Will Snipes

998 total citations
24 papers, 713 citations indexed

About

Will Snipes is a scholar working on Information Systems, Software and Computer Science Applications. According to data from OpenAlex, Will Snipes has authored 24 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 13 papers in Software and 6 papers in Computer Science Applications. Recurrent topics in Will Snipes's work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (10 papers). Will Snipes is often cited by papers focused on Software Engineering Research (23 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (10 papers). Will Snipes collaborates with scholars based in United States, Switzerland and Canada. Will Snipes's co-authors include Laurie Williams, Andrew Meneely, Jason A. Osborne, J.P. Hudepohl, Nachiappan Nagappan, Mladen A. Vouk, Jiang Zheng, Carolyn Seaman, B. L. Robinson and Anil Nair and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Software and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

Will Snipes

23 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Snipes United States	12	576	316	158	156	103	24	713
Ciera Jaspan United States	14	477 0.8×	237 0.8×	131 0.8×	127 0.8×	166 1.6×	41	719
Cornelia Boldyreff United Kingdom	15	448 0.8×	114 0.4×	164 1.0×	147 0.9×	156 1.5×	84	676
André L. M. Santos Brazil	13	381 0.7×	195 0.6×	121 0.8×	120 0.8×	209 2.0×	74	752
Michael Coblenz United States	10	551 1.0×	199 0.6×	136 0.9×	150 1.0×	181 1.8×	27	678
Maurício Aniche Netherlands	17	636 1.1×	368 1.2×	215 1.4×	153 1.0×	133 1.3×	39	781
Christopher Scaffidi United States	16	374 0.6×	200 0.6×	124 0.8×	262 1.7×	245 2.4×	63	768
Vigdis By Kampenes Norway	8	911 1.6×	337 1.1×	171 1.1×	211 1.4×	269 2.6×	8	1.1k
Jacek Czerwonka United States	15	555 1.0×	432 1.4×	165 1.0×	127 0.8×	64 0.6×	29	712
Kathryn T. Stolee United States	18	823 1.4×	532 1.7×	125 0.8×	306 2.0×	244 2.4×	58	1.1k
Bente Anda Norway	16	984 1.7×	496 1.6×	211 1.3×	175 1.1×	290 2.8×	27	1.1k

Countries citing papers authored by Will Snipes

Since Specialization

Citations

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

Fields of papers citing papers by Will Snipes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Snipes

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

All Works

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20 of 20 papers shown

Snipes, Will & Srini Ramaswamy. (2018). A proposed sizing model for managing 3rd party code technical debt. 72–75. 2 indexed citations

Mo, Ran, Will Snipes, Yuanfang Cai, et al.. (2018). Experiences applying automated architecture analysis tool suites. 779–789. 29 indexed citations

Snipes, Will, et al.. (2018). A Case Study of the Effects of Architecture Debt on Software Evolution Effort. 400–403. 3 indexed citations

Züger, Manuela, André N. Meyer, Boyang Li, et al.. (2017). Reducing Interruptions at Work. Zurich Open Repository and Archive (University of Zurich). 61–72. 52 indexed citations

Hudepohl, J.P., et al.. (2017). Deploying Software Team Analytics in a Multinational Organization. IEEE Software. 35(1). 72–76. 9 indexed citations

Pollock, Lori, et al.. (2016). A case study of program comprehension effort and technical debt estimations. 1–9. 8 indexed citations

Wahler, Michael, et al.. (2016). Improving Code Maintainability: A Case Study on the Impact of Refactoring. 493–501. 11 indexed citations

Izurieta, Clemente, İpek Özkaya, Carolyn Seaman, et al.. (2016). Perspectives on managing technical debt : A transition point and roadmap from Dagstuhl. University of Groningen research database (University of Groningen / Centre for Information Technology). 84–87. 12 indexed citations

Francis, Patrick, et al.. (2015). A Field Study on Fostering Structural Navigation with Prodet. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 229–238. 7 indexed citations

10.

Snipes, Will, Anil Nair, & Emerson Murphy-Hill. (2014). Experiences gamifying developer adoption of practices and tools. 105–114. 35 indexed citations

11.

Snipes, Will, et al.. (2013). Towards recognizing and rewarding efficient developer work patterns. 1277–1280. 10 indexed citations

12.

Snipes, Will, et al.. (2013). Towards recognizing and rewarding efficient developer work patterns. 2013 35th International Conference on Software Engineering (ICSE). 6 indexed citations

13.

Snipes, Will, B. L. Robinson, Yuepu Guo, & Carolyn Seaman. (2012). Defining the decision factors for managing defects: a technical debt perspective. 54–60. 31 indexed citations

14.

Snipes, Will, B. L. Robinson, Yuepu Guo, & Carolyn Seaman. (2012). Defining the decision factors for managing defects: A technical debt perspective. 54–60. 27 indexed citations

15.

Snipes, Will, B. L. Robinson, & Emerson Murphy-Hill. (2011). Code Hot Spot: A tool for extraction and analysis of code change history. 392–401. 2 indexed citations

16.

Snipes, Will, et al.. (2009). Approximating Deployment Metrics to Predict Field Defects and Plan Corrective Maintenance Activities. 90–98. 4 indexed citations

17.

Meneely, Andrew, Laurie Williams, Will Snipes, & Jason A. Osborne. (2008). Predicting failures with developer networks and social network analysis. 13–23. 173 indexed citations

18.

Zheng, Jiang, Laurie Williams, Nachiappan Nagappan, et al.. (2006). On the value of static analysis for fault detection in software. IEEE Transactions on Software Engineering. 32(4). 240–253. 187 indexed citations

19.

Nagappan, Nachiappan, Laurie Williams, J.P. Hudepohl, Will Snipes, & Mladen A. Vouk. (2005). Preliminary Results On Using Static Analysis Tools For Software Inspection. 429–439. 35 indexed citations

20.

Hudepohl, J.P., et al.. (2003). A methodology to improve switching system software service quality and reliability. 1671–1678. 1 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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