Jim Lawson

528 total citations
11 papers, 358 citations indexed

About

Jim Lawson is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jim Lawson has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hardware and Architecture, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Jim Lawson's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Distributed and Parallel Computing Systems (4 papers). Jim Lawson is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Distributed and Parallel Computing Systems (4 papers). Jim Lawson collaborates with scholars based in United States and United Kingdom. Jim Lawson's co-authors include Pat Hanrahan, Patrick Li, Albert Magyar, Jack Koenig, Colin Schmidt, Donggyu Kim, Jonathan Bachrach, Richard J. Lin and Donald L. Whitfill and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGGRAPH Computer Graphics.

In The Last Decade

Jim Lawson

11 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim Lawson United States	6	175	158	115	102	57	11	358
William Horn United States	8	356 2.0×	23 0.1×	238 2.1×	245 2.4×	43 0.8×	17	449
Jae‐Ho Nah South Korea	10	212 1.2×	43 0.3×	49 0.4×	246 2.4×	45 0.8×	38	323
Sébastien Collette Belgium	8	95 0.5×	68 0.4×	9 0.1×	45 0.4×	81 1.4×	34	237
Euee S. Jang South Korea	12	185 1.1×	29 0.2×	195 1.7×	430 4.2×	16 0.3×	62	529
Jeff Pool United States	8	26 0.1×	54 0.3×	15 0.1×	151 1.5×	37 0.6×	10	242
Venkatraman Govindaraju United States	9	27 0.2×	429 2.7×	9 0.1×	48 0.5×	354 6.2×	14	510
Teruhiko Suzuki United States	5	156 0.9×	10 0.1×	165 1.4×	322 3.2×	26 0.5×	10	455
Polychronis Xekalakis United Kingdom	12	32 0.2×	314 2.0×	4 0.0×	55 0.5×	246 4.3×	22	387
Ulrich Lauther Germany	9	58 0.3×	230 1.5×	4 0.0×	31 0.3×	92 1.6×	14	449
Sungdae Cho United States	8	13 0.1×	33 0.2×	8 0.1×	259 2.5×	42 0.7×	25	324

Countries citing papers authored by Jim Lawson

Since Specialization

Citations

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

Fields of papers citing papers by Jim Lawson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Lawson

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

All Works

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11 of 11 papers shown

1.

Koenig, Jack, Patrick Li, Richard J. Lin, et al.. (2017). Reusability is FIRRTL ground: hardware construction languages, compiler frameworks, and transformations. International Conference on Computer Aided Design. 209–216. 42 indexed citations

2.

Koenig, Jack, Patrick Li, Richard J. Lin, et al.. (2017). Reusability is FIRRTL ground: Hardware construction languages, compiler frameworks, and transformations. 209–216. 98 indexed citations

3.

Whitfill, Donald L., et al.. (2002). Drilling Salt – Effect of Drilling Fluid on Penetration Rate and Hole Size. 12 indexed citations

4.

Whitfill, Donald L., et al.. (2002). Drilling Salt - Effect of Drilling Fluid on Penetration Rate and Hole Size. Proceedings of IADC/SPE Drilling Conference. 1 indexed citations

5.

Hanrahan, Pat & Jim Lawson. (1990). A language for shading and lighting calculations. ACM SIGGRAPH Computer Graphics. 24(4). 289–298. 63 indexed citations

6.

Hanrahan, Pat & Jim Lawson. (1990). A language for shading and lighting calculations. 289–298. 129 indexed citations

7.

Hanrahan, Pat, et al.. (1987). Parallel computers for graphics applications. 193–198. 3 indexed citations

8.

Hanrahan, Pat, et al.. (1987). Parallel computers for graphics applications. ACM SIGPLAN Notices. 22(10). 193–198. 5 indexed citations

9.

Hanrahan, Pat, et al.. (1987). Parallel computers for graphics applications. ACM SIGARCH Computer Architecture News. 15(5). 193–198. 1 indexed citations

10.

Hanrahan, Pat, et al.. (1987). Parallel computers for graphics applications. ACM SIGOPS Operating Systems Review. 21(4). 193–198. 1 indexed citations

11.

Lawson, Jim. (1984). Probation in St. Pauls. Probation Journal. 31(3). 93–95. 3 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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