Martin Lukáč
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Marek PerkowskiMichitaka KameyamaDeborah EstrinLewis GirodThanos StathopoulosNithya RamanathanPaweł KerntopfJeremy Elson
- Topics
- Quantum Computing Algorithms and Architecture (26 papers)Quantum Information and Cryptography (16 papers)Quantum-Dot Cellular Automata (11 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- Scientific ReportsArtificial Intelligence ReviewComputational and Structural Biotechnology Journal
- Partner nations
- JapanUnited StatesKazakhstan
In The Last Decade
Martin Lukáč
53 papers receiving 362 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 228
- Computational Theory and Mathematics 158
- Electrical and Electronic Engineering 93
- Computer Networks and Communications 77
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Martin Lukáč
This map shows the geographic impact of Martin Lukáč'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 Martin Lukáč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lukáč more than expected).
Fields of papers citing papers by Martin Lukáč
This network shows the impact of papers produced by Martin Lukáč. 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 Martin Lukáč. The network helps show where Martin Lukáč may publish in the future.
Co-authorship network of co-authors of Martin Lukáč
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lukáč. A scholar is included among the top collaborators of Martin Lukáč 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 Martin Lukáč. Martin Lukáč 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | Algorithm selection platform in real-world intelligent systems | 1 |
| 11 | 1 | |
| 12 | VLSI platform for real-world intelligent integrated systems based on algorithm selection | 3 |
| 13 | Quantum finite state machines - A circuit based approach | 3 |
| 14 | High speed genetic algorithms in quantum logic synthesis: Low level parallelization vs. representation | 3 |
| 15 | Adaptive selection of intelligent processing modules and its applications | 0 |
| 16 | 13 | |
| 17 | In Vivo Characterization of a Wide area 802.11b Wireless Seismic Array | 9 |
| 18 | EmStar Software Environment | 2 |
| 19 | Use of Machine Learning Based on Constructive Induction in Dialogs with Robotic Heads | 1 |
| 20 | Automated Synthesis of Generalized Reversible Cascades using Genetic Algorithms | 28 |
About Martin Lukáč
Martin Lukáč is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 383 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (26 papers), Quantum Information and Cryptography (16 papers) and Quantum-Dot Cellular Automata (11 papers). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Artificial Intelligence (228 citations) and Computer Networks and Communications (77 citations). Martin Lukáč has collaborated with scholars based in Japan, United States and Kazakhstan. Frequent co-authors include Marek Perkowski, Michitaka Kameyama, Deborah Estrin, Lewis Girod, Thanos Stathopoulos, Nithya Ramanathan, Paweł Kerntopf, Jeremy Elson, Alan Mishchenko and Kyusik Chung. Their work appears in journals such as Scientific Reports, Artificial Intelligence Review and Computational and Structural Biotechnology Journal.
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.