G. Chrisikos

848 total citations
20 papers, 642 citations indexed

About

G. Chrisikos is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, G. Chrisikos has authored 20 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 3 papers in Ocean Engineering. Recurrent topics in G. Chrisikos's work include Advanced Wireless Communication Techniques (14 papers), Wireless Communication Networks Research (12 papers) and Advanced MIMO Systems Optimization (5 papers). G. Chrisikos is often cited by papers focused on Advanced Wireless Communication Techniques (14 papers), Wireless Communication Networks Research (12 papers) and Advanced MIMO Systems Optimization (5 papers). G. Chrisikos collaborates with scholars based in United States, India and Austria. G. Chrisikos's co-authors include Moe Z. Win, N.R. Sollenberger, J.H. Winters, H. Vincent Poor, Yuan Shen, Wenhan Dai, A.A. Moulthrop, Christopher J. Clark, M.S. Muha and Ranjan K. Mallik and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

G. Chrisikos

18 papers receiving 614 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Chrisikos United States 10 610 290 154 54 38 20 642
Thomas Derham Japan 9 270 0.4× 152 0.5× 175 1.1× 62 1.1× 50 1.3× 17 434
Ahmed Elzanaty United Kingdom 13 513 0.8× 173 0.6× 354 2.3× 39 0.7× 37 1.0× 52 705
Kai Luo China 17 557 0.9× 268 0.9× 207 1.3× 17 0.3× 33 0.9× 54 737
Arash Behboodi Germany 12 352 0.6× 88 0.3× 119 0.8× 67 1.2× 50 1.3× 48 429
G. Barriac United States 9 882 1.4× 793 2.7× 226 1.5× 13 0.2× 31 0.8× 18 1.0k
Yi Lou China 12 478 0.8× 138 0.5× 214 1.4× 101 1.9× 41 1.1× 39 639
Peter Almers Sweden 18 1.2k 2.0× 386 1.3× 426 2.8× 25 0.5× 32 0.8× 34 1.3k
Soheil Salari Iran 13 330 0.5× 224 0.8× 63 0.4× 57 1.1× 34 0.9× 50 422
Song Noh South Korea 13 740 1.2× 184 0.6× 273 1.8× 16 0.3× 19 0.5× 43 803
Cecilia Carbonelli Germany 11 508 0.8× 170 0.6× 151 1.0× 112 2.1× 18 0.5× 39 592

Countries citing papers authored by G. Chrisikos

Since Specialization
Citations

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

Fields of papers citing papers by G. Chrisikos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Chrisikos

This figure shows the co-authorship network connecting the top 25 collaborators of G. Chrisikos. A scholar is included among the top collaborators of G. Chrisikos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Chrisikos. G. Chrisikos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Win, Moe Z., R. Michael Buehrer, G. Chrisikos, Andrea Conti, & H. Vincent Poor. (2018). Foundations and Trends in Localization Technologies—Part II [Scanning the Issue]. Proceedings of the IEEE. 106(7). 1132–1135. 7 indexed citations
2.
Win, Moe Z., R. Michael Buehrer, G. Chrisikos, Andrea Conti, & H. Vincent Poor. (2018). Foundations and Trends in Localization Technologies — Part I [Scanning the Issue]. Proceedings of the IEEE. 106(6). 1019–1021. 9 indexed citations
3.
Win, Moe Z., Wenhan Dai, Yuan Shen, G. Chrisikos, & H. Vincent Poor. (2018). Network Operation Strategies for Efficient Localization and Navigation. Proceedings of the IEEE. 106(7). 1224–1254. 129 indexed citations
4.
5.
Win, Moe Z., G. Chrisikos, & Andreas F. Molisch. (2006). Wideband diversity in multipath channels with nonuniform power dispersion profiles. IEEE Transactions on Wireless Communications. 5(5). 1014–1022. 18 indexed citations
6.
Win, Moe Z., G. Chrisikos, & N.R. Sollenberger. (2003). Impact of spreading bandwidth and diversity order on the error probability performance of RAKE reception in dense multipath channels. 1558–1562. 2 indexed citations
7.
Win, Moe Z., Ranjan K. Mallik, & G. Chrisikos. (2003). Higher order statistics of antenna subset diversity. IEEE Transactions on Wireless Communications. 2(5). 871–875. 44 indexed citations
8.
Win, Moe Z., G. Chrisikos, & J.H. Winters. (2003). Error probability for M-ary modulation in correlated Nakagami channels using maximal ratio combining. 1. 70–75. 5 indexed citations
9.
Win, Moe Z., Ranjan K. Mallik, G. Chrisikos, & J.H. Winters. (2003). Canonical expressions for the error probability performance of M-ary modulation with hybrid selection/maximal-ratio combining in Rayleigh fading. 266–270. 21 indexed citations
10.
Win, Moe Z., G. Chrisikos, & J.H. Winters. (2003). Error probability for M-ary modulation using hybrid selection/maximal-ratio combining in Rayleigh fading. 2. 944–948. 8 indexed citations
11.
Chrisikos, G. & Christopher J. Clark. (2002). Bit error rate analysis in wireless systems modeling. 141–143.
12.
Win, Moe Z., G. Chrisikos, Andreas F. Molisch, & N.R. Sollenberger. (2002). Selective RAKE diversity in multipath fading with arbitrary power delay profile. 2. 960–964. 8 indexed citations
13.
Chrisikos, G. & Moe Z. Win. (2002). Performance of quadrature amplitude modulation with nonlinear transmit amplifiers in Rayleigh fading. 51–54. 3 indexed citations
14.
Chrisikos, G.. (2002). Analysis of 16-QAM over a nonlinear channel. 3. 1325–1329. 7 indexed citations
15.
Win, Moe Z., Ranjan K. Mallik, G. Chrisikos, & J.H. Winters. (2002). Higher order statistics of the output SNR of hybrid selection/maximal-ratio combining. 2. 922–926. 2 indexed citations
16.
Chrisikos, G., et al.. (2002). A nonlinear ARMA model for simulating power amplifiers. 2. 733–736. 10 indexed citations
17.
Win, Moe Z., G. Chrisikos, & J.H. Winters. (2000). MRC performance for M-ary modulation in arbitrarily correlated Nakagami fading channels. IEEE Communications Letters. 4(10). 301–303. 93 indexed citations
18.
Win, Moe Z., G. Chrisikos, & N.R. Sollenberger. (2000). Effects of chip rate on selective RAKE combining. IEEE Communications Letters. 4(7). 233–235. 13 indexed citations
19.
Win, Moe Z., G. Chrisikos, & N.R. Sollenberger. (2000). Performance of RAKE reception in dense multipath channels: implications of spreading bandwidth and selection diversity order. IEEE Journal on Selected Areas in Communications. 18(8). 1516–1525. 149 indexed citations
20.
Clark, Christopher J., et al.. (1998). Time-domain envelope measurement technique with application to wideband power amplifier modeling. IEEE Transactions on Microwave Theory and Techniques. 46(12). 2531–2540. 114 indexed citations

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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