T. Holliday

402 citations
15 papers · 259 · h-index 10

Impact in

Papers in

T. Holliday

15 papers receiving 253 citations

Peers

T. Holliday
Comparison fields: 5 of 27
  • Computer Networks and Communications 185
  • Electrical and Electronic Engineering 192
  • Computational Theory and Mathematics 33
  • Statistics and Probability 16
  • Statistical and Nonlinear Physics 15
Replace Mihaela Enachescu with:
Mihaela Enachescu United States
V.B. Balakirsky Germany
Eleni Drinea United States
J.R. Roche United States
Qiaoqiao Zhou Hong Kong
Laura Luzzi France
Louay Bazzi Lebanon
Toshiyasu Matsushima Japan
Phil Whiting United States
T. Holliday relative to Mihaela Enachescu United States Mihaela Enachescu's profile →
Citations per field
00.5×5.3×
Mihaela Enachescu · 1×
Citations per year

Countries citing papers authored by T. Holliday

Since Specialization
Citations

This map shows the geographic impact of T. Holliday'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 T. Holliday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Holliday more than expected).

Fields of papers citing papers by T. Holliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside T. Holliday, 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 T. Holliday Line = papers co-authored together T. Holliday links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200652
2 200433
3 200330
4 200529
5 200825
6 200519
7
On Entropy and Lyapunov Exponents for Finite-State Channels
200317
8 200315
9 20039
10 20069
11 19998
12 20067
13 20033
14 20062
15 20031

About T. Holliday

T. Holliday is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 15 papers that have together received 259 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Advanced Wireless Communication Techniques (6 papers), Wireless Communication Networks Research (5 papers), Advanced MIMO Systems Optimization (5 papers), Advanced Wireless Network Optimization (4 papers), Wireless Networks and Protocols (2 papers), Markov Chains and Monte Carlo Methods (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Computer Networks and Communications (185 citations), Electrical and Electronic Engineering (192 citations), Computational Theory and Mathematics (33 citations), Statistics and Probability (16 citations) and Statistical and Nonlinear Physics (15 citations). T. Holliday has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Andrea Goldsmith, Peter W. Glynn, Nicholas Bambos, H. Vincent Poor, Giovanni Pistone, Eva Riccomagno and Henry P. Wynn. Their work appears in journals such as IEEE Transactions on Information Theory, Computational Statistics and 2006 IEEE International Conference on Communications.

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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