Jari Hulkkonen

627 total citations
13 papers, 158 citations indexed

About

Jari Hulkkonen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Jari Hulkkonen has authored 13 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 2 papers in Aerospace Engineering. Recurrent topics in Jari Hulkkonen's work include Advanced MIMO Systems Optimization (6 papers), Wireless Communication Networks Research (6 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Jari Hulkkonen is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Wireless Communication Networks Research (6 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Jari Hulkkonen collaborates with scholars based in Finland and United States. Jari Hulkkonen's co-authors include Mikko Säily, Juha Karjalainen, Antti Tölli, Kari Hooli, Oskari Tervo, Esa Tiirola, Rafael C. D. Paiva, Robson D. Vieira, Timo Koskela and Nandana Rajatheva and has published in prestigious journals such as IEEE Communications Magazine, IEEE Open Journal of the Communications Society and University of Oulu Repository (University of Oulu).

In The Last Decade

Jari Hulkkonen

12 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jari Hulkkonen Finland	5	140	56	41	14	13	13	158
Harsh Tataria Sweden	6	165 1.2×	42 0.8×	70 1.7×	9 0.6×	10 0.8×	13	195
Himanshu B. Mishra India	9	247 1.8×	76 1.4×	48 1.2×	9 0.6×	7 0.5×	31	253
Yuichi Kakishima Japan	7	189 1.4×	68 1.2×	60 1.5×	13 0.9×	3 0.2×	20	204
Boyu Li China	7	149 1.1×	55 1.0×	48 1.2×	4 0.3×	9 0.7×	21	179
Hu Zhou China	9	238 1.7×	103 1.8×	122 3.0×	5 0.4×	20 1.5×	39	292
Jide Yuan China	10	285 2.0×	91 1.6×	87 2.1×	18 1.3×	6 0.5×	23	328
Sumit Gautam Luxembourg	11	266 1.9×	78 1.4×	53 1.3×	6 0.4×	7 0.5×	43	299
H. H. M. Tam Australia	7	316 2.3×	122 2.2×	56 1.4×	6 0.4×	5 0.4×	15	331
Zhuyan Zhao China	11	350 2.5×	125 2.2×	62 1.5×	33 2.4×	7 0.5×	32	367
Zhinus Marzi United States	5	392 2.8×	65 1.2×	101 2.5×	13 0.9×	7 0.5×	6	413

Countries citing papers authored by Jari Hulkkonen

Since Specialization

Citations

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

Fields of papers citing papers by Jari Hulkkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Hulkkonen

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Hooli, Kari, et al.. (2023). Enhancing Next-Generation Extended Reality Applications With Coded Caching. IEEE Open Journal of the Communications Society. 4. 1371–1382. 18 indexed citations

2.

Rajatheva, Nandana, Sami Hakola, Timo Koskela, et al.. (2023). LiDAR aided Simulation Pipeline for Wireless Communication in Vehicular Traffic Scenarios. University of Oulu Repository (University of Oulu). 1–7. 1 indexed citations

3.

Tervo, Oskari, et al.. (2022). On the Potential of Using Sub-THz Frequencies for Beyond 5G. 37–42. 15 indexed citations

4.

Rajatheva, Nandana, Sami Hakola, Timo Koskela, et al.. (2022). LiDAR aided Wireless Networks - LoS Detection and Prediction based on Static Maps. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 8. 1–6.

5.

Rajatheva, Nandana, Sami Hakola, Timo Koskela, et al.. (2022). LiDAR aided Wireless Networks - Beam Prediction for 5G. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–7. 4 indexed citations

6.

Säily, Mikko, et al.. (2019). Overview of Positioning in 5G New Radio. 320–324. 88 indexed citations

7.

Rikkinen, Kari, et al.. (2017). Configurable 5G air interface for high speed scenario. University of Oulu Repository (University of Oulu). 1–5. 4 indexed citations

8.

Paiva, Rafael C. D., et al.. (2012). GSM voice evolution using orthogonal subchannels. IEEE Communications Magazine. 50(12). 80–86. 4 indexed citations

9.

Vieira, Robson D., et al.. (2010). GSM Evolution Importance in Re-Farming 900 MHz Band. 1–5. 13 indexed citations

10.

Säily, Mikko, et al.. (2008). EGPRS2 Uplink Performance for GERAN Evolution. 2572–2576. 1 indexed citations

11.

Säily, Mikko, et al.. (2006). Dual Symbol Rate for Geran Uplink Evolution. 1–5. 2 indexed citations

12.

Hulkkonen, Jari, et al.. (2006). Variable Bandwidth for GERAN Evolution with Regular Frequency Planning. 4. 1797–1801. 2 indexed citations

13.

Hämäläinen, Jyri, et al.. (2004). On the performance of GSM/EDGE transmit diversity schemes when employing dual-polarized antennas. 4. 2418–2422. 6 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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