Antonio Mariani

55 total papers · 558 total citations
25 papers, 378 citations indexed

About

Antonio Mariani is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Antonio Mariani has authored 25 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Fluid Flow and Transfer Processes, 14 papers in Automotive Engineering and 6 papers in Computational Mechanics. Recurrent topics in Antonio Mariani's work include Advanced Combustion Engine Technologies (16 papers), Vehicle emissions and performance (14 papers) and Refrigeration and Air Conditioning Technologies (4 papers). Antonio Mariani is often cited by papers focused on Advanced Combustion Engine Technologies (16 papers), Vehicle emissions and performance (14 papers) and Refrigeration and Air Conditioning Technologies (4 papers). Antonio Mariani collaborates with scholars based in Italy, France and Brazil. Antonio Mariani's co-authors include Andrea Unich, Biagio Morrone, Fabrice Foucher, Maria Vittoria Prati, Mario Minale, Maria Antonietta Costagliola, Neal Hickey, Jan Kašpar, Bruno Moreau and Furio Cascetta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Journal of Catalysis.

In The Last Decade

Antonio Mariani

25 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
Antonio Mariani	252	161	96	91	87	25	378
Zhenyi Yang	256 1.0×	105 0.7×	134 1.4×	80 0.9×	113 1.3×	31	383
Cristiane Aparecida Martins	263 1.0×	83 0.5×	204 2.1×	79 0.9×	120 1.4×	37	442
Junfa Duan	328 1.3×	161 1.0×	159 1.7×	100 1.1×	100 1.1×	26	442
Romualdas Juknelevičius	277 1.1×	125 0.8×	96 1.0×	124 1.4×	44 0.5×	19	364
Kazuya Tsuboi	272 1.1×	87 0.5×	204 2.1×	49 0.5×	70 0.8×	16	353
Selim Tangöz	288 1.1×	119 0.7×	175 1.8×	87 1.0×	94 1.1×	12	395
Majed Shreka	165 0.7×	94 0.6×	67 0.7×	157 1.7×	46 0.5×	29	436
Changup Kim	339 1.3×	195 1.2×	159 1.7×	104 1.1×	48 0.6×	26	390
Helmut Tschöke	208 0.8×	155 1.0×	70 0.7×	76 0.8×	41 0.5×	23	427
Zeeshan Ahmad	308 1.2×	108 0.7×	193 2.0×	77 0.8×	74 0.9×	17	365

Countries citing papers authored by Antonio Mariani

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Mariani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Mariani

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