David Maze

487 total citations
10 papers, 334 citations indexed

About

David Maze is a scholar working on Computer Networks and Communications, Hardware and Architecture and General Health Professions. According to data from OpenAlex, David Maze has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 1 paper in General Health Professions. Recurrent topics in David Maze's work include Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (8 papers) and Interconnection Networks and Systems (7 papers). David Maze is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (8 papers) and Interconnection Networks and Systems (7 papers). David Maze collaborates with scholars based in United States. David Maze's co-authors include Saman Amarasinghe, Michal Karczmarek, William Thies, Jasper Lin, Henry Hoffmann, Jeremy Wong, Michael I. Gordon, Andrew A. Lamb, Rodric Rabbah and Matthew G. Brown and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and International Journal of Parallel Programming.

In The Last Decade

David Maze

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Maze United States	6	306	272	33	24	19	10	334
Jasper Lin United States	6	288 0.9×	255 0.9×	29 0.9×	23 1.0×	15 0.8×	7	311
Jeremy Wong United States	5	273 0.9×	240 0.9×	30 0.9×	22 0.9×	17 0.9×	7	297
Michal Karczmarek United States	10	403 1.3×	336 1.2×	38 1.2×	29 1.2×	24 1.3×	14	432
Andrew A. Lamb United States	6	288 0.9×	251 0.9×	31 0.9×	21 0.9×	19 1.0×	6	313
Rakesh Krishnaiyer United States	11	302 1.0×	306 1.1×	56 1.7×	37 1.5×	48 2.5×	17	380
Kathryn O’Brien United States	6	330 1.1×	303 1.1×	38 1.2×	39 1.6×	15 0.8×	10	358
Weirong Zhu United States	8	161 0.5×	165 0.6×	21 0.6×	36 1.5×	37 1.9×	15	218
Russell M. Clapp United States	7	292 1.0×	296 1.1×	66 2.0×	28 1.2×	24 1.3×	16	343
John W. C. Fu United States	4	343 1.1×	325 1.2×	35 1.1×	30 1.3×	30 1.6×	8	364
Stéphanie Moreaud France	6	278 0.9×	293 1.1×	82 2.5×	21 0.9×	15 0.8×	6	330

Countries citing papers authored by David Maze

Since Specialization

Citations

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

Fields of papers citing papers by David Maze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Maze

This figure shows the co-authorship network connecting the top 25 collaborators of David Maze. A scholar is included among the top collaborators of David Maze 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 Maze. David Maze 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.

Franke, Hubertus, et al.. (2012). Design and Implementation of a Network Centric Appliance Platform. 26. 204–207. 1 indexed citations

2.

Maze, David, et al.. (2009). Hardware and software trade-offs in the IBM DataPower XML XG4 processor card. Balisage series on markup technologies. 4. 3 indexed citations

3.

Amarasinghe, Saman, Michal Karczmarek, Jasper Lin, et al.. (2005). Language and Compiler Design for Streaming Applications. International Journal of Parallel Programming. 33(2-3). 261–278. 28 indexed citations

4.

Thies, William, Michael I. Gordon, Michal Karczmarek, et al.. (2004). Language and compiler design for streaming applications. ucb erl m01 1. 201–208. 7 indexed citations

5.

Gordon, Michael I., William Thies, Michal Karczmarek, et al.. (2002). A stream compiler for communication-exposed architectures. ACM SIGPLAN Notices. 37(10). 291–303. 9 indexed citations

6.

Gordon, Michael I., William Thies, Michal Karczmarek, et al.. (2002). A stream compiler for communication-exposed architectures. ACM SIGOPS Operating Systems Review. 36(5). 291–303. 5 indexed citations

7.

Gordon, Michael I., William Thies, Michal Karczmarek, et al.. (2002). A stream compiler for communication-exposed architectures. 291–303. 251 indexed citations

8.

Gordon, Michael I., William Thies, Michal Karczmarek, et al.. (2002). A stream compiler for communication-exposed architectures. ACM SIGARCH Computer Architecture News. 30(5). 291–303. 9 indexed citations

9.

Thies, William, Michal Karczmarek, Michael I. Gordon, et al.. (2002). A common machine language for grid-based architectures. ACM SIGARCH Computer Architecture News. 30(3). 13–14. 4 indexed citations

10.

Karczmarek, Michal, David Maze, Jeremy Wong, et al.. (2001). StreamIt: A Compiler for Streaming Applications. 17 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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