Massih Amini
About
In The Last Decade
Massih Amini
1 paper receiving 10 citations
Peers
Comparison fields: 5 of 6
- Artificial Intelligence 11
- Computer Vision and Pattern Recognition 3
- Nephrology 1
- Health Information Management 1
- Information Systems 1
Countries citing papers authored by Massih Amini
This map shows the geographic impact of Massih Amini'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 Massih Amini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massih Amini more than expected).
Fields of papers citing papers by Massih Amini
This network shows the impact of papers produced by Massih Amini. 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 Massih Amini. The network helps show where Massih Amini may publish in the future.
Co-authorship network of co-authors of Massih Amini
This figure shows the co-authorship network connecting the top 25 collaborators of Massih Amini. A scholar is included among the top collaborators of Massih Amini 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 Massih Amini. Massih Amini 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 | A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning | 11 |
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.