Mario Prato

528 total citations
10 papers, 78 citations indexed

About

Mario Prato is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering. According to data from OpenAlex, Mario Prato has authored 10 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mario Prato's work include Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (5 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). Mario Prato is often cited by papers focused on Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (5 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). Mario Prato collaborates with scholars based in Italy. Mario Prato's co-authors include Domenico Suriano, Valerio Pfister, M. Penza, G. Cassano, Sebastiano Dipinto, Fernando Ortenzi and Maria Gabriella Villani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Chemosensors.

In The Last Decade

Mario Prato

10 papers receiving 77 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mario Prato Italy	4	70	40	21	13	13	10	78
T. Cao China	3	42 0.6×	31 0.8×	10 0.5×	9 0.7×	8 0.6×	4	80
Jaume Matamala Spain	2	96 1.4×	153 3.8×	45 2.1×	22 1.7×	6 0.5×	2	193
David García-Nieto Spain	4	49 0.7×	50 1.3×	10 0.5×	32 2.5×	14 1.1×	5	108
Shannon Cowlin United States	4	57 0.8×	180 4.5×	25 1.2×	7 0.5×	25 1.9×	7	222
Shivang Agarwal United States	7	99 1.4×	132 3.3×	22 1.0×	45 3.5×	19 1.5×	15	219
Ming-Yi Tsai United States	3	37 0.5×	76 1.9×	14 0.7×	14 1.1×	4 0.3×	3	102
Mihnea Surdu Switzerland	6	21 0.3×	39 1.0×	7 0.3×	10 0.8×	10 0.8×	10	81
Daniel J. Bryant United Kingdom	6	32 0.5×	83 2.1×	15 0.7×	15 1.2×	13 1.0×	10	135
Wenxuan Dong China	5	19 0.3×	29 0.7×	10 0.5×	35 2.7×	4 0.3×	18	99
Darrell Sonntag United States	9	53 0.8×	134 3.4×	149 7.1×	20 1.5×	9 0.7×	22	219

Countries citing papers authored by Mario Prato

Since Specialization

Citations

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

Fields of papers citing papers by Mario Prato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Prato

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

All Works

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10 of 10 papers shown

1.

Penza, M., Valerio Pfister, Domenico Suriano, et al.. (2023). Application of Low-Cost Sensors in Stationary and Mobile Nodes for Urban Air Quality Index Monitoring. SHILAP Revista de lepidopterología. 62–62. 5 indexed citations

2.

Suriano, Domenico, Mario Prato, & M. Penza. (2023). Air Quality Monitoring in a Near-City Industrial Zone by Low-Cost Sensor Technologies: A Case Study. SHILAP Revista de lepidopterología. 26–26. 1 indexed citations

3.

Suriano, Domenico & Mario Prato. (2023). An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring. Sensors. 23(8). 3976–3976. 18 indexed citations

4.

Pfister, Valerio, Mario Prato, & M. Penza. (2023). Field Performance Evaluation of Air Quality Low-Cost Sensors Deployed in a Near-City Space-Airport. SHILAP Revista de lepidopterología. 27–27. 1 indexed citations

5.

Penza, M., Domenico Suriano, Valerio Pfister, Mario Prato, & G. Cassano. (2018). Wireless Sensors Network Monitoring of Saharan Dust Events in Bari, Italy. SHILAP Revista de lepidopterología. 898–898. 3 indexed citations

6.

Penza, M., Domenico Suriano, Valerio Pfister, Mario Prato, & G. Cassano. (2017). Urban Air Quality Monitoring with Networked Low-Cost Sensor-Systems. SHILAP Revista de lepidopterología. 573–573. 32 indexed citations

7.

Suriano, Domenico, Mario Prato, Valerio Pfister, et al.. (2016). 20 - The Case-Study of the RES-NOVAE National Project: Low-Cost Sensor-Systems for Urban Air Quality Monitoring. 77–80. 1 indexed citations

8.

Ortenzi, Fernando, et al.. (2016). The Smart Ring Experience in l’Aquila (Italy): Integrating Smart Mobility Public Services with Air Quality Indexes. Chemosensors. 4(4). 24–24. 3 indexed citations

9.

Suriano, Domenico, Mario Prato, Valerio Pfister, et al.. (2015). 15 - Stationary and Mobile Low-Cost Gas Sensor-Systems for Air Quality Monitoring Applications. 55–58. 12 indexed citations

10.

Villani, Maria Gabriella, et al.. (2015). The "Smart Ring" Experience in l'Aquila (Italy): Integrating Smart Mobility Public Services with Air Quality Indexes. E015–E015. 2 indexed citations

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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