J.O. Limb

3.0k citations
64 papers · 2.1k · h-index 23

Impact in

Papers in

J.O. Limb

61 papers receiving 1.8k citations

Peers

J.O. Limb
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 959
  • Computer Networks and Communications 855
  • Signal Processing 396
  • Media Technology 110
  • Electrical and Electronic Engineering 593
Replace Barry G. Haskell with:
Barry G. Haskell United States
Hans‐Jürgen Zepernick Sweden
Panos Nasiopoulos Canada
Fréderic Dufaux France
Marco Grangetto Italy
C. Christopoulos Sweden
Yuewei Dai China
D. Sakrison United States
Yiannis Andreopoulos United Kingdom
William Turin United States
J.O. Limb relative to Barry G. Haskell United States Barry G. Haskell's profile →
Citations per field
00.5×3.1×
Barry G. Haskell · 1×
Citations per year

Countries citing papers authored by J.O. Limb

Since Specialization
Citations

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

Fields of papers citing papers by J.O. Limb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.O. Limb. 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 J.O. Limb. The network helps show where J.O. Limb may publish in the future.

Co-authors

The 25 scholars most cited alongside J.O. Limb, 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 J.O. Limb Line = papers co-authored together J.O. Limb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980318
2 2000226
3 1982183
4 1975145
5 2005104
6 197997
7 196973
8 197769
9 197762
10 197561
11
Advances in Local Area Networks
198755
12 198348
13 198937
14 197436
15 196734
16 197833
17 199032
18 196929
19 197427
20 200025

About J.O. Limb

J.O. Limb is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Atomic and Molecular Physics, and Optics, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (15 papers), Advanced Data Compression Techniques (14 papers), Color Science and Applications (10 papers), Network Traffic and Congestion Control (9 papers), Mobile Ad Hoc Networks (9 papers), Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (7 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (959 citations), Computer Networks and Communications (855 citations), Signal Processing (396 citations), Media Technology (110 citations) and Electrical and Electronic Engineering (593 citations). J.O. Limb has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Arun N. Netravali, Ajay Gummalla, C. B. Rubinstein, Carlos Flores, J. Anthony Murphy, Hyoung-Kee Choi, R. F. W. Pease, Fouad A. Tobagi, F. W. Mounts and Ülker Tulunay-Keesey. Their work appears in journals such as IEEE Transactions on Communications, Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and Vision Research.

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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