S.-G. Haggman

1.2k total citations · 1 hit paper
12 papers, 824 citations indexed

About

S.-G. Haggman is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, S.-G. Haggman has authored 12 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in S.-G. Haggman's work include Advanced Wireless Communication Techniques (8 papers), Wireless Communication Networks Research (6 papers) and PAPR reduction in OFDM (5 papers). S.-G. Haggman is often cited by papers focused on Advanced Wireless Communication Techniques (8 papers), Wireless Communication Networks Research (6 papers) and PAPR reduction in OFDM (5 papers). S.-G. Haggman collaborates with scholars based in Finland and China. S.-G. Haggman's co-authors include Yuping Zhao, Natalia Y. Ermolova, N. Nefedov, Helka‐Liina Määttänen and J. Laurila and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Communications Letters and Aaltodoc (Aalto University).

In The Last Decade

S.-G. Haggman

12 papers receiving 754 citations

Hit Papers

Intercarrier interference self-cancellation scheme for OF... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.-G. Haggman Finland 7 810 471 40 28 23 12 824
Guangxin Yue China 12 602 0.7× 555 1.2× 44 1.1× 28 1.0× 27 1.2× 102 689
G.A. Awater Netherlands 10 768 0.9× 681 1.4× 44 1.1× 31 1.1× 26 1.1× 18 852
A. Stamoulis United States 12 849 1.0× 745 1.6× 58 1.4× 44 1.6× 29 1.3× 23 899
K.W. Halford United States 6 415 0.5× 409 0.9× 19 0.5× 39 1.4× 27 1.2× 10 487
Daoben Li China 10 315 0.4× 220 0.5× 25 0.6× 35 1.3× 9 0.4× 88 339
Raphaël Visoz France 10 416 0.5× 275 0.6× 35 0.9× 18 0.6× 15 0.7× 54 435
Hui‐Ling Lou United States 11 384 0.5× 287 0.6× 24 0.6× 28 1.0× 28 1.2× 38 411
Louay M. A. Jalloul United States 15 619 0.8× 495 1.1× 56 1.4× 69 2.5× 32 1.4× 49 649
Suvra Sekhar Das India 14 803 1.0× 363 0.8× 113 2.8× 15 0.5× 11 0.5× 98 839
Melda Yüksel Türkiye 14 635 0.8× 567 1.2× 146 3.6× 37 1.3× 8 0.3× 45 796

Countries citing papers authored by S.-G. Haggman

Since Specialization
Citations

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

Fields of papers citing papers by S.-G. Haggman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.-G. Haggman

This figure shows the co-authorship network connecting the top 25 collaborators of S.-G. Haggman. A scholar is included among the top collaborators of S.-G. Haggman 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 S.-G. Haggman. S.-G. Haggman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ermolova, Natalia Y., N. Nefedov, & S.-G. Haggman. (2005). An iterative method for non-linear channel equalization in OFDM systems. 150. 484–488. 2 indexed citations
2.
Määttänen, Helka‐Liina, Natalia Y. Ermolova, & S.-G. Haggman. (2005). Nonlinear amplification of clipped-filtered multicarrier signals. Aaltodoc (Aalto University). 2. 958–962. 2 indexed citations
3.
Ermolova, Natalia Y. & S.-G. Haggman. (2004). An extension of Bussgang's theory to complex-valued signals. 45–48. 12 indexed citations
4.
Zhao, Yuping & S.-G. Haggman. (2002). Sensitivity to Doppler shift and carrier frequency errors in OFDM systems-the consequences and solutions. 3. 1564–1568. 123 indexed citations
5.
Laurila, J., et al.. (2002). Simulations of the DECT receiver with the decision feedback equaliser. 2. 711–715. 1 indexed citations
7.
Zhao, Yuping & S.-G. Haggman. (2002). BER analysis of OFDM communication systems with intercarrier interference. vol.2. 5–5. 24 indexed citations
8.
Haggman, S.-G., et al.. (2002). New aspects on nonlinear power amplifier modeling in radio communication system simulations. 3. 844–848. 35 indexed citations
9.
Zhao, Yuping & S.-G. Haggman. (2001). Intercarrier interference self-cancellation scheme for OFDM mobile communication systems. IEEE Transactions on Communications. 49(7). 1185–1191. 513 indexed citations breakdown →
10.
Zhao, Yuping & S.-G. Haggman. (1998). A Study of Using Correlation Coding in OFDM Communication Systems. 380–384. 5 indexed citations
11.
Zhao, Yuping, et al.. (1998). Intercarrier interference compression in OFDM communication systems by using correlative coding. IEEE Communications Letters. 2(8). 214–216. 95 indexed citations
12.
Haggman, S.-G., et al.. (1997). A General Coding Method to Minimize Intercarrier Interference in OFDM Mobile Communication Systems. 231–235. 8 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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