Romano Lottering

1.1k total citations
53 papers, 719 citations indexed

About

Romano Lottering is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Romano Lottering has authored 53 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, 22 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Romano Lottering's work include Remote Sensing in Agriculture (32 papers), Remote Sensing and LiDAR Applications (16 papers) and Species Distribution and Climate Change (10 papers). Romano Lottering is often cited by papers focused on Remote Sensing in Agriculture (32 papers), Remote Sensing and LiDAR Applications (16 papers) and Species Distribution and Climate Change (10 papers). Romano Lottering collaborates with scholars based in South Africa, Ethiopia and Botswana. Romano Lottering's co-authors include Onisimo Mutanga, Paramu Mafongoya, Kabir Peerbhay, Shenelle Lottering, Riyad Ismail, Timothy Dube, John Odindi, Raymond Mugandani, Denver Naidoo and Mbulisi Sibanda and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Sustainability.

In The Last Decade

Romano Lottering

50 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romano Lottering South Africa 16 372 220 180 98 87 53 719
Júlio César Brazil 12 442 1.2× 462 2.1× 162 0.9× 167 1.7× 49 0.6× 58 935
Faith Kearns United States 9 239 0.6× 329 1.5× 115 0.6× 105 1.1× 74 0.9× 17 680
G.W. Hazeu Netherlands 12 330 0.9× 564 2.6× 136 0.8× 81 0.8× 43 0.5× 51 874
Philippe Rufin Germany 13 463 1.2× 393 1.8× 152 0.8× 90 0.9× 31 0.4× 32 731
A. C. Coutinho Brazil 13 557 1.5× 545 2.5× 202 1.1× 157 1.6× 56 0.6× 33 1.0k
Leandro Parente Brazil 13 326 0.9× 309 1.4× 154 0.9× 49 0.5× 34 0.4× 36 656
Katja Brinkmann Germany 15 288 0.8× 269 1.2× 105 0.6× 203 2.1× 112 1.3× 33 788
Gary R. Watmough United Kingdom 14 559 1.5× 461 2.1× 297 1.6× 160 1.6× 41 0.5× 21 1.0k
Sonam Wangyel Wang South Korea 11 405 1.1× 482 2.2× 87 0.5× 45 0.5× 81 0.9× 22 796
Louise Leroux France 16 363 1.0× 312 1.4× 90 0.5× 189 1.9× 153 1.8× 43 748

Countries citing papers authored by Romano Lottering

Since Specialization
Citations

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

Fields of papers citing papers by Romano Lottering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romano Lottering

This figure shows the co-authorship network connecting the top 25 collaborators of Romano Lottering. A scholar is included among the top collaborators of Romano Lottering 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 Romano Lottering. Romano Lottering 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.
Lottering, Romano, et al.. (2025). Exploring forest rehabilitation and restoration: A brief systematic review. Trees Forests and People. 20. 100898–100898. 1 indexed citations
2.
Gidey, Eskinder, Emiru Birhane, Paidamwoyo Mhangara, et al.. (2025). Expanding Forest Cover Increases the Ecosystem Service Values of Dry Afromontane Forests in Tigray, Ethiopia. Land Degradation and Development. 36(10). 3294–3312. 2 indexed citations
3.
Lottering, Romano, et al.. (2024). Optimising forest rehabilitation and restoration through remote sensing and machine learning: Mapping natural forests in the eThekwini Municipality. Remote Sensing Applications Society and Environment. 36. 101335–101335. 1 indexed citations
4.
Odebiri, Omosalewa, Onisimo Mutanga, John Odindi, et al.. (2024). Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation. Geoderma Regional. 37. e00817–e00817. 8 indexed citations
5.
Odebiri, Omosalewa, Onisimo Mutanga, John Odindi, et al.. (2024). Remote sensing of depth-induced variations in soil organic carbon stocks distribution within different vegetated landscapes. CATENA. 243. 108216–108216. 5 indexed citations
6.
7.
Gidey, Eskinder, Paidamwoyo Mhangara, Oagile Dikinya, et al.. (2024). Ecotourism suitability mapping and analysis in Tigray–Northern Ethiopian highlands. Journal of Ecotourism. 1–19. 2 indexed citations
8.
Mutanga, Onisimo, et al.. (2024). Assessing above-ground biomass in reforested urban landscapes using machine learning and remotely sensed data. Journal of Spatial Science. 69(3). 1047–1073.
9.
Gidey, Eskinder, Paidamwoyo Mhangara, Oagile Dikinya, et al.. (2023). Impact of urban and peri-urban growth on arable land (1976–2029) in a medium sized city of Shire Indaselassie, North Western Tigray, Ethiopia. SN Applied Sciences. 5(4). 10 indexed citations
10.
Lottering, Romano, et al.. (2023). Simulating future land-use within the uThukela and uMngeni catchments in KwaZulu-Natal. Scientific African. 20. e01666–e01666. 6 indexed citations
11.
12.
Peerbhay, Kabir, et al.. (2022). Mapping carbon content in a mountainous grassland using SPOT 5 multispectral imagery and semi-automated machine learning ensemble methods. Scientific African. 17. e01344–e01344. 1 indexed citations
13.
Lottering, Romano & Kabir Peerbhay. (2022). Mapping wattle rust induced defoliation within South Africa’s wattle commercial forest plantations over two seasons. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). 1–5. 1 indexed citations
14.
Mutanga, Onisimo, et al.. (2021). Detecting and mapping invasive Parthenium hysterophorus L. along the northern coastal belt of KwaZulu-Natal, South Africa using image texture. Scientific African. 13. e00966–e00966. 5 indexed citations
15.
Lottering, Shenelle, Paramu Mafongoya, & Romano Lottering. (2020). Detecting and mapping drought severity using multi-temporal Landsat data in the uMsinga region of KwaZulu-Natal, South Africa. Geocarto International. 37(6). 1574–1586. 12 indexed citations
16.
Lottering, Romano, et al.. (2019). A comparative study of community perceptions regarding the role of roads as a poverty alleviation strategy in rural areas. Journal of Rural Studies. 71. 73–84. 57 indexed citations
17.
18.
Mutanga, Onisimo, et al.. (2018). Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery. International Journal of Applied Earth Observation and Geoinformation. 74. 65–77. 59 indexed citations
19.
Lottering, Romano, et al.. (2017). The Relief Food Aid and its Implications on Food Production and Consumption Patterns: A case study of Communal Farmers in Chigodora Community, Zimbabwe. RePEc: Research Papers in Economics. 2(3). 24–38. 3 indexed citations
20.
Peerbhay, Kabir, Onisimo Mutanga, Romano Lottering, & Riyad Ismail. (2016). Unsupervised anomaly weed detection in riparian forest areas using hyperspectral data and LiDAR. 1–5. 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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