Mohammad Taheri
About
In The Last Decade
Mohammad Taheri
56 papers receiving 470 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 243
- Computer Vision and Pattern Recognition 84
- Information Systems 70
- Radiology, Nuclear Medicine and Imaging 69
- Computer Networks and Communications 49
Countries citing papers authored by Mohammad Taheri
This map shows the geographic impact of Mohammad Taheri'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 Mohammad Taheri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Taheri more than expected).
Fields of papers citing papers by Mohammad Taheri
This network shows the impact of papers produced by Mohammad Taheri. 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 Mohammad Taheri. The network helps show where Mohammad Taheri may publish in the future.
Co-authorship network of co-authors of Mohammad Taheri
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Taheri. A scholar is included among the top collaborators of Mohammad Taheri 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 Mohammad Taheri. Mohammad Taheri 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 65 | |
| 14 | Fake News Spreader Identification in Twitter using Ensemble Modeling. Notebook for PAN at CLEF 2020. | 1 |
| 15 | 13 | |
| 16 | 36 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | A Fuzzy Approach to Clustering and Selecting Features for Classification of Gene Expression Data | 6 |
| 20 | Novel Auxiliary Techniques in Clustering | 5 |
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.