Chris Matocha

735 citations
7 papers · 502 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Chris Matocha

7 papers receiving 492 citations

Hit Papers

Responses of soil carbon sequestration to climate‐smart agriculture practices: A meta‐analysis 2019 · 303 citations
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Peers

Chris Matocha
Comparison fields: 5 of 69
  • Soil Science 211
  • Pollution 81
  • Environmental Chemistry 57
  • Environmental Engineering 74
  • Agronomy and Crop Science 53
Replace Brahim Soudi with:
Brahim Soudi Morocco
Jacynthe Dessureault‐Rompré Canada
G. Besga Spain
Arthur Groß Germany
Fatima Ashraf Pakistan
Ľubica Pospíšilová Czechia
Qinhua Shen New Zealand
Marc Breulmann Germany
Danielle Vieira Guimarães Brazil
Arjun Pandey Australia
Chris Matocha relative to Brahim Soudi Morocco Brahim Soudi's profile →
Citations per field
00.5×
Brahim Soudi · 1×
Citations per year

Countries citing papers authored by Chris Matocha

Since Specialization
Citations

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

Fields of papers citing papers by Chris Matocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Chris Matocha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Matocha Line = papers co-authored together Chris Matocha links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202114
2
Responses of soil carbon sequestration to climate‐smart agriculture practices: A meta‐analysis
Hit paper breakdown →
2019303
3 201922
4 20141
5 201443
6 20145
7 2013114

About Chris Matocha

Chris Matocha is a scholar working on Geochemistry and Petrology, Pollution, Health, Toxicology and Mutagenesis, Soil Science and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 502 indexed citations. Recurring topics across this work include Heavy metals in environment (3 papers), Geochemistry and Geologic Mapping (2 papers), Nanoparticles: synthesis and applications (2 papers), Geochemistry and Elemental Analysis (2 papers), Climate change impacts on agriculture (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Arsenic contamination and mitigation (1 paper) and Soil Carbon and Nitrogen Dynamics (1 paper). The work is most often cited by research in Soil Science (211 citations), Pollution (81 citations), Environmental Chemistry (57 citations), Environmental Engineering (74 citations) and Agronomy and Crop Science (53 citations). Chris Matocha has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Bo Tao, Yawen Huang, Wei Ren, Jian Yang, Mark S. Coyne, Xiongxiong Bai, Pierre-André Jacinthe, Dafeng Hui, Jason M. Unrine and Clément Levard. Their work appears in journals such as Soil Science Society of America Journal, Remote Sensing, Environmental Science Nano, Environmental Pollution and Global Change Biology.

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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