Seongkyu Mun
About
In The Last Decade
Seongkyu Mun
16 papers receiving 364 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Signal Processing 300
- Artificial Intelligence 298
- Computer Vision and Pattern Recognition 47
- Control and Systems Engineering 13
- Experimental and Cognitive Psychology 11
Countries citing papers authored by Seongkyu Mun
This map shows the geographic impact of Seongkyu Mun'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 Seongkyu Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongkyu Mun more than expected).
Fields of papers citing papers by Seongkyu Mun
This network shows the impact of papers produced by Seongkyu Mun. 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 Seongkyu Mun. The network helps show where Seongkyu Mun may publish in the future.
Co-authorship network of co-authors of Seongkyu Mun
This figure shows the co-authorship network connecting the top 25 collaborators of Seongkyu Mun. A scholar is included among the top collaborators of Seongkyu Mun 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 Seongkyu Mun. Seongkyu Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | In Defence of Metric Learning for Speaker Recognition breakdown → | 232 |
| 8 | 26 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 42 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 2 |
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.