Daniela Laselva

994 citations
42 papers · 714 indexed · h-index 15

Daniela Laselva

40 papers receiving 680 citations

Peers

Daniela Laselva
Comparison fields: 5 of 35
  • Computer Networks and Communications 525
  • Electrical and Electronic Engineering 660
  • Media Technology 36
  • Aerospace Engineering 43
  • Computational Mathematics 1
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Zhong Zhangdui China
Dong Geun Jeong South Korea
Evelio Fernández Brazil
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Citations per year

Countries citing papers authored by Daniela Laselva

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Laselva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniela Laselva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Laselva Line = papers co-authored together Daniela Laselva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 20218
4 20212
5 20216
6 20207
7
On the resource utilization of multi-connectivity transmission for URLLC services in 5G new radio
201931
8
201910
9 201924
10 201912
11 201834
12 20163
13 201610
14 20135
15 201327
16 201110
17 201011
18 20101
19
IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall), 2009
200934
20 200983

About Daniela Laselva

Daniela Laselva is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology, Urban Studies and Control and Systems Engineering, having authored 42 papers that have together received 714 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (30 papers), Advanced Wireless Network Optimization (19 papers), Wireless Communication Networks Research (13 papers), Cooperative Communication and Network Coding (10 papers), Wireless Networks and Protocols (10 papers), Advanced Wireless Communication Technologies (7 papers), IPv6, Mobility, Handover, Networks, Security (4 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computer Networks and Communications (525 citations), Electrical and Electronic Engineering (660 citations), Media Technology (36 citations), Aerospace Engineering (43 citations) and Computational Mathematics (1 citation). Daniela Laselva has collaborated with scholars based in Denmark, Finland and Spain. Frequent co-authors include Preben Mogensen, István Z. Kovács, Klaus I. Pedersen, Jeroen Wigard, Frank Frederiksen, Pekka Kyösti, Troels Kolding, Marko Milojević, Jari Salo and Giovanni Del Galdo. Their work appears in journals such as IEEE Communications Magazine, IEEE Access, EURASIP Journal on Wireless Communications and Networking, Computer Networks and 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall).

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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