Kadir Akbudak
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Cevdet AykanatHatem LtaiefDavid E. KeyesJack DongarraOğuz SelvitopiYu PeiGeorge BosilcaQinglei Cao
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Distributed and Parallel Computing Systems (6 papers)Interconnection Networks and Systems (3 papers)
- Journals
- SIAM Journal on Scientific ComputingIEEE Transactions on Parallel and Distributed SystemsThe International Journal of High Performance Computing Applications
- Partner nations
- Saudi ArabiaUnited StatesTürkiye
In The Last Decade
Kadir Akbudak
15 papers receiving 172 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 102
- Computer Networks and Communications 94
- Artificial Intelligence 36
- Computer Vision and Pattern Recognition 34
- Computational Theory and Mathematics 28
Countries citing papers authored by Kadir Akbudak
This map shows the geographic impact of Kadir Akbudak'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 Kadir Akbudak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kadir Akbudak more than expected).
Fields of papers citing papers by Kadir Akbudak
This network shows the impact of papers produced by Kadir Akbudak. 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 Kadir Akbudak. The network helps show where Kadir Akbudak may publish in the future.
Co-authorship network of co-authors of Kadir Akbudak
This figure shows the co-authorship network connecting the top 25 collaborators of Kadir Akbudak. A scholar is included among the top collaborators of Kadir Akbudak 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 Kadir Akbudak. Kadir Akbudak 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 | 11 | |
| 4 | 25 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | Ubiquitous Asynchronous Computations for Solving the Acoustic Wave Propagation Equation | 1 |
| 10 | 17 | |
| 11 | 25 | |
| 12 | 14 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | Technical Report on | 24 |
About Kadir Akbudak
Kadir Akbudak is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 15 papers that have together received 177 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Distributed and Parallel Computing Systems (6 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (102 citations), Computational Mathematics (7 citations) and Computer Networks and Communications (94 citations). Kadir Akbudak has collaborated with scholars based in Saudi Arabia, United States and Türkiye. Frequent co-authors include Cevdet Aykanat, Hatem Ltaief, David E. Keyes, Jack Dongarra, Oğuz Selvitopi, Yu Pei, George Bosilca, Qinglei Cao, Aleksandr Mikhalev and Thomas Hérault. Their work appears in journals such as SIAM Journal on Scientific Computing, IEEE Transactions on Parallel and Distributed Systems and The International Journal of High Performance Computing Applications.
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.