Johnson Kin

510 total citations
10 papers, 345 citations indexed

About

Johnson Kin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Johnson Kin has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 7 papers in Computer Networks and Communications and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Johnson Kin's work include Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (9 papers) and Advanced Data Storage Technologies (3 papers). Johnson Kin is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (9 papers) and Advanced Data Storage Technologies (3 papers). Johnson Kin collaborates with scholars based in United States. Johnson Kin's co-authors include William H. Mangione-Smith, Munish Kumar Gupta, Darko Kirovski, Chunho Lee and Miodrag Potkonjak and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and International Journal of Parallel Programming.

In The Last Decade

Johnson Kin

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johnson Kin United States 6 323 216 139 31 12 10 345
Ilya Issenin United States 11 293 0.9× 232 1.1× 108 0.8× 24 0.8× 10 0.8× 18 323
Nagu Dhanwada United States 10 252 0.8× 91 0.4× 267 1.9× 32 1.0× 10 0.8× 22 348
Ángel Manuel Gamaza Domínguez United States 6 332 1.0× 242 1.1× 74 0.5× 18 0.6× 39 3.3× 6 345
Jared C. Smolens United States 8 342 1.1× 264 1.2× 397 2.9× 33 1.1× 7 0.6× 14 446
Steven Raasch United States 10 280 0.9× 246 1.1× 157 1.1× 17 0.5× 38 3.2× 14 339
Greg Grohoski United States 7 227 0.7× 182 0.8× 101 0.7× 11 0.4× 14 1.2× 15 272
Jenn-Yuan Tsai United States 6 227 0.7× 197 0.9× 51 0.4× 14 0.5× 21 1.8× 10 260
Sven Goossens Netherlands 10 216 0.7× 146 0.7× 75 0.5× 7 0.2× 7 0.6× 14 244
Elena Moscu Panainte Netherlands 8 397 1.2× 304 1.4× 65 0.5× 25 0.8× 4 0.3× 14 423
David R. Galloway Canada 6 155 0.5× 88 0.4× 79 0.6× 11 0.4× 4 0.3× 7 187

Countries citing papers authored by Johnson Kin

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Kin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnson Kin

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

All Works

10 of 10 papers shown
1.
Kin, Johnson, et al.. (2003). Multithreaded Synchronous Data Flow Simulation. 11094–11095. 4 indexed citations
2.
Kin, Johnson, Munish Kumar Gupta, & William H. Mangione-Smith. (2002). The filter cache: an energy efficient memory structure. 184–193. 187 indexed citations
3.
Kirovski, Darko, Johnson Kin, & William H. Mangione-Smith. (2002). Procedure based program compression. 30. 204–213. 16 indexed citations
4.
Kin, Johnson, Chunho Lee, William H. Mangione-Smith, & Miodrag Potkonjak. (2001). Exploring the diversity of multimedia systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 9(3). 474–485. 1 indexed citations
5.
Kin, Johnson, Munish Kumar Gupta, & William H. Mangione-Smith. (2000). Filtering memory references to increase energy efficiency. IEEE Transactions on Computers. 49(1). 1–15. 59 indexed citations
6.
Lee, Chunho, Johnson Kin, Miodrag Potkonjak, & William H. Mangione-Smith. (1999). Designing power efficient hypermedia processors. 276–278. 4 indexed citations
7.
Kirovski, Darko, Johnson Kin, & William H. Mangione-Smith. (1999). Procedure Based Program Compression. International Journal of Parallel Programming. 27(6). 457–475. 1 indexed citations
8.
Kin, Johnson, Chunho Lee, William H. Mangione-Smith, & Miodrag Potkonjak. (1999). Power efficient mediaprocessors. 321–326. 20 indexed citations
9.
Lee, Chunho, Johnson Kin, Miodrag Potkonjak, & William H. Mangione-Smith. (1998). Media architecture. 321–326. 8 indexed citations
10.
Kirovski, Darko, Johnson Kin, & William H. Mangione-Smith. (1997). Procedure based program compression. International Symposium on Microarchitecture. 27(6). 204–213. 45 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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