Lorenzo Bigiani

45 total papers · 789 total citations
34 papers, 669 citations indexed

About

Lorenzo Bigiani is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Lorenzo Bigiani has authored 34 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Materials Chemistry and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Lorenzo Bigiani's work include Gas Sensing Nanomaterials and Sensors (13 papers), ZnO doping and properties (11 papers) and Analytical Chemistry and Sensors (7 papers). Lorenzo Bigiani is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (13 papers), ZnO doping and properties (11 papers) and Analytical Chemistry and Sensors (7 papers). Lorenzo Bigiani collaborates with scholars based in Italy, Spain and France. Lorenzo Bigiani's co-authors include Chiara Maccato, Davide Barreca, Alberto Gasparotto, C. Sada, Elisabetta Comini, Evgeny Modin, Dario Zappa, Teresa Andreu, J.R. Morante and Johan Verbeeck and has published in prestigious journals such as Langmuir, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

Lorenzo Bigiani

34 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Lorenzo Bigiani 415 308 306 102 97 34 669
Sunil Babu Eadi 424 1.0× 360 1.2× 193 0.6× 123 1.2× 90 0.9× 51 670
Belal Salah 304 0.7× 356 1.2× 256 0.8× 139 1.4× 63 0.6× 27 606
Jyotiprakash B. Yadav 333 0.8× 204 0.7× 205 0.7× 126 1.2× 67 0.7× 46 567
Haiqin Bian 456 1.1× 334 1.1× 264 0.9× 227 2.2× 173 1.8× 32 704
Cun Hu 415 1.0× 249 0.8× 281 0.9× 204 2.0× 80 0.8× 29 705
Andréia de Morais 250 0.6× 324 1.1× 270 0.9× 81 0.8× 34 0.4× 32 602
G. E. Shahnazaryan 312 0.8× 351 1.1× 375 1.2× 147 1.4× 129 1.3× 34 673
P. Baraneedharan 340 0.8× 308 1.0× 174 0.6× 104 1.0× 68 0.7× 31 624
Aiying Chen 502 1.2× 294 1.0× 256 0.8× 269 2.6× 177 1.8× 24 763
Qingjie Lu 470 1.1× 254 0.8× 260 0.8× 218 2.1× 141 1.5× 46 725

Countries citing papers authored by Lorenzo Bigiani

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Bigiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Bigiani

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