Craig Zilles

4.7k total citations · 1 hit paper
142 papers, 3.3k citations indexed

About

Craig Zilles is a scholar working on Computer Science Applications, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Craig Zilles has authored 142 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Science Applications, 43 papers in Hardware and Architecture and 32 papers in Computer Networks and Communications. Recurrent topics in Craig Zilles's work include Teaching and Learning Programming (51 papers), Parallel Computing and Optimization Techniques (42 papers) and Experimental Learning in Engineering (23 papers). Craig Zilles is often cited by papers focused on Teaching and Learning Programming (51 papers), Parallel Computing and Optimization Techniques (42 papers) and Experimental Learning in Engineering (23 papers). Craig Zilles collaborates with scholars based in United States, United Kingdom and Brazil. Craig Zilles's co-authors include Gurindar S. Sohi, J. Kenneth Salisbury, Geoffrey Herman, Matthew West, Michael C. Loui, Lisa C. Kaczmarczyk, Ravi Rajwar, Cinda Heeren, Thomas Massie and Derek Brock and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Engineering Education and ACM SIGPLAN Notices.

In The Last Decade

Craig Zilles

128 papers receiving 3.1k citations

Hit Papers

A constraint-based god-ob... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig Zilles United States 30 1.3k 1.1k 667 637 404 142 3.3k
Greg Walsh United States 25 264 0.2× 1.7k 1.5× 173 0.3× 154 0.2× 199 0.5× 65 4.2k
George G. Robertson United States 30 321 0.2× 847 0.8× 145 0.2× 125 0.2× 128 0.3× 50 5.3k
Frank Vahid United States 39 4.2k 3.2× 2.6k 2.4× 212 0.3× 92 0.1× 1.5k 3.7× 295 5.3k
Mark Claypool United States 29 231 0.2× 2.0k 1.8× 243 0.4× 30 0.0× 556 1.4× 168 4.1k
Wolfgang Effelsberg Germany 28 105 0.1× 1.3k 1.1× 98 0.1× 58 0.1× 624 1.5× 245 3.8k
Yunxin Liu China 32 274 0.2× 1.1k 1.0× 104 0.2× 27 0.0× 856 2.1× 143 3.3k
Marilyn Wolf United States 33 2.1k 1.6× 1.9k 1.7× 36 0.1× 74 0.1× 1.2k 3.1× 234 4.6k
Lawrence A. Rowe United States 31 334 0.3× 2.1k 1.9× 47 0.1× 42 0.1× 135 0.3× 112 3.6k
Hongan Wang China 25 110 0.1× 180 0.2× 85 0.1× 70 0.1× 72 0.2× 203 2.4k
Chia Shen United States 34 99 0.1× 237 0.2× 90 0.1× 119 0.2× 87 0.2× 87 3.3k

Countries citing papers authored by Craig Zilles

Since Specialization
Citations

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

Fields of papers citing papers by Craig Zilles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Zilles

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Zilles. A scholar is included among the top collaborators of Craig Zilles 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 Craig Zilles. Craig Zilles 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.
Zilles, Craig, et al.. (2025). Exploring Different Specifications Grading Policies. 276–282.
3.
Smith, David H., et al.. (2025). Evaluating AI Models for Autograding Explain in Plain English Questions: Challenges and Considerations. ACM Transactions on Interactive Intelligent Systems. 15(4). 1–29.
6.
West, Matthew, et al.. (2024). A Comparison of Proctoring Regimens for Computer-Based Computer Science Exams. 185–191. 1 indexed citations
7.
Zilles, Craig, et al.. (2024). Evaluating Mastery-oriented Grading in an Intensive CS1 Course. 303–309. 1 indexed citations
9.
Smith, David H., et al.. (2023). Investigating the Effects of Testing Frequency on Programming Performance and Students' Behavior. 757–763. 1 indexed citations
10.
Smith, David H., et al.. (2023). Investigating the Role and Impact of Distractors on Parsons Problems in CS1 Assessments. 417–423. 3 indexed citations
12.
13.
Garcia, Dan, et al.. (2022). Actually Achieving "A's for All" (As Time and Interest Allow). 1175–1175. 1 indexed citations
14.
Zilles, Craig, David P. Bunde, Jaime Spacco, et al.. (2022). Spiffy Peer Instruction Questions. 1226–1227. 1 indexed citations
15.
Zilles, Craig, et al.. (2015). Branch vanguard. 323–335. 7 indexed citations
16.
Zilles, Craig, et al.. (2008). H A: A EA R S S. IEEE Micro. 28(1). 21–31. 5 indexed citations
17.
Zhou, Yuanyuan, et al.. (2007). Delta execution for software reliability. 16. 11 indexed citations
18.
Joshi, Rahul, Michael D. Bond, & Craig Zilles. (2004). Targeted path profiling: lower overhead path profiling for staged dynamic optimization systems. 239–250. 38 indexed citations
19.
Zilles, Craig & Gurindar S. Sohi. (2002). Master/Slave Speculative Parallelization. International Symposium on Microarchitecture. 85–96. 116 indexed citations
20.
Zilles, Craig, Joel Emer, & Gurindar S. Sohi. (1999). The use of multithreading for exception handling. International Symposium on Microarchitecture. 219–229. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026