Matjaž Gams
About
In The Last Decade
Matjaž Gams
157 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 776
- Biomedical Engineering 657
- Artificial Intelligence 522
- Cardiology and Cardiovascular Medicine 415
- Experimental and Cognitive Psychology 407
Countries citing papers authored by Matjaž Gams
This map shows the geographic impact of Matjaž Gams'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 Matjaž Gams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Gams more than expected).
Fields of papers citing papers by Matjaž Gams
This network shows the impact of papers produced by Matjaž Gams. 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 Matjaž Gams. The network helps show where Matjaž Gams may publish in the future.
Co-authorship network of co-authors of Matjaž Gams
This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Gams. A scholar is included among the top collaborators of Matjaž Gams 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 Matjaž Gams. Matjaž Gams 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 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 43 | |
| 6 | JSI Sound - a Machine-Learning Tool in Orange for Simple Biosound Classification. | 1 |
| 7 | A Novel Way of Using Simulations to Support Urban Security Operations | 3 |
| 8 | Discovering Strategic Behaviour of Multi-Agent Systems in Adversary Settings | 3 |
| 9 | Medical diagnostics based on combination of sensor and user-provided data | 0 |
| 10 | 5 | |
| 11 | Intelligent elderly-care prototype for fall and disease detection | 22 |
| 12 | AAL for supporting elderly | 1 |
| 13 | Intelligent Monitoring of the Elderly in Home Environment | 1 |
| 14 | Evaluation of Different Approaches to Training a Genre Classifier. | 1 |
| 15 | COMPARING A TRADITIONAL AND A MULTI-AGENT LOAD-BALANCING SYSTEM | 2 |
| 16 | Why minimax works: an alternative explanation | 6 |
| 17 | A semi-universal e-commerce agent: domain-dependant information gathering | 2 |
| 18 | An agent that understands job descriptions | 2 |
| 19 | LFA+: A Fast Chaining Algorithm for Rule-Based Systems. | 1 |
| 20 | Mind versus computer: were Dreyfus and Winograd right? | 4 |
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.