P.G. Howard

1.7k citations
27 papers · 1.2k · h-index 16

Impact in

Papers in

P.G. Howard

27 papers receiving 1.1k citations

Peers

P.G. Howard
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 868
  • Signal Processing 326
  • Artificial Intelligence 689
  • Hardware and Architecture 78
  • Computer Networks and Communications 251
Replace Honggang Hu with:
Honggang Hu China
Kannan Srinathan India
J.-J. Quisquater Belgium
René Cumplido Mexico
Tzung‐Her Chen Taiwan
Paolo D’Arco Italy
William Josephson United States
J.G. Dunham United States
Shawmin Lei Taiwan
Spyros S. Magliveras United States
P.G. Howard relative to Honggang Hu China Honggang Hu's profile →
Citations per field
00.5×2.8×
Honggang Hu · 1×
Citations per year

Countries citing papers authored by P.G. Howard

Since Specialization
Citations

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

Fields of papers citing papers by P.G. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside P.G. Howard, 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.G. Howard Line = papers co-authored together P.G. Howard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994200
2 1998187
3 1992125
4 2002119
5
The design and analysis of efficient lossless data compression systems
199398
6 199281
7 199860
8 199255
9 199746
10 199932
11 200225
12 200225
13 200223
14 200219
15 200318
16 199417
17 199613
18 199413
19 200212
20 20029

About P.G. Howard

P.G. Howard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Algorithms and Data Compression (25 papers), Advanced Data Compression Techniques (18 papers), Numerical Methods and Algorithms (7 papers), Cellular Automata and Applications (6 papers), Video Coding and Compression Technologies (5 papers), Error Correcting Code Techniques (5 papers), Advanced Data Storage Technologies (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (868 citations), Signal Processing (326 citations), Artificial Intelligence (689 citations), Hardware and Architecture (78 citations) and Computer Networks and Communications (251 citations). P.G. Howard has collaborated with scholars based in United States, Canada and Burundi. Frequent co-authors include Jeffrey Scott Vitter, W.J. Rucklidge, F. Kossentini, Søren Forchhammer, B. Martins, Léon Bottou, Patrick Haffner, Yann LeCun, Yoshua Bengio and A. Puri. Their work appears in journals such as Information Processing & Management, IEEE Transactions on Circuits and Systems for Video Technology, The Computer Journal, Proceedings of the IEEE and Information Processing Letters.

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.

Explore authors with similar magnitude of impact