Tamara G. Kolda
About
In The Last Decade
Tamara G. Kolda
82 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Computational Mathematics 5.9k
- Artificial Intelligence 2.9k
- Computational Mechanics 2.8k
- Computer Vision and Pattern Recognition 2.3k
- Computational Theory and Mathematics 2.0k
Countries citing papers authored by Tamara G. Kolda
This map shows the geographic impact of Tamara G. Kolda'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 Tamara G. Kolda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara G. Kolda more than expected).
Fields of papers citing papers by Tamara G. Kolda
This network shows the impact of papers produced by Tamara G. Kolda. 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 Tamara G. Kolda. The network helps show where Tamara G. Kolda may publish in the future.
Co-authorship network of co-authors of Tamara G. Kolda
This figure shows the co-authorship network connecting the top 25 collaborators of Tamara G. Kolda. A scholar is included among the top collaborators of Tamara G. Kolda 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 Tamara G. Kolda. Tamara G. Kolda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 154 | |
| 7 | 77 | |
| 8 | On Reciprocity in Massively Multi-player Online Game Networks | 2 |
| 9 | Newton-Based Optimization for Nonnegative Tensor Factorizations. | 2 |
| 10 | The importance of directed triangles with reciprocity: patterns and algorithms. | 4 |
| 11 | Fast triangle counting through wedge sampling. | 13 |
| 12 | 136 | |
| 13 | A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs | 2 |
| 14 | An In-Depth Study of Stochastic Kronecker Graphs. | 1 |
| 15 | 94 | |
| 16 | Tensor Decompositions and Applications breakdown → | 6465 |
| 17 | 7 | |
| 18 | EXTRACTING CLUSTERS FROM LARGE DATASETS WITH MULTIPLE SIMILARITY MEASURES USING IMSCAND | 12 |
| 19 | 71 | |
| 20 | Limited-memory matrix methods with applications | 26 |
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.