Countries where authors publish in AgriEngineering
Since Specialization
Citations
This map shows the geographic impact of research published in AgriEngineering. 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 papers published in AgriEngineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AgriEngineering more than expected).
This network shows the impact of papers published in AgriEngineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in AgriEngineering.
About AgriEngineering
The 1.1k papers published in AgriEngineering in the last decades have received a total of 7.1k indexed citations . Papers published in AgriEngineering usually cover Plant Science (515 papers), Analytical Chemistry (106 papers), Soil Science (76 papers), Environmental Engineering (107 papers) and Ecology (183 papers) specifically the topics of Smart Agriculture and AI (268 papers), Remote Sensing in Agriculture (147 papers), Spectroscopy and Chemometric Analyses (104 papers), Soil Mechanics and Vehicle Dynamics (76 papers), Greenhouse Technology and Climate Control (73 papers), Agricultural Engineering and Mechanization (59 papers), Leaf Properties and Growth Measurement (58 papers) and Remote Sensing and LiDAR Applications (43 papers). The most active scholars publishing in AgriEngineering are Mbuyu Sumbwanyambe, Malusi Sibiya, Chrysanthos Maraveas, Ahmed Abdelmoamen Ahmed, Suresh Raja Neethirajan, Thomas Bartzanas, Huanyu Jiang, Jinzhu Lu, Shubham Sharma and Cesar Augusto Pedraza.
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.