Andrew J. Ko

1.7k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Andrew J. Ko is a scholar working on Software, Information Systems and Computer Science Applications. According to data from OpenAlex, Andrew J. Ko has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Software, 12 papers in Information Systems and 10 papers in Computer Science Applications. Recurrent topics in Andrew J. Ko's work include Spreadsheets and End-User Computing (11 papers), Software Engineering Research (9 papers) and Software Engineering Techniques and Practices (7 papers). Andrew J. Ko is often cited by papers focused on Spreadsheets and End-User Computing (11 papers), Software Engineering Research (9 papers) and Software Engineering Techniques and Practices (7 papers). Andrew J. Ko collaborates with scholars based in United States, United Kingdom and Switzerland. Andrew J. Ko's co-authors include Brad A. Myers, Htet Htet Aung, Michael Coblenz, Margaret Burnett, Thomas D. LaToza, Sun Young Park, C. Cook, Travis Kriplean, Alan Borning and Michael J. Lee and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Software and Empirical Software Engineering.

In The Last Decade

Andrew J. Ko

24 papers receiving 1.1k 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.

An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks

2006 462 citations Andrew J. Ko, Brad A. Myers et al. IEEE Transactions on Software Engineering profile →

Peers

Andrew J. Ko

IS

SOFTW

AI

CSA

CNC

Jonathan Sillito Canada

Thomas D. LaToza United States

Andrea Mocci Switzerland

Sira Vegas Spain

Joseph Lawrance United States

M.-A. Storey Canada

Titus Barik United States

Michael Coblenz United States

Mik Kersten Canada

Vigdis By Kampenes Norway

Jonathan Sillito Canada

Andrew J. Ko

1.1k ×1.3

IS

320 ×0.8

SOFTW

324 ×1.2

AI

402 ×1.5

CSA

250 ×1.0

CNC

Citations per year, relative to Andrew J. Ko Andrew J. Ko (= 1×) peers Jonathan Sillito

Countries citing papers authored by Andrew J. Ko

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Ko. 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 Andrew J. Ko. The network helps show where Andrew J. Ko may publish in the future.

Co-authorship network of co-authors of Andrew J. Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Ko. A scholar is included among the top collaborators of Andrew J. Ko 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 Andrew J. Ko. Andrew J. Ko 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.

Bernier, Michel, et al.. (2025). Seven questions for a student's donor: Evaluation of a fictional conversation lends insight into professional identity formation in medical students. Anatomical Sciences Education. 18(5). 425–435. 1 indexed citations

2.

Ko, Andrew J.. (2018). Mining the Mind, Minding the Mine: Grand Challenges in Comprehension and Mining. 1 indexed citations

3.

Ko, Andrew J., Brad A. Myers, Michael Coblenz, & Jeffrey Stylos. (2018). End-User Programming Productivity Tools. Figshare.

4.

Scaffidi, Christopher, Andrew J. Ko, Brad A. Myers, & Mary Shaw. (2018). Identifying categories of end users based on the abstractions that they create. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 30(4). 353–4. 1 indexed citations

5.

Myers, Brad A. & Andrew J. Ko. (2018). The Past, Present and Future of Programming in HCI. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

6.

Tanimoto, Steven L., et al.. (2018). Proceedings of the Workshop on Designing Technologies to Support Human Problem Solving. ResearchWorks at the University of Washington (University of Washington). 2 indexed citations

7.

Lee, Michael J. & Andrew J. Ko. (2014). A demonstration of gidget, a debugging game for computing education. 211–212. 4 indexed citations

8.

Ko, Andrew J., Thomas D. LaToza, & Margaret Burnett. (2013). A practical guide to controlled experiments of software engineering tools with human participants. Empirical Software Engineering. 20(1). 110–141. 149 indexed citations

9.

Kriplean, Travis, et al.. (2011). REFLECT: Supporting Active Listening and Grounding on the Web through Restatement. 10 indexed citations

10.

Ko, Andrew J.. (2011). Understanding Software Engineering Through Qualitative Methods.. 55–64.

11.

Ko, Andrew J., Robin Abraham, Margaret Burnett, & Brad A. Myers. (2009). Guest Editors' Introduction: End-User Software Engineering. IEEE Software. 26(5). 16–17. 4 indexed citations

12.

Ko, Andrew J. & Brad A. Myers. (2008). Debugging reinvented. 301–310. 201 indexed citations

13.

Myers, Brad A. & Andrew J. Ko. (2008). Asking and answering questions about the causes of software behavior. 10 indexed citations

14.

Coblenz, Michael, Andrew J. Ko, & Brad A. Myers. (2006). JASPER. 65–69. 25 indexed citations

15.

Ko, Andrew J., Brad A. Myers, Michael Coblenz, & Htet Htet Aung. (2006). An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks. IEEE Transactions on Software Engineering. 32(12). 971–987. 462 indexed citations breakdown →

16.

Ko, Andrew J. & Brad A. Myers. (2005). Human factors affecting dependability in end-user programming. 1–4. 10 indexed citations

17.

Ko, Andrew J., Htet Htet Aung, & Brad A. Myers. (2005). Eliciting design requirements for maintenance-oriented ides: a detailed study of corrective and perfective maintenance tasks. 126–135. 61 indexed citations

18.

Ko, Andrew J.. (2002). Individual Differences in Programming, Testing, and Debugging Strategies in a Statistical End-User Programming Environment. 1 indexed citations

19.

Ko, Andrew J., et al.. (2002). Improving the Design of Visual Programming Language Experiments Using Cognitive Walkthroughs. Journal of Visual Languages & Computing. 13(5). 517–544. 3 indexed citations

20.

Burnett, Margaret, et al.. (2000). Using the cognitive walkthrough to improve the design of a visual programming experiment. 172–179. 16 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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