Temujin Gautama
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Danilo P. MandicMarc M. Van HulleToshihisa TanakaA.G. ConstantinidesSu Lee GohTomasz M. RutkowskiPhebe VayanosBeth Jelfs
- Topics
- Neural Networks and Applications (12 papers)Blind Source Separation Techniques (8 papers)Chaos control and synchronization (7 papers)
- Partner nations
- BelgiumUnited KingdomFinland
In The Last Decade
Temujin Gautama
24 papers receiving 809 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 245
- Cognitive Neuroscience 198
- Signal Processing 187
- Artificial Intelligence 132
- Control and Systems Engineering 127
Countries citing papers authored by Temujin Gautama
This map shows the geographic impact of Temujin Gautama'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 Temujin Gautama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Temujin Gautama more than expected).
Fields of papers citing papers by Temujin Gautama
This network shows the impact of papers produced by Temujin Gautama. 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 Temujin Gautama. The network helps show where Temujin Gautama may publish in the future.
Co-authorship network of co-authors of Temujin Gautama
This figure shows the co-authorship network connecting the top 25 collaborators of Temujin Gautama. A scholar is included among the top collaborators of Temujin Gautama 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 Temujin Gautama. Temujin Gautama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 43 | |
| 3 | 33 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 45 | |
| 9 | 69 | |
| 10 | A non-parametric test for detecting the complex-valued nature of time series | 2 |
| 11 | 86 | |
| 12 | 41 | |
| 13 | 105 | |
| 14 | 228 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 1 |
About Temujin Gautama
Temujin Gautama is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 25 papers that have together received 847 indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Blind Source Separation Techniques (8 papers) and Chaos control and synchronization (7 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Vision and Pattern Recognition (245 citations) and Cognitive Neuroscience (198 citations). Temujin Gautama has collaborated with scholars based in Belgium, United Kingdom and Finland. Frequent co-authors include Danilo P. Mandic, Marc M. Van Hulle, Toshihisa Tanaka, A.G. Constantinides, Su Lee Goh, Tomasz M. Rutkowski, Phebe Vayanos, Beth Jelfs and Mo Chen. Their work appears in journals such as NeuroImage, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.