P. Hedelin

1.1k citations
70 papers · 674 · h-index 14

Impact in

Papers in

P. Hedelin

67 papers receiving 611 citations

Peers

P. Hedelin
Comparison fields: 5 of 49
  • Signal Processing 427
  • Computer Vision and Pattern Recognition 466
  • Artificial Intelligence 225
  • Computational Mechanics 98
  • Computer Networks and Communications 95
Replace Jan Skoglund with:
Jan Skoglund United States
Stephen Voran United States
S.V. Andersen Denmark
Thomas E. Tremain United States
Mukund Padmanabhan United States
K. Järvinen Finland
Jelena Nikolić Serbia
Venkatraman Atti United States
M. Ross United States
J. McDonough Germany
P. Hedelin relative to Jan Skoglund United States Jan Skoglund's profile →
Citations per field
00.5×1.5×2×2.3×
Jan Skoglund · 1×
Citations per year

Countries citing papers authored by P. Hedelin

Since Specialization
Citations

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

Fields of papers citing papers by P. Hedelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside P. Hedelin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Hedelin Line = papers co-authored together P. Hedelin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000132
2 200143
3 199937
4 200832
5
Theory for transmission of vector quantization data
199525
6 200223
7 200323
8 200522
9 200221
10 199920
11 200518
12 200217
13
Vector quantization for speech transmission
199516
14 199316
15 200214
16 200213
17 200213
18 197712
19 200311
20 20039

About P. Hedelin

P. Hedelin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, having authored 70 papers that have together received 674 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (54 papers), Speech and Audio Processing (27 papers), Digital Filter Design and Implementation (15 papers), Speech Recognition and Synthesis (15 papers), Advanced Adaptive Filtering Techniques (11 papers), Image and Signal Denoising Methods (10 papers), Blind Source Separation Techniques (7 papers) and Algorithms and Data Compression (7 papers). The work is most often cited by research in Signal Processing (427 citations), Computer Vision and Pattern Recognition (466 citations), Artificial Intelligence (225 citations), Computational Mechanics (98 citations) and Computer Networks and Communications (95 citations). P. Hedelin has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Jan Skoglund, Mikael Skoglund, Johan Samuelsson, Roar Hagen, Jessica Lindblom, Thomas Eriksson, Daniel Persson, Jonas Lindblom, Anders Bergström and Lars F. Villemoes. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Information Theory, IEEE Transactions on Image Processing, IEEE Transactions on Broadcasting and Information Sciences.

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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