Kaan Kara
About
In The Last Decade
Kaan Kara
24 papers receiving 362 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 223
- Artificial Intelligence 165
- Hardware and Architecture 153
- Computer Vision and Pattern Recognition 90
- Information Systems 68
Countries citing papers authored by Kaan Kara
This map shows the geographic impact of Kaan Kara'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 Kaan Kara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaan Kara more than expected).
Fields of papers citing papers by Kaan Kara
This network shows the impact of papers produced by Kaan Kara. 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 Kaan Kara. The network helps show where Kaan Kara may publish in the future.
Co-authorship network of co-authors of Kaan Kara
This figure shows the co-authorship network connecting the top 25 collaborators of Kaan Kara. A scholar is included among the top collaborators of Kaan Kara 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 Kaan Kara. Kaan Kara 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 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | doppioDB 1.0: Machine Learning inside a Relational Engine. | 7 |
| 11 | 3 | |
| 12 | 7 | |
| 13 | Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond. | 1 |
| 14 | Compressive Sensing with Low Precision Data Representation: Theory and Applications | 1 |
| 15 | ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning | 52 |
| 16 | 38 | |
| 17 | 46 | |
| 18 | 8 | |
| 19 | ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models. | 7 |
| 20 | 21 |
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.