Martin Laforest
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Raymond LaflammeColm A. RyanJean-Christian BoileauJonathan BaughMarcus P. da SilvaOsama MoussaJoseph EmersonDavid G. Cory
- Topics
- Quantum Information and Cryptography (9 papers)Quantum Computing Algorithms and Architecture (8 papers)Quantum and electron transport phenomena (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Martin Laforest
10 papers receiving 788 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 653
- Atomic and Molecular Physics, and Optics 616
- Electrical and Electronic Engineering 114
- Computational Theory and Mathematics 105
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Martin Laforest
This map shows the geographic impact of Martin Laforest'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 Laforest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Laforest more than expected).
Fields of papers citing papers by Martin Laforest
This network shows the impact of papers produced by Martin Laforest. 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 Laforest. The network helps show where Martin Laforest may publish in the future.
Co-authorship network of co-authors of Martin Laforest
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Laforest. A scholar is included among the top collaborators of Martin Laforest 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 Laforest. Martin Laforest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 149 | |
| 2 | 12 | |
| 3 | 16 | |
| 4 | 70 | |
| 5 | 111 | |
| 6 | 22 | |
| 7 | 173 | |
| 8 | 19 | |
| 9 | 191 | |
| 10 | 56 |
About Martin Laforest
Martin Laforest is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 10 papers that have together received 819 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum and electron transport phenomena (4 papers). The work is most often cited by research in Artificial Intelligence (653 citations), Atomic and Molecular Physics, and Optics (616 citations) and Computational Theory and Mathematics (105 citations). Martin Laforest has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Raymond Laflamme, Colm A. Ryan, Jean-Christian Boileau, Jonathan Baugh, Marcus P. da Silva, Osama Moussa, Joseph Emerson, David G. Cory, Emanuel Knill and C. Negrevergne. Their work appears in journals such as Science, Physical Review Letters and Physical Review A.
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.