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.
Software Engineering for Machine Learning: A Case Study
2019532 citationsAndrew Begel, Christian Bird et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Andrew Begel'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 Begel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Begel more than expected).
This network shows the impact of papers produced by Andrew Begel. 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 Begel. The network helps show where Andrew Begel may publish in the future.
Co-authorship network of co-authors of Andrew Begel
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Begel.
A scholar is included among the top collaborators of Andrew Begel 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 Begel. Andrew Begel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zolyomi, Annuska, Andrew Begel, John Tang, et al.. (2019). Managing Stress: The Needs of Autistic Adults in Video Calling. Computer Supported Cooperative Work (CSCW).11 indexed citations
Novielli, Nicole, Andrew Begel, & Walid Maalej. (2017). Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering. International Conference on Software Engineering.7 indexed citations
7.
Begel, Andrew, Fabio Calefato, & Christoph Treude. (2016). Proceedings of the 8th International Workshop on Social Software Engineering.1 indexed citations
8.
Begel, Andrew, et al.. (2015). Proceedings of the Eighth International Workshop on Cooperative and Human Aspects of Software Engineering.8 indexed citations
9.
Roy, Chanchal K., Andrew Begel, & Leon Moonen. (2014). Proceedings of the 22nd International Conference on Program Comprehension. International Conference on Software Engineering.2 indexed citations
Begel, Andrew. (2008). Codifier: A Programmer-Centric Search User Interface.19 indexed citations
15.
Begel, Andrew. (2006). Help, I Need Somebody!. 26(6). 14–14.3 indexed citations
16.
Liblit, Ben, Andrew Begel, & Eve Sweetser. (2006). Cognitive Perspectives on the Role of Naming in Computer Programs. PPIG. 11.78 indexed citations
17.
Klopfer, Eric, Mitchel Resnick, John Maloney, et al.. (2004). Programming revisited: the educational value of computer programming. International Conference of Learning Sciences. 16–18.1 indexed citations
18.
Begel, Andrew, Daniel D. Garcia, & Steven A. Wolfman. (2004). Kinesthetic learning in the classroom. ACM SIGCSE Bulletin. 36(1). 183–184.58 indexed citations
Begel, Andrew & Mitchel Resnick. (2000). LogoBlocks: A Graphical Programming Language for Interacting with the World. 40(2). 119–119.46 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.