Dominic Mazzoni

473 citations
16 papers · 332 indexed · h-index 8
Topics
Remote Sensing in Agriculture (5 papers)Atmospheric chemistry and aerosols (4 papers)Atmospheric aerosols and clouds (3 papers)

In The Last Decade

Dominic Mazzoni

15 papers receiving 304 citations

Peers

Dominic Mazzoni
Comparison fields: 5 of 58
  • Global and Planetary Change 157
  • Atmospheric Science 138
  • Artificial Intelligence 59
  • Computer Vision and Pattern Recognition 58
  • Signal Processing 52
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Countries citing papers authored by Dominic Mazzoni

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Mazzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Mazzoni

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 6
2 52
3 66
4
Recent HARVIST Results: Classifying Crops from Remote Sensing Data
2
5 18
6 49
7 36
8 35
9
GENESIS SciFlo: Scientific Knowledge Creation on the Grid Using a Semantically-Enabled Dataflow Execution Environment
7
10
LibFeature: a software library for quickly generating feature vectors on the fly from structured data
3
11
Using MISR and MODIS data for detection and analysis of smoke plume injection heights over North American during Summer 2004
4
12
A MISR cloud-type classifier using reduced Support Vector Machines
5
13 1
14
HARVIST: a system for agricultural and weather studies using advanced statistical methods
2
15
Active learning in the presence of unlabelable examples
1
16
Melody Matching Directly From Audio
45

About Dominic Mazzoni

Dominic Mazzoni is a scholar working on Media Technology, Atmospheric Science and Ecology, having authored 16 papers that have together received 332 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (5 papers), Atmospheric chemistry and aerosols (4 papers) and Atmospheric aerosols and clouds (3 papers). The work is most often cited by research in Atmospheric Science (138 citations), Global and Planetary Change (157 citations) and Media Technology (43 citations). Dominic Mazzoni has collaborated with scholars based in United States, Bulgaria and France. Frequent co-authors include Roger B. Dannenberg, David L. Nelson, David J. Diner, Benyang Tang, Ralph A. Kahn, Roger Davies, M. J. Garay, Jennifer A. Logan, Yuekui Yang and Larry Di Girolamo. Their work appears in journals such as Remote Sensing of Environment, Data Mining and Knowledge Discovery and Journal de Radiologie.

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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