Alem Gebremedhin

587 total citations
9 papers, 440 citations indexed

About

Alem Gebremedhin is a scholar working on Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Alem Gebremedhin has authored 9 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Ecology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Alem Gebremedhin's work include Remote Sensing in Agriculture (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Smart Agriculture and AI (2 papers). Alem Gebremedhin is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Smart Agriculture and AI (2 papers). Alem Gebremedhin collaborates with scholars based in Australia, Israel and Germany. Alem Gebremedhin's co-authors include Menachem Moshelion, Nir Sade, О. І. Halperin, Rony Wallach, Pieter Badenhorst, K. F. Smith, Germán Spangenberg, Junping Wang, Khageswor Giri and Dagan Sade and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Alem Gebremedhin

9 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alem Gebremedhin Australia	6	312	177	79	54	50	9	440
Ekko Bruns Germany	4	303 1.0×	163 0.9×	180 2.3×	42 0.8×	63 1.3×	5	531
Huailin Zhou China	7	224 0.7×	114 0.6×	73 0.9×	38 0.7×	29 0.6×	13	333
Miles W. Ingwers United States	6	418 1.3×	320 1.8×	49 0.6×	76 1.4×	130 2.6×	10	624
Isabelle Mialet-Serra France	12	214 0.7×	215 1.2×	203 2.6×	65 1.2×	33 0.7×	16	470
Rafael Sánchez‐Cuesta Spain	13	281 0.9×	73 0.4×	100 1.3×	110 2.0×	29 0.6×	16	440
Serge Braconnier France	13	345 1.1×	161 0.9×	94 1.2×	45 0.8×	30 0.6×	31	546
David Da Silva United States	11	338 1.1×	164 0.9×	84 1.1×	67 1.2×	20 0.4×	20	456
Bradley C. Posch Australia	12	349 1.1×	213 1.2×	65 0.8×	60 1.1×	43 0.9×	17	518
Francisco J. Ruíz-Gómez Spain	15	341 1.1×	113 0.6×	134 1.7×	131 2.4×	54 1.1×	40	563
João Paulo Rodrigues Alves Delfino Barbosa Brazil	10	249 0.8×	112 0.6×	62 0.8×	75 1.4×	57 1.1×	47	417

Countries citing papers authored by Alem Gebremedhin

Since Specialization

Citations

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

Fields of papers citing papers by Alem Gebremedhin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alem Gebremedhin

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

All Works

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9 of 9 papers shown

Gebremedhin, Alem, Yongjun Li, Shimna Sudheesh, et al.. (2024). Genomic selection for target traits in the Australian lentil breeding program. Frontiers in Plant Science. 14. 1284781–1284781. 4 indexed citations

Breen, Edmond J., Alem Gebremedhin, Fan Shi, et al.. (2021). A New Method for Extracting Individual Plant Bio-Characteristics from High-Resolution Digital Images. Remote Sensing. 13(6). 1212–1212. 3 indexed citations

Gebremedhin, Alem, Pieter Badenhorst, Junping Wang, et al.. (2020). Development and Validation of a Phenotyping Computational Workflow to Predict the Biomass Yield of a Large Perennial Ryegrass Breeding Field Trial. Frontiers in Plant Science. 11. 689–689. 14 indexed citations

Gebremedhin, Alem, Pieter Badenhorst, Junping Wang, et al.. (2019). Development and Validation of a Model to Combine NDVI and Plant Height for High-Throughput Phenotyping of Herbage Yield in a Perennial Ryegrass Breeding Program. Remote Sensing. 11(21). 2494–2494. 30 indexed citations

Gebremedhin, Alem, Pieter Badenhorst, Junping Wang, Germán Spangenberg, & K. F. Smith. (2019). Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies. Agronomy. 9(2). 65–65. 33 indexed citations

Halperin, О. І., Alem Gebremedhin, Rony Wallach, & Menachem Moshelion. (2016). High‐throughput physiological phenotyping and screening system for the characterization of plant–environment interactions. The Plant Journal. 89(4). 839–850. 103 indexed citations

Gebremedhin, Alem & Girmay Tesfay. (2015). Evaluating the Effects of Integrated Use of Organic and Inorganic Fertilizers on Socioeconomic Performance of Upland Rice (Oryza Sativa L.) in Tselemti Wereda of North-Western Tigray, Ethiopia. Journal of Biology Agriculture and Healthcare. 5(7). 39–51. 1 indexed citations

Sade, Dagan, Nir Sade, Stephen Lerner, et al.. (2014). Water Balance, Hormone Homeostasis, and Sugar Signaling Are All Involved in Tomato Resistance toTomato Yellow Leaf Curl Virus . PLANT PHYSIOLOGY. 165(4). 1684–1697. 41 indexed citations

Sade, Nir, Alem Gebremedhin, & Menachem Moshelion. (2012). Risk-taking plants. Plant Signaling & Behavior. 7(7). 767–770. 211 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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