P. Sweeney

1.7k total citations · 1 hit paper
48 papers, 1.0k citations indexed

About

P. Sweeney is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, P. Sweeney has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 24 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in P. Sweeney's work include Advanced Wireless Communication Techniques (22 papers), Error Correcting Code Techniques (17 papers) and Coding theory and cryptography (11 papers). P. Sweeney is often cited by papers focused on Advanced Wireless Communication Techniques (22 papers), Error Correcting Code Techniques (17 papers) and Coding theory and cryptography (11 papers). P. Sweeney collaborates with scholars based in United Kingdom, United States and Greece. P. Sweeney's co-authors include Steve Sullivan, Ming Chuang, David Calabrese, Hugues Hoppe, Adam G. Kirk, Alvaro Collet, Michael Hind, Matthew Arnold, David Grove and Stephen J. Fink and has published in prestigious journals such as Proceedings of the IEEE, ACM Transactions on Graphics and Electronics Letters.

In The Last Decade

P. Sweeney

45 papers receiving 929 citations

Hit Papers

High-quality streamable free-viewpoint video 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High-quality streamable free-viewpoint video
    2015 367 citations P. Sweeney et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Sweeney United Kingdom 12 438 377 270 247 222 48 1.0k
Warren A. Hunt United States 19 98 0.2× 323 0.9× 319 1.2× 292 1.2× 23 0.1× 72 1.1k
Isao Shirakawa Japan 14 258 0.6× 231 0.6× 158 0.6× 196 0.8× 32 0.1× 154 1.1k
Clark D. Thompson United States 12 770 1.8× 149 0.4× 343 1.3× 442 1.8× 61 0.3× 28 1.5k
Henk Meijer Canada 16 341 0.8× 204 0.5× 174 0.6× 73 0.3× 21 0.1× 100 826
Jai Menon United States 14 847 1.9× 53 0.1× 142 0.5× 283 1.1× 119 0.5× 32 1.1k
Yichen Xie United States 17 258 0.6× 161 0.4× 757 2.8× 183 0.7× 646 2.9× 38 1.5k
Daniel Greene United States 9 155 0.4× 172 0.5× 243 0.9× 33 0.1× 25 0.1× 18 720
Can Özturan Türkiye 15 254 0.6× 41 0.1× 56 0.2× 272 1.1× 103 0.5× 52 634
Conal Elliott United States 14 262 0.6× 121 0.3× 982 3.6× 403 1.6× 204 0.9× 32 1.4k
Thomas Willhalm Germany 16 799 1.8× 175 0.5× 173 0.6× 481 1.9× 285 1.3× 34 1.1k

Countries citing papers authored by P. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by P. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of P. Sweeney. A scholar is included among the top collaborators of P. Sweeney 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 P. Sweeney. P. Sweeney 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.
Tankelevitch, Lev, Kori Inkpen, John Tang, et al.. (2024). Hybridge: Bridging Spatiality for Inclusive and Equitable Hybrid Meetings. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–39. 2 indexed citations
2.
Xiao, Zheng, et al.. (2010). THOR: A performance analysis tool for Java applications running on multicore systems. IBM Journal of Research and Development. 54(5). 4:1–4:17. 4 indexed citations
3.
Papaharalabos, Stylianos, P. Sweeney, B.G. Evans, & P. Takis Mathiopoulos. (2006). Improved performance SOVA turbo decoder. IEE Proceedings - Communications. 153(5). 586–586. 4 indexed citations
4.
Papaharalabos, Stylianos, P. Sweeney, & B.G. Evans. (2006). Constant log-MAP decoding algorithm for duo-binary turbo codes. Electronics Letters. 42(12). 709–710. 13 indexed citations
5.
Caşcaval, Cǎlin, Evelyn Duesterwald, P. Sweeney, & Robert W. Wisniewski. (2006). Performance and environment monitoring for continuous program optimization. IBM Journal of Research and Development. 50(2.3). 239–248. 27 indexed citations
6.
Arnold, Matthew, Stephen J. Fink, David Grove, Michael Hind, & P. Sweeney. (2005). A Survey of Adaptive Optimization in Virtual Machines. Proceedings of the IEEE. 93(2). 449–466. 141 indexed citations
7.
Allen, Ben, et al.. (2004). Error statistics of optimal and sub-optimal space-time trellis codes: concatenation requirements. University of Bedfordshire Repository (University of Bedfordshire). 2. 1007–1011. 3 indexed citations
8.
Sweeney, P., et al.. (2004). Video scene characteristic detection to improve digital watermarking transparency. IEE Proceedings - Vision Image and Signal Processing. 151(2). 146–146. 7 indexed citations
9.
Papaharalabos, Stylianos, P. Sweeney, & B.G. Evans. (2003). Modification of branch metric calculation to improve iterative SOVA decoding of turbo codes. Electronics Letters. 39(19). 1391–1392. 11 indexed citations
10.
Luo, Qinglin & P. Sweeney. (2003). Hybrid-ARQ protocols based on multilevel coded modulation. Electronics Letters. 39(14). 1063–1065. 4 indexed citations
11.
Sweeney, P., et al.. (2002). Oblivious robust watermarking method by image pre-processing. Electronics Letters. 38(14). 702–704. 3 indexed citations
12.
Sweeney, P., et al.. (2001). Method for combating random geometric attack onimage watermarking. Electronics Letters. 37(7). 420–421. 4 indexed citations
13.
Sweeney, P., et al.. (2000). Iterative soft-decision decoding of linear block codes. IEE Proceedings - Communications. 147(3). 133–133. 9 indexed citations
14.
Worrall, Stewart, Abdul Sadka, P. Sweeney, & A.M. Kondoz. (2000). Backward compatible user-defined data insertioninto MPEG-4 bitstreams. Electronics Letters. 36(12). 1036–1037. 7 indexed citations
15.
Sweeney, P., et al.. (1998). Suboptimal soft-decision decoding for some RS-codes. Electronics Letters. 34(10). 983–984. 1 indexed citations
16.
Leeb, Steven B., et al.. (1993). Development and Validation of a Transient Event Detector. 12 indexed citations
17.
Sweeney, P., et al.. (1991). Soft RS codes for half rate GSM channel. Electronics Letters. 27(2). 176–178. 2 indexed citations
18.
Sweeney, P., et al.. (1989). Three steps to views: extending the object-oriented paradigm. ACM SIGPLAN Notices. 24(10). 353–361. 7 indexed citations
19.
20.
Sweeney, P., et al.. (1989). Three steps to views: extending the object-oriented paradigm. 353–361. 81 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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