Ian Oppermann

2.8k total citations
95 papers, 1.9k citations indexed

About

Ian Oppermann is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ian Oppermann has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Electrical and Electronic Engineering, 51 papers in Computer Networks and Communications and 21 papers in Aerospace Engineering. Recurrent topics in Ian Oppermann's work include Wireless Communication Networks Research (41 papers), Ultra-Wideband Communications Technology (33 papers) and Advanced Wireless Communication Techniques (32 papers). Ian Oppermann is often cited by papers focused on Wireless Communication Networks Research (41 papers), Ultra-Wideband Communications Technology (33 papers) and Advanced Wireless Communication Techniques (32 papers). Ian Oppermann collaborates with scholars based in Finland, Australia and Italy. Ian Oppermann's co-authors include Alberto Rabbachin, Matti Hämäläinen, Jari Iinatti, L. Stoica, Kegen Yu, Branka Vucetic, Jussi Haapola, Z. Shelby, Jean‐Philippe Montillet and Heikki Repo and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Ian Oppermann

91 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Oppermann Finland 21 1.7k 620 583 401 153 95 1.9k
Gerard J. M. Janssen Netherlands 20 1.4k 0.9× 572 0.9× 607 1.0× 225 0.6× 136 0.9× 109 1.6k
W. Hirt Switzerland 18 1.5k 0.9× 460 0.7× 500 0.9× 336 0.8× 52 0.3× 37 1.8k
Alberto Rabbachin Finland 18 1.3k 0.8× 384 0.6× 649 1.1× 283 0.7× 105 0.7× 51 1.5k
A. Tarighat United States 20 2.9k 1.7× 488 0.8× 1.2k 2.1× 104 0.3× 428 2.8× 42 3.0k
Anthony F. Martone United States 22 562 0.3× 1.3k 2.0× 459 0.8× 382 1.0× 94 0.6× 135 1.8k
Qinghua Gao China 20 914 0.5× 154 0.2× 378 0.6× 263 0.7× 287 1.9× 54 1.2k
Kah Chan Teh Singapore 27 2.3k 1.4× 618 1.0× 1.7k 3.0× 117 0.3× 53 0.3× 218 2.8k
Amine Mezghani Germany 24 1.7k 1.0× 377 0.6× 546 0.9× 204 0.5× 25 0.2× 130 2.0k
Namyoon Lee South Korea 28 2.6k 1.5× 622 1.0× 1.5k 2.5× 212 0.5× 23 0.2× 159 2.9k
Wolfgang Gerstacker Germany 29 3.2k 1.9× 538 0.9× 1.8k 3.1× 159 0.4× 310 2.0× 239 3.5k

Countries citing papers authored by Ian Oppermann

Since Specialization
Citations

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

Fields of papers citing papers by Ian Oppermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Oppermann

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Oppermann. A scholar is included among the top collaborators of Ian Oppermann 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 Ian Oppermann. Ian Oppermann 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.
Gill, Asif Qumer, et al.. (2024). Towards the Development of a Copyright Risk Checker Tool for Generative Artificial Intelligence Systems. Digital Government Research and Practice. 5(4). 1–21. 2 indexed citations
2.
Xu, Richard Yi Da, et al.. (2019). Efficient Diversified Mini-Batch Selection using Variable High-layer Features. Asian Conference on Machine Learning. 300–315. 1 indexed citations
3.
Xu, Richard Yi Da, et al.. (2019). Realistic Image Generation using Region-phrase Attention. Asian Conference on Machine Learning. 284–299. 2 indexed citations
4.
Montillet, Jean‐Philippe, Kegen Yu, & Ian Oppermann. (2007). Location Performance Enhancement with Recursive Processing of Time-of-Arrival Measurements. 4 th. 1–5. 2 indexed citations
5.
Rabbachin, Alberto, Ian Oppermann, & Benoît Denis. (2006). ML Time-of-Arrival estimation based on low complexity UWB energy detection. 599–604. 48 indexed citations
6.
Rabbachin, Alberto, Ian Oppermann, & Benoît Denis. (2006). GML ToA Estimation Based on Low Complexity UWB Energy Detection. 4. 1–5. 26 indexed citations
7.
Tiuraniemi, S., L. Stoica, Alberto Rabbachin, & Ian Oppermann. (2006). A VLSI Implementation of Low Power, Low Data Rate UWB Transceiver for Location and Tracking Applications. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 43(1). 43–58. 4 indexed citations
8.
Stoica, L. & Ian Oppermann. (2006). Modelling and Simulation of a Non-Coherent IR UWB Transceiver Architecture with ToA Estimation. 1–5. 5 indexed citations
9.
Oppermann, Ian, Matti Hämäläinen, & Jari Iinatti. (2004). UWB theory and applications. J. Wiley eBooks. 345 indexed citations
10.
Oppermann, Ian, L. Stoica, Alberto Rabbachin, Z. Shelby, & Jussi Haapola. (2004). UWB wireless sensor networks: UWEN - a practical example. IEEE Communications Magazine. 42(12). S27–S32. 177 indexed citations
11.
Tujkovic, D. & Ian Oppermann. (2003). Performance Analysis and Constituent Code Design for Space-Time Turbo Coded Modulation over Fading Channels. 1 indexed citations
12.
Hämäläinen, Matti, et al.. (2003). Ultra-Wideband Signal Impact on the Performances of IEEE 802.11b and Bluetooth Networks. International Journal of Wireless Information Networks. 10(4). 201–210. 13 indexed citations
13.
Oppermann, Ian, et al.. (2002). Capacity and coverage in mixed traffic UMTS CDMA systems. 2. 470–475. 2 indexed citations
14.
Alexander, P.D., et al.. (2002). Iterative multi-user detection and channel estimation for CDMA with non-binary modulation. 5. 3168–3172. 1 indexed citations
15.
Oppermann, Ian, et al.. (2002). Modelling and simulation of an indoor radio channel at 20 GHz. 1. 744–748. 2 indexed citations
16.
Oppermann, Ian & Matti Latva‐aho. (2002). Capacity of a packetised wideband LMMSE CDMA system with antenna diversity. 3. 786–791. 2 indexed citations
17.
Oppermann, Ian & Branka Vucetic. (1996). Capacity of a Coded Direct Sequence Spread Spectrum System Over Fading Satellite Channels Using An Adaptive LMS-MMSE Receiver. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 2043–2049. 6 indexed citations
18.
Oppermann, Ian, Benjamin W. White, & Branka Vucetic. (1996). A Markov Model for Wide-Band Fading Channel Simulation in Micro-Cellular Systems (Special Issue on Personal Communications). IEICE Transactions on Communications. 79(9). 1215–1220. 3 indexed citations
19.
Oppermann, Ian, et al.. (1994). Pseudo Random Sequences with Good Cross-correlation Properties. International Symposium on Information Theory and its Applications. 1001. 3 indexed citations
20.
Oppermann, Ian, et al.. (1994). Performance of a Coded SSMA System and RAKE Reception in a Nakagami Fading Environment. International Symposium on Information Theory and its Applications. 121. 1 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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