Michael Gebreslasie

1.1k citations
58 papers · 744 indexed · h-index 18
Topics
Remote Sensing in Agriculture (19 papers)Remote Sensing and LiDAR Applications (14 papers)Forest ecology and management (14 papers)

In The Last Decade

Michael Gebreslasie

54 papers receiving 721 citations

Peers

Michael Gebreslasie
Comparison fields: 5 of 115
  • Ecology 224
  • Environmental Engineering 211
  • Global and Planetary Change 165
  • Public Health, Environmental and Occupational Health 156
  • Nature and Landscape Conservation 101
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Yi Hu China
John H. Lowry Fiji
Haakon Bakka Saudi Arabia
Mhosisi Masocha Zimbabwe
Douglas G. Goodin United States
Cécile Vignolles France
Joana Cruz United Kingdom
Jean‐Pierre Lacaux France
Eva M. De Clercq Belgium
Xiaoxu Wu China
Michael Gebreslasie relative to Yi Hu China Yi Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Gebreslasie

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gebreslasie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gebreslasie

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gebreslasie. A scholar is included among the top collaborators of Michael Gebreslasie 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 Michael Gebreslasie. Michael Gebreslasie 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
#WorkIndexed citations
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10 17
11 3
12 22
13 10
14 9
15 11
16 34
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18 36
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About Michael Gebreslasie

Michael Gebreslasie is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology, having authored 58 papers that have together received 744 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (14 papers) and Forest ecology and management (14 papers). The work is most often cited by research in Environmental Engineering (211 citations), Parasitology (74 citations) and Ecology (224 citations). Michael Gebreslasie has collaborated with scholars based in South Africa, United States and Germany. Frequent co-authors include Fethi Ahmed, Samson Mukaratirwa, Thandi Kapwata, J. A. N. van Aardt, Moses John Chimbari, Tawanda Manyangadze, Sifiso Xulu, Caradee Y. Wright, Kabir Peerbhay and Martine Baelmans. Their work appears in journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and International Journal of Environmental Research and Public Health.

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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