I.J. Fair

962 citations
78 papers · 665 indexed · h-index 13

I.J. Fair

70 papers receiving 642 citations

Peers

I.J. Fair
Comparison fields: 5 of 31
  • Computer Networks and Communications 402
  • Computational Theory and Mathematics 168
  • Electrical and Electronic Engineering 516
  • Artificial Intelligence 214
  • Signal Processing 19
Replace U. Wachsmann with:
U. Wachsmann Germany
Eirik Rosnes Norway
Hong‐Yeop Song South Korea
Navin Kashyap India
Andrew Thangaraj India
Aslan Tchamkerten France
Brian M. Kurkoski Japan
M.C. Davey United Kingdom
Rolf Johannesson Sweden
M.U. Siddiqi Malaysia
I.J. Fair relative to U. Wachsmann Germany U. Wachsmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by I.J. Fair

Since Specialization
Citations

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

Fields of papers citing papers by I.J. Fair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside I.J. Fair, 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 I.J. Fair Line = papers co-authored together I.J. Fair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201812
2 20167
3 20140
4 20133
5 20131
6 201212
7 20112
8 20109
9 20083
10 20080
11 200719
12 20062
13 20054
14 200417
15 20046
16 20034
17 200312
18 20020
19 199512
20 199160

About I.J. Fair

I.J. Fair is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (48 papers), Cellular Automata and Applications (34 papers), Error Correcting Code Techniques (26 papers), Algorithms and Data Compression (22 papers), Wireless Communication Networks Research (17 papers), graph theory and CDMA systems (13 papers), Coding theory and cryptography (12 papers) and DNA and Biological Computing (9 papers). The work is most often cited by research in Computer Networks and Communications (402 citations), Computational Theory and Mathematics (168 citations), Electrical and Electronic Engineering (516 citations), Artificial Intelligence (214 citations) and Signal Processing (19 citations). I.J. Fair has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Witold A. Krzymień, Xin Yan, W.D. Grover, R.I. MacDonald, Yan Xin, Yue Wang, Xiaodai Dong, V.K. Bhargava, Bartosz Mielczarek and Ge Li. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Journal on Selected Areas in Communications and Electronics 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.

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