John Wickerson

1.2k total citations
63 papers, 632 citations indexed

About

John Wickerson is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, John Wickerson has authored 63 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Hardware and Architecture, 34 papers in Computer Networks and Communications and 12 papers in Computational Theory and Mathematics. Recurrent topics in John Wickerson's work include Parallel Computing and Optimization Techniques (45 papers), Embedded Systems Design Techniques (31 papers) and Distributed systems and fault tolerance (16 papers). John Wickerson is often cited by papers focused on Parallel Computing and Optimization Techniques (45 papers), Embedded Systems Design Techniques (31 papers) and Distributed systems and fault tolerance (16 papers). John Wickerson collaborates with scholars based in United Kingdom, United States and Switzerland. John Wickerson's co-authors include George A. Constantinides, Alastair F. Donaldson, Tyler Sorensen, Mark Batty, Jeroen Ketema, Junyi Liu, Viktor Vafeiadis, Azalea Raad, Lana Josipović and Jade Alglave and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

John Wickerson

59 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Wickerson United Kingdom 15 514 332 143 104 100 63 632
Ingo Sander Sweden 14 654 1.3× 347 1.0× 101 0.7× 61 0.6× 139 1.4× 112 774
Steve Tjiang United States 11 681 1.3× 390 1.2× 186 1.3× 143 1.4× 93 0.9× 16 796
Y. N. Srikant India 13 326 0.6× 230 0.7× 85 0.6× 119 1.1× 58 0.6× 70 476
Manjunath Kudlur United States 16 823 1.6× 686 2.1× 129 0.9× 65 0.6× 90 0.9× 25 932
Sorav Bansal India 12 275 0.5× 546 1.6× 107 0.7× 133 1.3× 68 0.7× 29 734
Heiko Falk Germany 17 870 1.7× 371 1.1× 74 0.5× 66 0.6× 95 0.9× 71 967
Marek Olszewski United States 14 808 1.6× 708 2.1× 201 1.4× 197 1.9× 65 0.7× 22 998
R. S. Nikhil United States 10 690 1.3× 603 1.8× 107 0.7× 85 0.8× 70 0.7× 17 832
Michael Schlansker United States 18 916 1.8× 566 1.7× 164 1.1× 114 1.1× 106 1.1× 44 1.0k
Glenn Holloway United States 13 366 0.7× 198 0.6× 183 1.3× 139 1.3× 63 0.6× 19 576

Countries citing papers authored by John Wickerson

Since Specialization
Citations

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

Fields of papers citing papers by John Wickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wickerson

This figure shows the co-authorship network connecting the top 25 collaborators of John Wickerson. A scholar is included among the top collaborators of John Wickerson 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 John Wickerson. John Wickerson 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.
Donaldson, Alastair F., et al.. (2025). Formalising CXL Cache Coherence. 437–450. 2 indexed citations
2.
Wickerson, John, et al.. (2024). Automated Feature Testing of Verilog Parsers using Fuzzing (Registered Report). 70–79. 1 indexed citations
3.
Brotherston, J G., et al.. (2024). Mix Testing: Specifying and Testing ABI Compatibility of C/C++ Atomics Implementations. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 442–467.
4.
Wickerson, John, et al.. (2024). Hyperblock Scheduling for Verified High-Level Synthesis. Proceedings of the ACM on Programming Languages. 8(PLDI). 1929–1953.
5.
Donaldson, Alastair F., et al.. (2024). Validating Database System Isolation Level Implementations with Version Certificate Recovery. 754–768. 4 indexed citations
6.
Josipović, Lana, et al.. (2023). Parallelising Control Flow in Dynamic-scheduling High-level Synthesis. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–32. 2 indexed citations
7.
Wickerson, John, et al.. (2023). Balancing Static Islands in Dynamically Scheduled Circuits Using Continuous Petri Nets. IEEE Transactions on Computers. 72(11). 3300–3313. 2 indexed citations
8.
Josipović, Lana, et al.. (2022). Dynamic Inter-Block Scheduling for HLS. Spiral (Imperial College London). 243–252. 8 indexed citations
9.
Chen, Yu Ting, et al.. (2021). Efficient Memory Arbitration in High-Level Synthesis From Multi-Threaded Code. IEEE Transactions on Computers. 71(4). 933–946. 6 indexed citations
10.
Josipović, Lana, et al.. (2021). DASS: Combining Dynamic & Static Scheduling in High-Level Synthesis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(3). 628–641. 10 indexed citations
11.
Constantinides, George A., et al.. (2020). Global Analysis of C Concurrency in High-Level Synthesis. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(1). 24–37.
12.
Constantinides, George A., et al.. (2020). Precise Pointer Analysis in High-Level Synthesis. Spiral (Imperial College London). 220–224. 4 indexed citations
13.
Li, He, James J. Davis, John Wickerson, & George A. Constantinides. (2019). architect: Arbitrary-Precision Hardware With Digit Elision for Efficient Iterative Compute. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(2). 516–529. 8 indexed citations
14.
Raad, Azalea, John Wickerson, & Viktor Vafeiadis. (2019). Weak persistency semantics from the ground up: formalising the persistency semantics of ARMv8 and transactional models. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–27. 23 indexed citations
15.
Wickerson, John, Mark Batty, Tyler Sorensen, & George A. Constantinides. (2017). Automatically comparing memory consistency models. ACM SIGPLAN Notices. 52(1). 190–204. 7 indexed citations
16.
Liu, Junyi, John Wickerson, & George A. Constantinides. (2017). Tile size selection for optimized memory reuse in high-level synthesis. Spiral (Imperial College London). 1–8. 5 indexed citations
17.
Wickerson, John, et al.. (2016). A Case for Work-stealing on FPGAs with OpenCL Atomics. Spiral (Imperial College London). 48–53. 28 indexed citations
18.
Alglave, Jade, Mark Batty, Alastair F. Donaldson, et al.. (2015). GPU Concurrency. Kent Academic Repository (University of Kent). 577–591. 81 indexed citations
19.
Fleming, Kermin, et al.. (2015). Custom-sized caches in application-specific memory hierarchies. 144–151. 5 indexed citations
20.
Wickerson, John. (2014). Syntax and semantics of a GPU kernel programming language.. 2014. 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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