Jason Tsay

2.1k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Jason Tsay is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Jason Tsay has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Jason Tsay's work include Software Engineering Research (10 papers), Open Source Software Innovations (6 papers) and Machine Learning and Data Classification (4 papers). Jason Tsay is often cited by papers focused on Software Engineering Research (10 papers), Open Source Software Innovations (6 papers) and Machine Learning and Data Classification (4 papers). Jason Tsay collaborates with scholars based in United States and Brazil. Jason Tsay's co-authors include Laura Dabbish, Jim Herbsleb, James D. Herbsleb, Casey Dugan, Dakuo Wang, Michael Müller, Thomas Erickson, David Piorkowski, Q. Vera Liao and Martin Hirzel and has published in prestigious journals such as IEEE Software, Empirical Software Engineering and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Jason Tsay

15 papers receiving 1.3k 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 coding in GitHub

2012 655 citations Laura Dabbish, Jason Tsay et al. profile →
Influence of social and technical factors for evaluating contribution in GitHub

2014 273 citations Jason Tsay, Laura Dabbish et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Tsay United States	10	937	744	259	189	187	15	1.4k
Yunwen Ye United States	14	735 0.8×	660 0.9×	287 1.1×	203 1.1×	111 0.6×	31	1.3k
Leif Singer Germany	17	1.3k 1.3×	765 1.0×	231 0.9×	265 1.4×	133 0.7×	34	1.6k
Igor Wiese Brazil	18	787 0.8×	644 0.9×	275 1.1×	162 0.9×	96 0.5×	86	1.1k
Jesús M. González-Barahona Spain	28	1.5k 1.6×	995 1.3×	396 1.5×	348 1.8×	187 1.0×	120	2.0k
Kelly Blincoe New Zealand	18	1.2k 1.3×	596 0.8×	137 0.5×	254 1.3×	133 0.7×	81	1.5k
Yvonne Dittrich Denmark	20	733 0.8×	418 0.6×	117 0.5×	129 0.7×	85 0.5×	103	1.4k
Marcelo Cataldo United States	23	1.4k 1.5×	827 1.1×	203 0.8×	274 1.4×	76 0.4×	42	1.7k
Anita Sarma United States	27	1.8k 1.9×	1.1k 1.5×	390 1.5×	527 2.8×	231 1.2×	130	2.4k
Denae Ford United States	19	589 0.6×	379 0.5×	187 0.7×	169 0.9×	69 0.4×	44	1.1k
Li-Te Cheng United States	16	622 0.7×	310 0.4×	100 0.4×	203 1.1×	95 0.5×	35	931

Countries citing papers authored by Jason Tsay

Since Specialization

Citations

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

Fields of papers citing papers by Jason Tsay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Tsay

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Tsay. A scholar is included among the top collaborators of Jason Tsay 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 Jason Tsay. Jason Tsay 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:

15 of 15 papers shown

1.

Tsay, Jason, et al.. (2024). AI for Low-Code for AI. 837–852. 5 indexed citations

2.

Tsay, Jason, et al.. (2022). Extracting enhanced artificial intelligence model metadata from software repositories. Empirical Software Engineering. 27(7). 6 indexed citations

3.

Hirzel, Martin, et al.. (2022). Gradual AutoML using Lale. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4794–4795. 3 indexed citations

4.

Hellendoorn, Vincent J., et al.. (2021). Towards automating code review at scale. 1479–1482. 13 indexed citations

5.

Tsay, Jason, et al.. (2020). AIMMX. 81–92. 12 indexed citations

6.

Müller, Michael, Dakuo Wang, David Piorkowski, et al.. (2019). How Data Science Workers Work with Data. 1–15. 162 indexed citations

7.

Tsay, Jason. (2017). Software Developers Using Signals in Transparent Environments. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

8.

Tsay, Jason, Laura Dabbish, & James D. Herbsleb. (2014). Influence of social and technical factors for evaluating contribution in GitHub. 356–366. 273 indexed citations breakdown →

9.

Tsay, Jason, Laura Dabbish, & James D. Herbsleb. (2014). Let's talk about it: evaluating contributions through discussion in GitHub. 144–154. 134 indexed citations

10.

Tsay, Jason, Laura Dabbish, & James D. Herbsleb. (2013). Social media in transparent work environments. 65–72. 10 indexed citations

11.

Dabbish, Laura, et al.. (2012). Leveraging Transparency. IEEE Software. 30(1). 37–43. 61 indexed citations

12.

Dabbish, Laura, et al.. (2012). Social coding in GitHub. 1277–1286. 655 indexed citations breakdown →

13.

Tsay, Jason, Laura Dabbish, & James D. Herbsleb. (2012). Social media and success in open source projects. 223–226. 26 indexed citations

14.

Tsay, Jason, et al.. (2011). Experiences mining open source release histories. 208–212. 6 indexed citations

15.

Geiss, Roy H., Willi Volksen, Jason Tsay, & James Economy. (1984). Structure of poly(p‐hydroxybenzoic acid). Journal of Polymer Science Polymer Letters Edition. 22(8). 433–436. 15 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.

Explore authors with similar magnitude of impact