M. Frullone

55 total papers · 448 total citations
41 papers, 274 citations indexed

About

M. Frullone is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, M. Frullone has authored 41 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 28 papers in Computer Networks and Communications and 8 papers in Aerospace Engineering. Recurrent topics in M. Frullone's work include Wireless Communication Networks Research (26 papers), Advanced MIMO Systems Optimization (20 papers) and Millimeter-Wave Propagation and Modeling (14 papers). M. Frullone is often cited by papers focused on Wireless Communication Networks Research (26 papers), Advanced MIMO Systems Optimization (20 papers) and Millimeter-Wave Propagation and Modeling (14 papers). M. Frullone collaborates with scholars based in Italy and Finland. M. Frullone's co-authors include G. Riva, G. Falciasecca, Vittorio Degli‐Esposti, Giovanni Emanuele Corazza, A. Cruz Serra, Marina Barbiroli, O. Andrisano, Velio Tralli, Marco Chiani and K. Heiska and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

M. Frullone

38 papers receiving 246 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Frullone	246	174	56	12	9	41	274
G. Riva	239 1.0×	167 1.0×	51 0.9×	13 1.1×	32 3.6×	42	279
Abbas Mohammed	202 0.8×	123 0.7×	163 2.9×	11 0.9×	8 0.9×	27	277
Mythri Hunukumbure	291 1.2×	153 0.9×	51 0.9×	7 0.6×	31 3.4×	39	311
Y.L.C. de Jong	255 1.0×	124 0.7×	68 1.2×	33 2.8×	12 1.3×	33	283
Mário Marques da Silva	270 1.1×	125 0.7×	58 1.0×	13 1.1×	13 1.4×	56	310
Gwenael Poitau	226 0.9×	98 0.6×	37 0.7×	13 1.1×	13 1.4×	32	276
Guillaume Villemaud	260 1.1×	119 0.7×	49 0.9×	11 0.9×	10 1.1×	51	295
Samer Bazzi	277 1.1×	151 0.9×	36 0.6×	7 0.6×	12 1.3×	23	299
Ha Nguyen Tran	252 1.0×	258 1.5×	28 0.5×	14 1.2×	14 1.6×	43	317
Farabi Iqbal	179 0.7×	109 0.6×	20 0.4×	8 0.7×	10 1.1×	36	239

Countries citing papers authored by M. Frullone

Since Specialization

Citations

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

Fields of papers citing papers by M. Frullone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Frullone

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

All Works

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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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