Leonardo Barboni

39 total papers · 458 total citations
21 papers, 353 citations indexed

About

Leonardo Barboni is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Leonardo Barboni has authored 21 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Leonardo Barboni's work include Energy Harvesting in Wireless Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Leonardo Barboni is often cited by papers focused on Energy Harvesting in Wireless Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Leonardo Barboni collaborates with scholars based in Italy, Uruguay and United States. Leonardo Barboni's co-authors include Maurizio Valle, Berardi Sensale‐Rodriguez, Ravinder Dahiya, Roberto Oboe, Leandro Lorenzelli, Cristian Collini, Andrea Adami, Giorgio Metta, Fernando Silveira and Debdeep Jena and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Actuators A Physical and IEEE Sensors Journal.

In The Last Decade

Leonardo Barboni

20 papers receiving 341 citations

Author Peers

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

Author						Papers	Cites
Leonardo Barboni	236	163	85	65	33	21	353
Meraj Ahmad	173 0.7×	247 1.5×	78 0.9×	30 0.5×	17 0.5×	38	356
Aparecido Augusto de Carvalho	90 0.4×	221 1.4×	46 0.5×	76 1.2×	24 0.7×	48	342
Il-Min Yi	230 1.0×	224 1.4×	23 0.3×	76 1.2×	29 0.9×	28	366
Injae Yoo	128 0.5×	169 1.0×	98 1.2×	45 0.7×	13 0.4×	14	310
Kye‐Shin Lee	185 0.8×	212 1.3×	37 0.4×	30 0.5×	10 0.3×	48	300
Manik Dautta	182 0.8×	271 1.7×	22 0.3×	33 0.5×	19 0.6×	25	384
Junlong Li	142 0.6×	69 0.4×	26 0.3×	81 1.2×	26 0.8×	25	316
Cheng-Han Li	227 1.0×	82 0.5×	26 0.3×	34 0.5×	40 1.2×	34	387
Henry M. D. Ip	113 0.5×	196 1.2×	65 0.8×	36 0.6×	13 0.4×	16	352
Ali H. Hassan	166 0.7×	180 1.1×	26 0.3×	23 0.4×	47 1.4×	30	338

Countries citing papers authored by Leonardo Barboni

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Barboni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Barboni

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Barboni. A scholar is included among the top collaborators of Leonardo Barboni 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 Leonardo Barboni. Leonardo Barboni 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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