Victor Maus

2.0k total citations
34 papers, 1.2k citations indexed

About

Victor Maus is a scholar working on Ecology, Building and Construction and Signal Processing. According to data from OpenAlex, Victor Maus has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 9 papers in Building and Construction and 7 papers in Signal Processing. Recurrent topics in Victor Maus's work include Mining and Resource Management (9 papers), Remote Sensing in Agriculture (7 papers) and Time Series Analysis and Forecasting (5 papers). Victor Maus is often cited by papers focused on Mining and Resource Management (9 papers), Remote Sensing in Agriculture (7 papers) and Time Series Analysis and Forecasting (5 papers). Victor Maus collaborates with scholars based in Austria, Brazil and Australia. Victor Maus's co-authors include Stefan Giljum, Sebastian Luckeneder, Gilberto Câmara, Mirko Lieber, Michael Tost, Alber Sánchez, Gilberto Ribeiro de Queiroz, Fernando M. Ramos, Ricardo Cartaxo and Ian McCallum and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Victor Maus

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Maus Austria 15 415 305 215 196 122 34 1.2k
Yongjun Yang China 24 484 1.2× 602 2.0× 196 0.9× 172 0.9× 96 0.8× 99 1.9k
Stephen Hallett United Kingdom 22 110 0.3× 296 1.0× 222 1.0× 89 0.5× 75 0.6× 73 1.5k
Huping Hou China 18 215 0.5× 325 1.1× 134 0.6× 93 0.5× 36 0.3× 53 860
Júlia Seixas Portugal 31 234 0.6× 645 2.1× 421 2.0× 307 1.6× 61 0.5× 77 2.3k
Yanfang Liu China 19 219 0.5× 444 1.5× 784 3.6× 130 0.7× 60 0.5× 48 1.5k
Kamrul Islam Japan 19 312 0.8× 708 2.3× 165 0.8× 119 0.6× 62 0.5× 40 1.2k
Xuan Zhu Australia 27 559 1.3× 923 3.0× 555 2.6× 188 1.0× 53 0.4× 76 2.1k
Tao Huang China 28 568 1.4× 234 0.8× 216 1.0× 93 0.5× 72 0.6× 135 2.7k
Huifang Zhang China 26 670 1.6× 1.0k 3.4× 405 1.9× 125 0.6× 144 1.2× 99 2.2k
Sami Khanal United States 15 557 1.3× 229 0.8× 394 1.8× 144 0.7× 44 0.4× 39 1.6k

Countries citing papers authored by Victor Maus

Since Specialization
Citations

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

Fields of papers citing papers by Victor Maus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Maus

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

All Works

20 of 20 papers shown
1.
Maus, Victor. (2026). A data-driven approach to mapping global commodity-specific mining land-use. Journal of Cleaner Production. 540. 147437–147437.
2.
Maus, Victor, et al.. (2026). Freshwater Conservation Priority Areas Are Threatened by Global Mining Activities. Global Change Biology. 32(3). e70774–e70774.
3.
Luckeneder, Sebastian, Victor Maus, Juliana Siqueira‐Gay, Tamás Krisztin, & Michael Kühn. (2025). Forest loss and uncertain economic gains from industrial and garimpo mining in Brazilian municipalities. Nature Communications. 16(1). 6543–6543.
4.
Giljum, Stefan, Victor Maus, Laura J. Sonter, et al.. (2025). Metal mining is a global driver of environmental change. Nature Reviews Earth & Environment. 6(7). 441–455. 6 indexed citations
5.
Sun, Xin, et al.. (2025). Robust Assessments of Lithium Mining Impacts Embodied in Global Supply Chain Require Spatially Explicit Analyses. Environmental Science & Technology. 59(14). 7081–7094. 9 indexed citations
6.
Sonter, Laura J., Leon Bennun, Victor Maus, et al.. (2025). Global land cover maps do not reveal mining pressures to biodiversity. Scientific Reports. 15(1). 22421–22421. 1 indexed citations
7.
Maus, Victor & Tim T. Werner. (2024). Impacts for half of the world’s mining areas are undocumented. Nature. 625(7993). 26–29. 49 indexed citations
8.
Sonter, Laura J., Martine Maron, Joseph W. Bull, et al.. (2023). How to fuel an energy transition with ecologically responsible mining. Proceedings of the National Academy of Sciences. 120(35). e2307006120–e2307006120. 13 indexed citations
9.
Lieber, Mirko, et al.. (2023). An open database on global coal and metal mine production. Scientific Data. 10(1). 52–52. 41 indexed citations
10.
11.
Werner, Tim T., Tessa Toumbourou, Victor Maus, et al.. (2023). Patterns of infringement, risk, and impact driven by coal mining permits in Indonesia. AMBIO. 53(2). 242–256. 7 indexed citations
12.
Maus, Victor, Stefan Giljum, Dieison Morozoli da Silva, et al.. (2022). An update on global mining land use. Scientific Data. 9(1). 101 indexed citations
13.
Maus, Victor, Stefan Giljum, Dieison Morozoli da Silva, et al.. (2020). A global-scale data set of mining areas. Scientific Data. 7(1). 289–289. 171 indexed citations
14.
Tsendbazar, Nandin‐Erdene, Linlin Li, Martin Herold, et al.. (2020). Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Validation Report. Socio-Environmental Systems Modeling. 25 indexed citations
15.
Brückner, Martin, Richard Wood, Daniel Moran, et al.. (2019). FABIO—The Construction of the Food and Agriculture Biomass Input–Output Model. Environmental Science & Technology. 53(19). 11302–11312. 85 indexed citations
16.
Arévalo, Paulo, Robert K. Kaufmann, Victor Maus, et al.. (2019). Sensitivity of Global Pasturelands to Climate Variation. Earth s Future. 7(12). 1353–1366. 33 indexed citations
17.
Assis, Luiz Fernando Ferreira Gomes de, Gilberto Ribeiro de Queiroz, Karine Reis Ferreira, et al.. (2017). BIG DATA STREAMING FOR REMOTE SENSING TIME SERIES ANALYTICS USING MAPREDUCE. Revista Brasileira de Cartografia. 69(5). 12 indexed citations
18.
Maus, Victor, et al.. (2017). Production of docosahexaenoic acid by Aurantiochytrium sp. ATCC PRA-276. Brazilian Journal of Microbiology. 48(2). 359–365. 21 indexed citations
19.
Vinhas, Lúbia, et al.. (2017). STILF - A spatiotemporal interval logic formalism for reasoning about events in remote sensing data. IIASA PURE (International Institute of Applied Systems Analysis). 59599. 1 indexed citations
20.
Maus, Victor, et al.. (2014). PRODUCTION OF DOCOSAHEXAENOIC ACID (DHA) FROM Thraustochytrium sp. ATCC 26185 USING DIFFERENTS NITROGEN CONCENTRATIONS. Boletim do Centro de Pesquisa de Processamento de Alimentos. 32(1). 4 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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