Kelly Blincoe

2.5k total citations · 1 hit paper
81 papers, 1.5k citations indexed

About

Kelly Blincoe is a scholar working on Information Systems, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Kelly Blincoe has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Information Systems, 35 papers in Computer Science Applications and 13 papers in Computer Networks and Communications. Recurrent topics in Kelly Blincoe's work include Software Engineering Research (59 papers), Software Engineering Techniques and Practices (41 papers) and Open Source Software Innovations (33 papers). Kelly Blincoe is often cited by papers focused on Software Engineering Research (59 papers), Software Engineering Techniques and Practices (41 papers) and Open Source Software Innovations (33 papers). Kelly Blincoe collaborates with scholars based in New Zealand, Canada and United States. Kelly Blincoe's co-authors include Daniela Damian, Eirini Kalliamvakou, Daniel M. Germán, Leif Singer, Georgios Gousios, Rashina Hoda, Giuseppe Valetto, Sean Goggins, Jens Dietrich and Amjed Tahir and has published in prestigious journals such as IEEE Transactions on Software Engineering, Australasian Journal of Paramedicine and IEEE Software.

In The Last Decade

Kelly Blincoe

75 papers receiving 1.5k 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.

The promises and perils of mining GitHub

2014 449 citations Kelly Blincoe, Daniela Damian et al. profile →

Peers

Kelly Blincoe

IS

CSA

CNC

SOFTW

AI

Leif Singer Germany

Jesús M. González-Barahona Spain

Eirini Kalliamvakou Canada

Norsaremah Salleh Malaysia

Πάνος Λουρίδας Greece

Anita Sarma United States

Thomas D. LaToza United States

Igor Wiese Brazil

Jason Tsay United States

Manoel Mendonça Brazil

Leif Singer Germany

Kelly Blincoe

1.3k ×1.0

IS

765 ×1.3

CSA

262 ×0.9

CNC

245 ×0.9

SOFTW

265 ×1.0

AI

Citations per year, relative to Kelly Blincoe Kelly Blincoe (= 1×) peers Leif Singer

Countries citing papers authored by Kelly Blincoe

Since Specialization

Citations

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

Fields of papers citing papers by Kelly Blincoe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly Blincoe

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

All Works

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20 of 20 papers shown

1.

Tempero, Ewan, et al.. (2025). A practitioner survey on Requirements Technical Debt Quantification. Journal of Systems and Software. 230. 112538–112538.

2.

Trinkenreich, Bianca, Fabio Calefato, Geir Kjetil Hanssen, et al.. (2025). Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research. IT University Of Copenhagen (IT University of Copenhagen). 1503–1507.

3.

Shahamiri, Seyed Reza, et al.. (2024). Conversation in forums: How software forum posts discuss potential development insights. Journal of Systems and Software. 215. 112108–112108. 1 indexed citations

4.

Terragni, Valerio, et al.. (2024). Understanding the Impact of APIs Behavioral Breaking Changes on Client Applications. Proceedings of the ACM on software engineering.. 1(FSE). 1238–1261. 5 indexed citations

5.

Terragni, Valerio, et al.. (2024). An extended study of syntactic breaking changes in the wild. Empirical Software Engineering. 30(2). 3 indexed citations

6.

Liu, Xiao, Kelly Blincoe, Mohan Baruwal Chhetri, & John Grundy. (2023). Human-centric software engineering – Approaches, technologies, and applications. Journal of Systems and Software. 204. 111791–111791. 1 indexed citations

7.

Koh, Yun Sing, et al.. (2023). Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata. Empirical Software Engineering. 28(2). 5 indexed citations

8.

Singh, Paramvir, et al.. (2023). Identifying refactoring opportunities for large packages by analyzing maintainability characteristics in Java OSS. Journal of Systems and Software. 202. 111717–111717. 4 indexed citations

9.

Blincoe, Kelly, et al.. (2023). What have we learned? A conceptual framework on New Zealand software professionals and companies’ response to COVID-19. Empirical Software Engineering. 28(5). 1 indexed citations

10.

Murphy-Hill, Emerson, et al.. (2022). Destructive Criticism in Software Code Review Impacts Inclusion. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–29. 13 indexed citations

11.

Blincoe, Kelly, et al.. (2022). Unsupervised extreme multi label classification of stack overflow posts. 1–8. 10 indexed citations

12.

Wang, Hechen, et al.. (2022). What’s Inside a Cluster of Software User Feedback: A Study of Characterisation Methods. 189–200. 6 indexed citations

13.

Blincoe, Kelly, et al.. (2020). Enriching feature engineering for short text samples by language time series analysis. EPJ Data Science. 9(1). 4 indexed citations

14.

Serebrenik, Alexander, Kelly Blincoe, Byron J. Williams, & Joanne M. Atlee. (2020). Diversity and Inclusion in the Software Engineering Research Community. ACM SIGSOFT Software Engineering Notes. 45(4). 5–7. 4 indexed citations

15.

Blincoe, Kelly, et al.. (2020). Voice of the Users: A Demographic Study of Software Feedback Behaviour. ResearchSpace (University of Auckland). 15 indexed citations

16.

Hoda, Rashina, et al.. (2018). Adapting agile practices in university contexts. Journal of Systems and Software. 144. 501–510. 48 indexed citations

17.

Knauss, Eric, et al.. (2016). Continuous clarification and emergent requirements flows in open-commercial software ecosystems. Requirements Engineering. 23(1). 97–117. 31 indexed citations

18.

Blincoe, Kelly, Daniela Damian, Giuseppe Valetto, & James D. Herbsleb. (2015). 2nd international workshop on context for software development (CSD 2015). International Conference on Software Engineering. 2. 973–974.

19.

Blincoe, Kelly, et al.. (2015). Understanding the popular users: Following, affiliation influence and leadership on GitHub. Information and Software Technology. 70. 30–39. 66 indexed citations

20.

McDonald, Nora, et al.. (2014). MODELING DISTRIBUTED COLLABORATION ON GITHUB. Advances in Complex Systems. 17(07n08). 1450024–1450024. 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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