David Lacey

617 total citations
10 papers, 347 citations indexed

About

David Lacey is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, David Lacey has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hardware and Architecture, 6 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in David Lacey's work include Formal Methods in Verification (6 papers), Logic, programming, and type systems (5 papers) and Parallel Computing and Optimization Techniques (4 papers). David Lacey is often cited by papers focused on Formal Methods in Verification (6 papers), Logic, programming, and type systems (5 papers) and Parallel Computing and Optimization Techniques (4 papers). David Lacey collaborates with scholars based in United States, United Kingdom and Denmark. David Lacey's co-authors include Harry Foster, Eric Van Wyk, Neil D. Jones, Stephen N. Elliott, William M. Chilian, Anna K. Brzezinska, Oege de Moor, Avi Ziv, Benedict R. Gaster and Alan J. Hu and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

David Lacey

10 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Lacey United States	7	162	154	126	116	58	10	347
Michael Mendler Germany	11	202 1.2×	143 0.9×	28 0.2×	171 1.5×	5 0.1×	49	428
Giuseppe Scollo Italy	9	207 1.3×	48 0.3×	106 0.8×	191 1.6×	8 0.1×	36	396
Mark D. Aagaard Canada	12	250 1.5×	158 1.0×	98 0.8×	168 1.4×	121 2.1×	47	389
Tomáš Vojnar Czechia	11	132 0.8×	112 0.7×	154 1.2×	137 1.2×	64 1.1×	61	346
Richard Raimi United States	4	318 2.0×	137 0.9×	201 1.6×	138 1.2×	67 1.2×	6	418
Mandayam Srivas United States	7	199 1.2×	147 1.0×	94 0.7×	116 1.0×	49 0.8×	32	312
Chandan Karfa India	10	149 0.9×	260 1.7×	88 0.7×	64 0.6×	81 1.4×	56	355
Michael Tautschnig United Kingdom	10	149 0.9×	250 1.6×	133 1.1×	153 1.3×	49 0.8×	34	404
Andy Gill United States	11	103 0.6×	137 0.9×	78 0.6×	222 1.9×	16 0.3×	32	290
Julien Signoles France	9	111 0.7×	77 0.5×	152 1.2×	188 1.6×	27 0.5×	25	313

Countries citing papers authored by David Lacey

Since Specialization

Citations

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

Fields of papers citing papers by David Lacey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lacey

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

All Works

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10 of 10 papers shown

1.

Lacey, David, et al.. (2009). Program transformations using temporal logic side conditions. ACM Transactions on Programming Languages and Systems. 31(4). 1–48. 7 indexed citations

2.

Gaster, Benedict R., et al.. (2009). Compilation Techniques for High Level Parallel Code. International Journal of Parallel Programming. 38(1). 4–18. 1 indexed citations

3.

Hu, Alan J., Tom Fitzpatrick, Rajeev Ranjan, et al.. (2007). Verification Coverage: When is Enough, Enough?. Proceedings - ACM IEEE Design Automation Conference. 744–745. 2 indexed citations

4.

Foster, Harry, et al.. (2004). Assertion-Based Design (Information Technology: Transmission, Processing & Storage). Springer eBooks. 1 indexed citations

5.

Lacey, David, et al.. (2004). Compiler Optimization Correctness by Temporal Logic. 17(3). 173–206. 16 indexed citations

6.

Moor, Oege de, David Lacey, & Eric Van Wyk. (2003). Universal Regular Path Queries. LISP and Symbolic Computation. 16(1-2). 15–35. 32 indexed citations

7.

Foster, Harry, et al.. (2003). Assertion-Based Design. 162 indexed citations

8.

Lacey, David, et al.. (2002). Proving correctness of compiler optimizations by temporal logic. ACM SIGPLAN Notices. 37(1). 283–294. 7 indexed citations

9.

Lacey, David, et al.. (2002). Proving correctness of compiler optimizations by temporal logic. 283–294. 62 indexed citations

10.

Elliott, Stephen N., David Lacey, William M. Chilian, & Anna K. Brzezinska. (1998). Peroxynitrite is a contractile agonist of cerebral artery smooth muscle cells. American Journal of Physiology-Heart and Circulatory Physiology. 275(5). H1585–H1591. 57 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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