Dionysis Bochtis
- Plant Science top 0.5%
- Ecology top 2%
- Mechanical Engineering top 2%
- Civil and Structural Engineering top 1%
- Environmental Engineering top 1%
- Co-authors
- Claus Aage Grøn SørensenPatrizia BusatoSimon PearsonDimitrios MoshouΚωνσταντίνος ΛιάκοςLefteris BenosStavros VougioukasRemigio Berruto
- Topics
- Smart Agriculture and AI (38 papers)Soil Mechanics and Vehicle Dynamics (26 papers)Agricultural Engineering and Mechanization (22 papers)
In The Last Decade
Dionysis Bochtis
163 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Plant Science 3.1k
- Ecology 1.0k
- Mechanical Engineering 876
- Civil and Structural Engineering 741
- Environmental Engineering 741
Countries citing papers authored by Dionysis Bochtis
This map shows the geographic impact of Dionysis Bochtis'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 Dionysis Bochtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionysis Bochtis more than expected).
Fields of papers citing papers by Dionysis Bochtis
This network shows the impact of papers produced by Dionysis Bochtis. 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 Dionysis Bochtis. The network helps show where Dionysis Bochtis may publish in the future.
Co-authorship network of co-authors of Dionysis Bochtis
This figure shows the co-authorship network connecting the top 25 collaborators of Dionysis Bochtis. A scholar is included among the top collaborators of Dionysis Bochtis 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 Dionysis Bochtis. Dionysis Bochtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 73 | |
| 11 | 6 | |
| 12 | 38 | |
| 13 | 18 | |
| 14 | Machine Learning in Agriculture: A Comprehensive Updated Reviewbreakdown → | 461 |
| 15 | 11 | |
| 16 | 13 | |
| 17 | Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction. | 5 |
| 18 | 1 | |
| 19 | Spatio-temporal Constrained Planning Software for Field Machinery | 1 |
| 20 | Field Operation Planning for Agricultural Vehicles: A Hierarchical Modeling Framework | 15 |
About Dionysis Bochtis
Dionysis Bochtis is a scholar working on Industrial and Manufacturing Engineering, Plant Science and Civil and Structural Engineering, having authored 169 papers that have together received 7.0k indexed citations. Recurring topics across this work include Smart Agriculture and AI (38 papers), Soil Mechanics and Vehicle Dynamics (26 papers) and Agricultural Engineering and Mechanization (22 papers). The work is most often cited by research in Plant Science (3.1k citations), Industrial and Manufacturing Engineering (643 citations) and Analytical Chemistry (534 citations). Dionysis Bochtis has collaborated with scholars based in Greece, Denmark and Italy. Frequent co-authors include Claus Aage Grøn Sørensen, Patrizia Busato, Simon Pearson, Dimitrios Moshou, Κωνσταντίνος Λιάκος, Lefteris Benos, Stavros Vougioukas, Remigio Berruto, Dimitrios Katerıs and Aristotelis C. Tagarakis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.