S. M. A. Taher
- Artificial Intelligence top 10%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Condensed Matter Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- John B. GruberJohnny C. HoH. H. HamdehK. A. GschneidnerN.P. ThuyWalid M. HikalL. C. OlsenToru Takeshita
- Topics
- Rare-earth and actinide compounds (8 papers)Magnetic and transport properties of perovskites and related materials (5 papers)Iron-based superconductors research (4 papers)
- Cited by
- Health Information ManagementCondensed Matter PhysicsElectronic, Optical and Magnetic Materials
- Journals
- The Journal of Chemical PhysicsPhysical review. B, Condensed matterJournal of Applied Physics
- Partner nations
- United StatesVietnamIndia
In The Last Decade
S. M. A. Taher
15 papers receiving 493 citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 155
- Electronic, Optical and Magnetic Materials 95
- Materials Chemistry 84
- Condensed Matter Physics 70
- Electrical and Electronic Engineering 42
Countries citing papers authored by S. M. A. Taher
This map shows the geographic impact of S. M. A. Taher'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 S. M. A. Taher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. A. Taher more than expected).
Fields of papers citing papers by S. M. A. Taher
This network shows the impact of papers produced by S. M. A. Taher. 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 S. M. A. Taher. The network helps show where S. M. A. Taher may publish in the future.
Co-authorship network of co-authors of S. M. A. Taher
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. A. Taher. A scholar is included among the top collaborators of S. M. A. Taher 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 S. M. A. Taher. S. M. A. Taher 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 Comparative Study of Categorical Variable Encoding Techniques for Neural Network Classifiersbreakdown → | 361 |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 1 |
About S. M. A. Taher
S. M. A. Taher is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Radiation, having authored 16 papers that have together received 512 indexed citations. Recurring topics across this work include Rare-earth and actinide compounds (8 papers), Magnetic and transport properties of perovskites and related materials (5 papers) and Iron-based superconductors research (4 papers). The work is most often cited by research in Health Information Management (31 citations), Condensed Matter Physics (70 citations) and Electronic, Optical and Magnetic Materials (95 citations). S. M. A. Taher has collaborated with scholars based in United States, Vietnam and India. Frequent co-authors include John B. Gruber, Johnny C. Ho, H. H. Hamdeh, K. A. Gschneidner, N.P. Thuy, Walid M. Hikal, L. C. Olsen, Toru Takeshita, B. J. Beaudry and Nguyen The Duc Hanh. Their work appears in journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Journal of Applied Physics.
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.