Nicholas J. Kaminski

432 total citations
27 papers, 290 citations indexed

About

Nicholas J. Kaminski is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Nicholas J. Kaminski has authored 27 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 4 papers in Media Technology. Recurrent topics in Nicholas J. Kaminski's work include Cognitive Radio Networks and Spectrum Sensing (8 papers), Advanced MIMO Systems Optimization (5 papers) and Wireless Communication Networks Research (5 papers). Nicholas J. Kaminski is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (8 papers), Advanced MIMO Systems Optimization (5 papers) and Wireless Communication Networks Research (5 papers). Nicholas J. Kaminski collaborates with scholars based in Ireland, United States and Italy. Nicholas J. Kaminski's co-authors include Luiz A. DaSilva, Nicola Marchetti, Johann M. Márquez-Barja, Maice Costa, Francisco Paisana, Jacek Kibiłda, Marcelo A. Marotta, Cristiano Bonato Both, Maria Helen Murphy and Lisandro Zambenedetti Granville and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Transactions on Wireless Communications.

In The Last Decade

Nicholas J. Kaminski

25 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas J. Kaminski Ireland 10 191 179 29 24 22 27 290
Qixuan Zhu United States 11 291 1.5× 205 1.1× 12 0.4× 42 1.8× 6 0.3× 59 388
Tolga Gırıcı Türkiye 10 207 1.1× 254 1.4× 7 0.2× 59 2.5× 4 0.2× 56 328
Hussein Al-Zubaidy Sweden 11 387 2.0× 384 2.1× 6 0.2× 27 1.1× 80 3.6× 35 520
Yuchao Chen China 6 196 1.0× 133 0.7× 4 0.1× 43 1.8× 21 1.0× 23 286
Tengjiao He China 10 191 1.0× 181 1.0× 8 0.3× 19 0.8× 4 0.2× 28 293
Jarmo Prokkola Finland 9 261 1.4× 217 1.2× 29 1.0× 36 1.5× 2 0.1× 26 341
Peerapol Tinnakornsrisuphap United States 9 343 1.8× 236 1.3× 10 0.3× 14 0.6× 2 0.1× 24 409
Štěpán Kučera Ireland 11 234 1.2× 316 1.8× 10 0.3× 23 1.0× 2 0.1× 53 434
Liu Yan China 8 127 0.7× 204 1.1× 6 0.2× 21 0.9× 5 0.2× 23 314
Almudena Díaz Zayas Spain 11 268 1.4× 291 1.6× 36 1.2× 18 0.8× 3 0.1× 48 406

Countries citing papers authored by Nicholas J. Kaminski

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Kaminski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Kaminski

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Kaminski. A scholar is included among the top collaborators of Nicholas J. Kaminski 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 Nicholas J. Kaminski. Nicholas J. Kaminski 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.
Kaminski, Nicholas J., et al.. (2024). Toward Practical Federal Spectrum Sharing for Advanced Wireless Technologies. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 157–162.
2.
Butt, M. Majid, et al.. (2020). Agent-Based Modeling for Distributed Decision Support in an IoT Network. IEEE Internet of Things Journal. 7(8). 6919–6931. 9 indexed citations
3.
Francesco, Paolo Di, Jacek Kibiłda, Francesco Malandrino, Nicholas J. Kaminski, & Luiz A. DaSilva. (2017). Sensitivity Analysis on Service-Driven Network Planning. IEEE/ACM Transactions on Networking. 25(3). 1417–1430. 3 indexed citations
4.
Kibiłda, Jacek, Nicholas J. Kaminski, & Luiz A. DaSilva. (2017). Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective. IEEE Transactions on Wireless Communications. 16(4). 2562–2575. 19 indexed citations
5.
Kaminski, Nicholas J., et al.. (2017). Relation between functional complexity, scalability and energy efficiency in WSNs. 46. 675–680. 5 indexed citations
6.
Kaminski, Nicholas J., Irene Macaluso, Avishek Nag, et al.. (2017). A neural-network-based realization of in-network computation for the Internet of Things. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1–6. 11 indexed citations
7.
Costa, Maice, et al.. (2017). Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources. 1–6. 9 indexed citations
8.
Kaminski, Nicholas J., et al.. (2017). 5G: Adaptable Networks Enabled by Versatile Radio Access Technologies. IEEE Communications Surveys & Tutorials. 19(2). 688–720. 75 indexed citations
9.
Caporossi, Gilles, Marcelo A. Marotta, Moisés R. N. Ribeiro, et al.. (2016). Optimizing C-RAN backhaul topologies: A resilience-oriented approach using graph invariants. Les Cahiers du GERAD. 1–16. 1 indexed citations
10.
Kaminski, Nicholas J., Maria Helen Murphy, & Nicola Marchetti. (2016). Agent-based modeling of an IoT network. 1–7. 14 indexed citations
11.
Bostian, Charles W., et al.. (2016). Cognitive radio engineering. Institution of Engineering and Technology eBooks.
12.
Giannoulis, Spilios, Eli De Poorter, Ingrid Moerman, et al.. (2016). A unified radio control architecture for prototyping adaptive wireless protocols. Nova Science Publishers (Nova Science Publishers, Inc.). 58–63. 10 indexed citations
13.
Kaminski, Nicholas J., Ingrid Moerman, Spilios Giannoulis, et al.. (2016). Unified radio and network control across heterogeneous hardware platforms. Ghent University Academic Bibliography (Ghent University). 1–10. 1 indexed citations
14.
Fortuna, Carolina, Ingrid Moerman, Nicholas J. Kaminski, et al.. (2015). Wireless software and hardware platforms for flexible and unified radio and network control. Ghent University Academic Bibliography (Ghent University). 712–717. 5 indexed citations
15.
Paisana, Francisco, et al.. (2015). Context-aware radar modeling framework. 113–122. 2 indexed citations
16.
Puschmann, André, et al.. (2015). Coexistence through adaptive sensing and Markov chains. 7–8. 5 indexed citations
17.
Marotta, Marcelo A., et al.. (2015). Resource sharing in heterogeneous cloud radio access networks. IEEE Wireless Communications. 22(3). 74–82. 38 indexed citations
18.
Paisana, Francisco, et al.. (2015). Implementation of temporal spectrum sharing for radar bands. 271–272. 2 indexed citations
19.
Márquez-Barja, Johann M., Nicholas J. Kaminski, Francisco Paisana, Christos Tranoris, & Luiz A. DaSilva. (2015). Virtualizing testbed resources to enable remote experimentation in online telecommunications education. 836–843. 13 indexed citations
20.
Kaminski, Nicholas J., et al.. (2012). CSERE (Cognitive System Enabling Radio Evolution): A modular and user-friendly cognitive engine. 59–67. 4 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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