Amir Seyed Danesh
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Water Science and Technology
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Shahaboddin ShamshirbandDalibor PetkovićAlireza ArabameriSubodh Chandra PalRodina AhmadBiswajeet PradhanAsish SahaArash Habibi Lashkari
- Topics
- Software Engineering Research (6 papers)Software Engineering Techniques and Practices (6 papers)Hydrological Forecasting Using AI (4 papers)
In The Last Decade
Amir Seyed Danesh
21 papers receiving 345 citations
Peers
Comparison fields: 5 of 80
- Global and Planetary Change 112
- Environmental Engineering 99
- Water Science and Technology 68
- Artificial Intelligence 61
- Electrical and Electronic Engineering 58
Countries citing papers authored by Amir Seyed Danesh
This map shows the geographic impact of Amir Seyed Danesh'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 Amir Seyed Danesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Seyed Danesh more than expected).
Fields of papers citing papers by Amir Seyed Danesh
This network shows the impact of papers produced by Amir Seyed Danesh. 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 Amir Seyed Danesh. The network helps show where Amir Seyed Danesh may publish in the future.
Co-authorship network of co-authors of Amir Seyed Danesh
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Seyed Danesh. A scholar is included among the top collaborators of Amir Seyed Danesh 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 Amir Seyed Danesh. Amir Seyed Danesh 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 | 9 | |
| 3 | 53 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 78 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 32 | |
| 10 | 22 | |
| 11 | 44 | |
| 12 | 4 | |
| 13 | 50 | |
| 14 | A survey on implementation of a Linux-based operating system using LFS method | 0 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 27 | |
| 20 | 18 |
About Amir Seyed Danesh
Amir Seyed Danesh is a scholar working on Computer Science Applications, Environmental Engineering and Artificial Intelligence, having authored 23 papers that have together received 367 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (6 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Environmental Engineering (99 citations), Global and Planetary Change (112 citations) and Soil Science (50 citations). Amir Seyed Danesh has collaborated with scholars based in Malaysia, Iran and Serbia. Frequent co-authors include Shahaboddin Shamshirband, Dalibor Petković, Alireza Arabameri, Subodh Chandra Pal, Rodina Ahmad, Biswajeet Pradhan, Asish Saha, Arash Habibi Lashkari, Romulus Costache and Saro Lee. Their work appears in journals such as Mechanical Systems and Signal Processing, Water Resources Management and Robotics and Computer-Integrated Manufacturing.
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.