Christopher Bogart

2.2k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Christopher Bogart is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Christopher Bogart has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Science Applications, 18 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Christopher Bogart's work include Software Engineering Research (16 papers), Open Source Software Innovations (10 papers) and Scientific Computing and Data Management (7 papers). Christopher Bogart is often cited by papers focused on Software Engineering Research (16 papers), Open Source Software Innovations (10 papers) and Scientific Computing and Data Management (7 papers). Christopher Bogart collaborates with scholars based in United States, Singapore and Israel. Christopher Bogart's co-authors include Timothy Starkweather, David S. Whitley, James D. Herbsleb, Christian Kästner, Margaret Burnett, Ferdian Thung, Rachel Bellamy, Scott Fleming, Joseph Lawrance and Jaromír Šavelka and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Software and British Journal of Educational Technology.

In The Last Decade

Christopher Bogart

35 papers receiving 1.2k citations

Hit Papers

Genetic algorithms and neural networks: optimizing connec... 1990 2026 2002 2014 1990 100 200 300 400 500
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.

  1. Genetic algorithms and neural networks: optimizing connections and connectivity
    1990 505 citations Christopher Bogart et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Bogart United States 16 561 522 336 189 173 38 1.3k
Filomena Ferrucci Italy 27 1.7k 3.0× 486 0.9× 259 0.8× 1.0k 5.3× 446 2.6× 168 2.3k
Hongji Yang United Kingdom 16 735 1.3× 417 0.8× 34 0.1× 206 1.1× 329 1.9× 147 1.2k
Hailong Sun China 20 1.7k 3.0× 765 1.5× 240 0.7× 402 2.1× 950 5.5× 161 2.3k
Tushar Sharma India 18 826 1.5× 239 0.5× 88 0.3× 452 2.4× 383 2.2× 90 1.2k
Haifeng Shen Australia 16 335 0.6× 251 0.5× 57 0.2× 55 0.3× 292 1.7× 101 999
Lijie Wen China 19 738 1.3× 614 1.2× 61 0.2× 61 0.3× 167 1.0× 120 1.5k
Luigi Lavazza Italy 18 975 1.7× 512 1.0× 98 0.3× 524 2.8× 240 1.4× 135 1.4k
Gillian Dobbie New Zealand 23 564 1.0× 998 1.9× 66 0.2× 57 0.3× 433 2.5× 123 1.6k
Ken Arnold United Kingdom 13 480 0.9× 663 1.3× 31 0.1× 196 1.0× 773 4.5× 48 1.7k
Eila Ovaska Finland 14 265 0.5× 221 0.4× 36 0.1× 66 0.3× 182 1.1× 35 909

Countries citing papers authored by Christopher Bogart

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Bogart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Bogart

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

All Works

20 of 20 papers shown
1.
Murray, R. Charles, et al.. (2024). Providing tailored reflection instructions in collaborative learning using large language models. British Journal of Educational Technology. 56(2). 531–550. 3 indexed citations
2.
Song, Yifan, et al.. (2024). Programming Plagiarism Detection with Learner Data. 1826–1827. 1 indexed citations
3.
Bogart, Christopher, et al.. (2024). What Factors Influence Persistence in Project-based Programming Courses at Community Colleges?. 116–122. 1 indexed citations
4.
5.
Šavelka, Jaromír, Arav Agarwal, Christopher Bogart, Yifan Song, & Majd Sakr. (2023). Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?. Research Publications (Maastricht University). 117–123. 64 indexed citations
6.
Bogart, Christopher, et al.. (2023). Diversity-based active learning: creating a representative object detection dataset in 3D point clouds. 16–16. 1 indexed citations
7.
Šavelka, Jaromír, Arav Agarwal, Christopher Bogart, & Majd Sakr. (2023). Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. 47–58. 36 indexed citations
8.
Song, Yifan, et al.. (2022). Cheating Detection in Online Assessments via Timeline Analysis. 98–104. 6 indexed citations
9.
10.
Bogart, Christopher, Christian Kästner, James D. Herbsleb, & Ferdian Thung. (2021). When and How to Make Breaking Changes. ACM Transactions on Software Engineering and Methodology. 30(4). 1–56. 42 indexed citations
11.
Bogart, Christopher, et al.. (2021). World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data. Empirical Software Engineering. 26(2). 33 indexed citations
12.
Bogart, Christopher, et al.. (2020). Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects.. ICLS. 1 indexed citations
13.
Mockus, Audris, et al.. (2020). ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems. Empirical Software Engineering. 25(2). 1136–1167. 18 indexed citations
14.
Bogart, Christopher, et al.. (2020). Designing for learning during collaborative projects online: tools and takeaways. Information and Learning Sciences. 121(7/8). 569–577. 15 indexed citations
15.
Bogart, Christopher, et al.. (2019). World of Code: An Infrastructure for Mining the Universe of Open Source VCS Data. 143–154. 47 indexed citations
16.
Bogart, Christopher, Christian Kästner, & James D. Herbsleb. (2015). When It Breaks, It Breaks: How Ecosystem Developers Reason about the Stability of Dependencies. Figshare. 86–89. 41 indexed citations
17.
Herbsleb, James D., Christian Kästner, & Christopher Bogart. (2015). Intelligently Transparent Software Ecosystems. IEEE Software. 33(1). 89–96. 9 indexed citations
18.
Piorkowski, David, Scott Fleming, Chris Scaffidi, et al.. (2011). Modeling programmer navigation: A head-to-head empirical evaluation of predictive models. 109–116. 33 indexed citations
19.
Bogart, Christopher, Margaret Burnett, Allen Cypher, & Christopher Scaffidi. (2008). End-user programming in the wild: A field study of CoScripter scripts. 39–46. 36 indexed citations
20.
Burnett, Margaret, et al.. (2008). Software visualization for end-user programmers. 135–144. 4 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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