Vladimir Lončar
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Nuclear and High Energy Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Antun BalažPaulsamy MuruganandamSadhan K. AdhikariM. PieriniJ. NgadiubaJ. DuarteZ. WuS. Summers
- Topics
- Particle Detector Development and Performance (11 papers)Particle physics theoretical and experimental studies (10 papers)Cold Atom Physics and Bose-Einstein Condensates (4 papers)
- Cited by
- Nuclear and High Energy PhysicsHardware and ArchitectureAtomic and Molecular Physics, and Optics
- Journals
- SHILAP Revista de lepidopterologíaComputer Physics CommunicationsNature Machine Intelligence
- Partner nations
- United StatesSwitzerlandSerbia
In The Last Decade
Vladimir Lončar
29 papers receiving 372 citations
Peers
Comparison fields: 5 of 66
- Atomic and Molecular Physics, and Optics 118
- Artificial Intelligence 97
- Nuclear and High Energy Physics 82
- Computer Vision and Pattern Recognition 67
- Electrical and Electronic Engineering 53
Countries citing papers authored by Vladimir Lončar
This map shows the geographic impact of Vladimir Lončar'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 Vladimir Lončar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Lončar more than expected).
Fields of papers citing papers by Vladimir Lončar
This network shows the impact of papers produced by Vladimir Lončar. 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 Vladimir Lončar. The network helps show where Vladimir Lončar may publish in the future.
Co-authorship network of co-authors of Vladimir Lončar
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Lončar. A scholar is included among the top collaborators of Vladimir Lončar 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 Vladimir Lončar. Vladimir Lončar 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 | 6 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 50 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml | 15 |
| 17 | Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML | 44 |
| 18 | 50 | |
| 19 | 6 | |
| 20 | 3 |
About Vladimir Lončar
Vladimir Lončar is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture and Artificial Intelligence, having authored 30 papers that have together received 376 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (11 papers), Particle physics theoretical and experimental studies (10 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (82 citations), Hardware and Architecture (35 citations) and Atomic and Molecular Physics, and Optics (118 citations). Vladimir Lončar has collaborated with scholars based in United States, Switzerland and Serbia. Frequent co-authors include Antun Balaž, Paulsamy Muruganandam, Sadhan K. Adhikari, M. Pierini, J. Ngadiuba, J. Duarte, Z. Wu, S. Summers, Luis E. Young-S. and Dylan Rankin. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nature Machine Intelligence.
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.