Levon Aslanyan
About
In The Last Decade
Levon Aslanyan
45 papers receiving 215 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 74
- Computer Networks and Communications 36
- Molecular Biology 34
- Electrical and Electronic Engineering 31
Countries citing papers authored by Levon Aslanyan
This map shows the geographic impact of Levon Aslanyan'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 Levon Aslanyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levon Aslanyan more than expected).
Fields of papers citing papers by Levon Aslanyan
This network shows the impact of papers produced by Levon Aslanyan. 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 Levon Aslanyan. The network helps show where Levon Aslanyan may publish in the future.
Co-authorship network of co-authors of Levon Aslanyan
This figure shows the co-authorship network connecting the top 25 collaborators of Levon Aslanyan. A scholar is included among the top collaborators of Levon Aslanyan 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 Levon Aslanyan. Levon Aslanyan 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | CROSS INTERSECTION SEQUEL OF DISCRETE ISOPERIMETRY 1 | 1 |
| 18 | ASSOCIATION RULE MINING WITH N-DIMENSIONAL UNIT CUBE CHAIN SPLIT TECHNIQUE | 2 |
| 19 | LAGRANGEAN APPROXIMATION FOR COMBINATORIAL INVERSE PROBLEMS | 1 |
| 20 | ON LOGICAL CORRECTION OF NEURAL NETWORK ALGORITHMS FOR PATTERN RECOGNITION | 5 |
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.