Cody Watson

811 total citations
9 papers, 465 citations indexed

About

Cody Watson is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Cody Watson has authored 9 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 5 papers in Software and 3 papers in Signal Processing. Recurrent topics in Cody Watson's work include Software Engineering Research (7 papers), Software Testing and Debugging Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Cody Watson is often cited by papers focused on Software Engineering Research (7 papers), Software Testing and Debugging Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Cody Watson collaborates with scholars based in United States, Switzerland and Italy. Cody Watson's co-authors include Denys Poshyvanyk, Gabriele Bavota, Michele Tufano, Massimiliano Di Penta, Martin White, Jevgenija Pantiuchina, Kevin Moran, M. J. White, Allison P. Anderson and Torin K. Clark and has published in prestigious journals such as ACM Transactions on Software Engineering and Methodology, Aerospace Medicine and Human Performance and W&M Publish (College of William & Mary).

In The Last Decade

Cody Watson

8 papers receiving 459 citations

Peers

Cody Watson
Jibesh Patra Germany
Nadia Alshahwan United Kingdom
Zachary P. Fry United States
Lamyaa Eloussi United States
Yoonki Song United States
Hong Jin Kang Singapore
Steve Kommrusch United States
Darren C. Atkinson United States
Quanjun Zhang China
Jibesh Patra Germany
Cody Watson
Citations per year, relative to Cody Watson Cody Watson (= 1×) peers Jibesh Patra

Countries citing papers authored by Cody Watson

Since Specialization
Citations

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

Fields of papers citing papers by Cody Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Watson

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

All Works

9 of 9 papers shown
1.
Watson, Cody, et al.. (2023). Additive Sensory Noise Effects on Operator Performance in a Lunar Landing Simulation. Aerospace Medicine and Human Performance. 94(10). 770–779. 2 indexed citations
2.
Watson, Cody, et al.. (2022). A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. ACM Transactions on Software Engineering and Methodology. 31(2). 1–58. 76 indexed citations
3.
Tufano, Michele, Cody Watson, Gabriele Bavota, et al.. (2022). Deep Learning Similarities from Different Representations of Source Code. Zenodo (CERN European Organization for Nuclear Research).
4.
Watson, Cody. (2021). Deep Learning In Software Engineering. W&M Publish (College of William & Mary). 1 indexed citations
5.
Tufano, Michele, Cody Watson, Gabriele Bavota, et al.. (2019). Learning How to Mutate Source Code from Bug-Fixes. 301–312. 37 indexed citations
6.
Tufano, Michele, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, & Denys Poshyvanyk. (2019). On Learning Meaningful Code Changes Via Neural Machine Translation. 25–36. 130 indexed citations
7.
Tufano, Michele, Cody Watson, Gabriele Bavota, et al.. (2018). An empirical investigation into learning bug-fixing patches in the wild via neural machine translation. 832–837. 86 indexed citations
8.
Moran, Kevin, et al.. (2018). Detecting and summarizing GUI changes in evolving mobile apps. 543–553. 28 indexed citations
9.
Tufano, Michele, Cody Watson, Gabriele Bavota, et al.. (2018). Deep learning similarities from different representations of source code. 542–553. 105 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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Breakdown of academic impact, for papers by Jibesh Patra Breakdown of academic impact, for papers by Nadia Alshahwan Breakdown of academic impact, for papers by Zachary P. Fry Breakdown of academic impact, for papers by Lamyaa Eloussi Breakdown of academic impact, for papers by Yoonki Song Breakdown of academic impact, for papers by Hong Jin Kang Breakdown of academic impact, for papers by Steve Kommrusch Breakdown of academic impact, for papers by Darren C. Atkinson Breakdown of academic impact, for papers by Quanjun Zhang
Rankless by CCL
2026