Craig Zilles

4.7k citations
142 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Teaching and Learning Programming (51 papers)Parallel Computing and Optimization Techniques (42 papers)Experimental Learning in Engineering (23 papers)

In The Last Decade

Craig Zilles

128 papers receiving 3.1k citations

Hit Papers

A constraint-based god-object method for haptic display20022026201020182002100200300400500

Peers

Craig Zilles
Comparison fields: 5 of 96
  • Hardware and Architecture 1.3k
  • Computer Networks and Communications 1.1k
  • Computer Science Applications 667
  • Mechanical Engineering 637
  • Electrical and Electronic Engineering 404
Replace Frank Vahid with:
Frank Vahid United States
Marc H. Brown United States
George G. Robertson United States
Marilyn Wolf United States
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Yunxin Liu China
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Craig Zilles relative to Frank Vahid United States Frank Vahid's profile →
Citations per field
00.5×6.9×
Frank Vahid · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 1
7 0
8 0
9 15
10 3
11 0
12 1
13 3
14 1
15 1
16 1
17 34
18
Student misconcfptions in an introductory digital logic design course
3
19 38
20 42

About Craig Zilles

Craig Zilles is a scholar working on Computer Science Applications, Hardware and Architecture and Software, having authored 142 papers that have together received 3.3k indexed citations. Recurring topics across this work include Teaching and Learning Programming (51 papers), Parallel Computing and Optimization Techniques (42 papers) and Experimental Learning in Engineering (23 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Science Applications (667 citations) and Human-Computer Interaction (390 citations). Craig Zilles has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Gurindar S. Sohi, J. Kenneth Salisbury, Geoffrey Herman, Matthew West, Michael C. Loui, Lisa C. Kaczmarczyk, Derek Brock, K. Salisbury, Thomas Massie and Ravi Rajwar. Their work appears in journals such as IBM Journal of Research and Development, Journal of Engineering Education and ACM SIGPLAN Notices.

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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