 papers receiving 695 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.

The Pushshift Reddit Dataset

2020 493 citations Jason Baumgartner, Savvas Zannettou et al. Proceedings of the International AAAI Conference on Web and Social Media profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Squire United States	9	323	206	206	166	98	31	722
Karin Becker Brazil	16	320 1.0×	213 1.0×	236 1.1×	127 0.8×	58 0.6×	111	820
Ruogu Kang United States	13	180 0.6×	336 1.6×	214 1.0×	131 0.8×	95 1.0×	18	648
Ștefan Trăușan-Matu Romania	16	313 1.0×	129 0.6×	203 1.0×	96 0.6×	188 1.9×	145	836
Hugo Liu United States	14	647 2.0×	274 1.3×	197 1.0×	134 0.8×	52 0.5×	23	1.1k
Georg Groh Germany	16	369 1.1×	147 0.7×	240 1.2×	105 0.6×	21 0.2×	96	850
Sanjay Kairam United States	11	198 0.6×	263 1.3×	188 0.9×	157 0.9×	101 1.0×	24	690
Rosta Farzan United States	16	198 0.6×	355 1.7×	338 1.6×	283 1.7×	291 3.0×	74	1.0k
Dominic DiFranzo United States	16	349 1.1×	274 1.3×	136 0.7×	124 0.7×	23 0.2×	34	739
Aaron Hoff United States	10	195 0.6×	415 2.0×	170 0.8×	185 1.1×	44 0.4×	14	801

Countries citing papers authored by Megan Squire

Since Specialization

Citations

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

Fields of papers citing papers by Megan Squire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Squire

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Squire. A scholar is included among the top collaborators of Megan Squire 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 Megan Squire. Megan Squire 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.

Ling, Chen, et al.. (2023). Beyond Fish and Bicycles: Exploring the Varieties of Online Women’s Ideological Spaces. OpenBU (Boston University). 43–54. 3 indexed citations

2.

Baumgartner, Jason, Savvas Zannettou, Megan Squire, & Jeremy Blackburn. (2020). The Pushshift Telegram Dataset. Proceedings of the International AAAI Conference on Web and Social Media. 14. 840–847. 37 indexed citations

3.

Squire, Megan. (2019). Which Way to the Wheat Field? Women of the Radical Right on Facebook. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations

4.

Hammouda, Imed, Björn Lundell, Greg Madey, & Megan Squire. (2017). Proceedings of the Doctoral Consortium at the 13th International Conference on Open Source Systems. 2 indexed citations

5.

Squire, Megan. (2017). The Lives and Deaths of Open Source Code Forges. 1–8. 8 indexed citations

6.

Schneider, Daniel, et al.. (2016). Differentiating Communication Styles of Leaders on the Linux Kernel Mailing List. 1–10. 15 indexed citations

7.

Squire, Megan. (2016). Data sets. 452–459. 4 indexed citations

8.

Squire, Megan. (2015). Should we move to stack overflow?: measuring the utility of social media for developer support. International Conference on Software Engineering. 2. 219–228. 22 indexed citations

9.

Squire, Megan. (2015). "Should We Move to Stack Overflow?" Measuring the Utility of Social Media for Developer Support. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 219–228. 24 indexed citations

10.

Squire, Megan, et al.. (2015). FLOSS as a Source for Profanity and Insults: Collecting the Data. 5290–5298. 19 indexed citations

11.

Squire, Megan. (2013). A Replicable Infrastructure for Empirical Studies of Email Archives. 43–49. 2 indexed citations

12.

Squire, Megan, et al.. (2012). OUTLINE AND EXERCISES FOR A NOVEL INTRODUCTORY COURSE IN DATA SCIENCE AND VISUALIZATION. Issues in Information Systems. 2 indexed citations

13.

Squire, Megan & David Williams. (2012). Describing the Software Forge Ecosystem. 3416–3425. 4 indexed citations

14.

Squire, Megan, et al.. (2011). CHARTING A NEW CURRICULUM FOR A DATA-DRIVEN WORLD. SHILAP Revista de lepidopterología. 2 indexed citations

15.

Squire, Megan, et al.. (2011). A Secondary Data Archive for Code-Level Debian Metrics. 11. 43–51. 2 indexed citations

16.

Scacchi, Walt, Kevin Crowston, Chris Jensen, et al.. (2010). Towards a science of open source systems. 1 indexed citations

17.

González-Barahona, Jesús M., Daniel Izquierdo-Cortázar, & Megan Squire. (2010). Repositories with Public Data about Software Development. RePEc: Research Papers in Economics. 2(2). 1–13. 5 indexed citations

18.

Squire, Megan. (2009). Integrating Projects from Multiple Open Source Code Forges. RePEc: Research Papers in Economics. 1(1). 46–57. 2 indexed citations

19.

Squire, Megan, et al.. (2009). Strange Bedfellows: Human-Computer Interaction, Interface Design, and Composition Pedagogy. Computers & composition. 26(3). 149–163. 20 indexed citations

20.

Howison, James, Megan Squire, & Kevin Crowston. (2005). Ossmole: A collaborative repository for floss research data and analyses. 5 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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