Adugna Mullissa

1.3k total citations · 1 hit paper
19 papers, 883 citations indexed

About

Adugna Mullissa is a scholar working on Environmental Engineering, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, Adugna Mullissa has authored 19 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 10 papers in Aerospace Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Adugna Mullissa's work include Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Remote Sensing in Agriculture (7 papers) and Advanced SAR Imaging Techniques (6 papers). Adugna Mullissa is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Remote Sensing in Agriculture (7 papers) and Advanced SAR Imaging Techniques (6 papers). Adugna Mullissa collaborates with scholars based in Netherlands, United States and Germany. Adugna Mullissa's co-authors include Johannes Reiche, Andreas Vollrath, Bart Slagter, Martin Herold, Yaqing Gou, Noel Gorelick, Claudio Persello, Alfred Stein, Johannes Balling and Diego Marcos and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Agricultural and Forest Meteorology.

In The Last Decade

Adugna Mullissa

18 papers receiving 853 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

2021 232 citations Adugna Mullissa, Andreas Vollrath et al. Remote Sensing profile →

Peers

Countries citing papers authored by Adugna Mullissa

Since Specialization

Citations

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

Fields of papers citing papers by Adugna Mullissa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adugna Mullissa

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	The Amazon’s 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction 2024 ·Remote Sensing ·Fabien Wagner, (unknown), Ricardo Dalagnol, (unknown), Adugna Mullissa, Sassan Saatchi	5
2	Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d’Ivoire and Ghana Using Sentinel-2 and Random Forest Model 2024 ·Remote Sensing ·(unknown), Adugna Mullissa, Eric Rahn, Marieke Sassen, Johannes Reiche	8
3	Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction 2024 ·Agricultural and Forest Meteorology ·(unknown), Dilli Paudel, Allard de Wit, Laila A. Puntel, Adugna Mullissa, Lammert Kooistra	8
4	LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert 2024 ·Remote Sensing ·Adugna Mullissa, Sassan Saatchi, Ricardo Dalagnol, Tyler Erickson, (unknown), (unknown), (unknown), (unknown), (unknown)	4
5	Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data 2023 ·Remote Sensing of Environment ·Bart Slagter, Johannes Reiche, Diego Marcos, Adugna Mullissa, (unknown), Marielos Peña‐Claros, Martin Herold	38
6	Seasonal Forest Disturbance Detection Using Sentinel-1 SAR & Sentinel-2 Optical Timeseries Data and Transformers 2023 ·Socio-Environmental Systems Modeling ·Adugna Mullissa, Johannes Reiche, Sassan Saatchi	1
7	Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping 2023 ·Remote Sensing of Environment ·Adugna Mullissa, Johannes Reiche, Martin Herold	11
8	Intra-annual relationship between precipitation and forest disturbance in the African rainforest 2022 ·Environmental Research Letters ·Yaqing Gou, Johannes Balling, Veronique De Sy, Martin Herold, Wanda De Keersmaecker, Bart Slagter, Adugna Mullissa, (unknown), Johannes Reiche	10
9	Despeckling Polarimetric SAR Data Using a Multi-Stream Complex-Valued Fully Convolutional Network 2021 ·arXiv (Cornell University) ·Adugna Mullissa, Claudio Persello, Johannes Reiche	25
10	Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series 2021 ·Remote Sensing of Environment ·(unknown), Veronique De Sy, Martin Herold, Diego Marcos, Jan Verbesselt, Fabian Gieseke, Adugna Mullissa, Christopher Martius	81
11	Forest disturbance alerts for the Congo Basin using Sentinel-1 2021 ·Environmental Research Letters ·Johannes Reiche, Adugna Mullissa, Bart Slagter, Yaqing Gou, Nandin‐Erdene Tsendbazar, (unknown), Andreas Vollrath, Mikaela Weisse, Fred Stolle, Amy Pickens, ‪Gennadii Donchyts, Nicholas Clinton, Noel Gorelick, Martin Herold	127
12	Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine breakdown → 2021 ·Remote Sensing ·Adugna Mullissa, Andreas Vollrath, (unknown), Bart Slagter, Johannes Balling, Yaqing Gou, Noel Gorelick, Johannes Reiche	232
13	Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine 2020 ·Remote Sensing ·Andreas Vollrath, Adugna Mullissa, Johannes Reiche	124
14	deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling 2020 ·IEEE Transactions on Geoscience and Remote Sensing ·Adugna Mullissa, Diego Marcos, Devis Tuia, Martin Herold, Johannes Reiche	70
15	PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification 2019 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Adugna Mullissa, Claudio Persello, Alfred Stein	52
16	Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications 2018 ·IEEE Transactions on Geoscience and Remote Sensing ·Adugna Mullissa, Daniele Perissin, Valentyn Tolpekin, Alfred Stein	28
17	Fully Convolutional Networks for Multi-Temporal SAR Image Classification 2018 ·Socio-Environmental Systems Modeling ·Adugna Mullissa, Claudio Persello, Valentyn Tolpekin	25
18	Polarimetric differential SAR interferometry in an arid natural environment 2017 ·International Journal of Applied Earth Observation and Geoinformation ·Adugna Mullissa, Valentyn Tolpekin, Alfred Stein, Daniele Perissin	21
19	Scattering property based contextual PolSAR speckle filter 2017 ·International Journal of Applied Earth Observation and Geoinformation ·Adugna Mullissa, Valentyn Tolpekin, Alfred Stein	13

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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