Colin B. Clement

1.3k total citations · 1 hit paper
14 papers, 446 citations indexed

About

Colin B. Clement is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Colin B. Clement has authored 14 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Software. Recurrent topics in Colin B. Clement's work include Software Engineering Research (6 papers), Topic Modeling (4 papers) and Software Testing and Debugging Techniques (4 papers). Colin B. Clement is often cited by papers focused on Software Engineering Research (6 papers), Topic Modeling (4 papers) and Software Testing and Debugging Techniques (4 papers). Colin B. Clement collaborates with scholars based in United States, China and United Kingdom. Colin B. Clement's co-authors include Neel Sundaresan, Dawn Drain, Michele Tufano, A. Svyatkovskiy, Shuai Lu, Nan Duan, Shao Kun Deng, Zhangyin Feng, Daya Guo and Jian Yin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Nuclear Materials.

In The Last Decade

Colin B. Clement

13 papers receiving 433 citations

Hit Papers

GraphCodeBERT: Pre-training Code Representations with Dat... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Colin B. Clement
Farah Hariri United States
William Killian United States
John Sarracino United States
M. C. Browne United States
M. Pleško Slovenia
David Henty United Kingdom
Tom Scogland United States
Masoud Mansouri-Samani United Kingdom
Farah Hariri United States
Colin B. Clement
Citations per year, relative to Colin B. Clement Colin B. Clement (= 1×) peers Farah Hariri

Countries citing papers authored by Colin B. Clement

Since Specialization
Citations

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

Fields of papers citing papers by Colin B. Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin B. Clement. 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 Colin B. Clement. The network helps show where Colin B. Clement may publish in the future.

Co-authorship network of co-authors of Colin B. Clement

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

All Works

14 of 14 papers shown
1.
Sung, Suk Hyun, et al.. (2025). Inverse Melting of Polar Order in Chemically Substituted BaTiO3. Physical Review Letters. 134(25). 256801–256801.
2.
Huang, Yufan, Yongqiang Yao, Zihan Liu, et al.. (2023). SUT: Active Defects Probing for Transcompiler Models. 14024–14034. 1 indexed citations
3.
Huang, Yufan, et al.. (2023). Program Translation via Code Distillation. 10903–10914. 1 indexed citations
4.
Clement, Colin B., et al.. (2022). DeepDev-PERF: a deep learning-based approach for improving software performance. 948–958. 13 indexed citations
5.
Drain, Dawn, et al.. (2022). Exploring and evaluating personalized models for code generation. arXiv (Cornell University). 1500–1508. 6 indexed citations
6.
Kharkar, Anant, et al.. (2022). Learning to reduce false positives in analytic bug detectors. arXiv (Cornell University). 1307–1316. 20 indexed citations
7.
Guo, Daya, Shuo Ren, Shuai Lu, et al.. (2021). GraphCodeBERT: Pre-training Code Representations with Data Flow. 261 indexed citations breakdown →
8.
Clement, Colin B., Shuai Lu, Xiaoyu Liu, et al.. (2021). Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4713–4722. 8 indexed citations
9.
Clement, Colin B., et al.. (2020). Visualizing probabilistic models in Minkowski space with intensive symmetrized Kullback-Leibler embedding. Physical Review Research. 2(3). 6 indexed citations
10.
Clement, Colin B., et al.. (2019). Normal Form for Renormalization Groups. Physical Review X. 9(2). 11 indexed citations
11.
Clement, Colin B., et al.. (2019). Visualizing probabilistic models and data with Intensive Principal Component Analysis. Proceedings of the National Academy of Sciences. 116(28). 13762–13767. 10 indexed citations
12.
Sarazin, Y., Ph. Ghendrih, Guillaume Attuel, et al.. (2003). Theoretical understanding of turbulent transport in the SOL. Journal of Nuclear Materials. 313-316. 796–803. 60 indexed citations
13.
Pégouriè, B., E. Tsitrone, R. Dejarnac, et al.. (2003). Supersonic gas injection on Tore Supra. Journal of Nuclear Materials. 313-316. 539–542. 43 indexed citations
14.
Monier-Garbet, P., C. DeMichelis, Ph. Ghendrih, et al.. (2001). High radiation from intrinsic and injected impurities in Tore Supra ergodic divertor plasmas. Journal of Nuclear Materials. 290-293. 925–929. 6 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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