Firas Hamze

3.0k total citations
19 papers, 346 citations indexed

About

Firas Hamze is a scholar working on Artificial Intelligence, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Firas Hamze has authored 19 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 8 papers in Condensed Matter Physics. Recurrent topics in Firas Hamze's work include Markov Chains and Monte Carlo Methods (10 papers), Theoretical and Computational Physics (8 papers) and Bayesian Methods and Mixture Models (4 papers). Firas Hamze is often cited by papers focused on Markov Chains and Monte Carlo Methods (10 papers), Theoretical and Computational Physics (8 papers) and Bayesian Methods and Mixture Models (4 papers). Firas Hamze collaborates with scholars based in United States, Canada and Germany. Firas Hamze's co-authors include Helmut G. Katzgraber, Nando de Freitas, Ruben S. Andrist, Neil G. Dickson, Kamran Karimi, Stefan Schnabel, Ziyu Wang, Zheng Zhu, Jack Raymond and Yan Wu and has published in prestigious journals such as Journal of Computational Physics, Physical Review X and Physical review. A.

In The Last Decade

Firas Hamze

19 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Firas Hamze United States	11	233	71	62	56	46	19	346
Māris Ozols United States	11	426 1.8×	260 3.7×	50 0.8×	87 1.6×	8 0.2×	33	605
Y. Joanna Wong United States	4	99 0.4×	64 0.9×	96 1.5×	83 1.5×	32 0.7×	6	309
Cecilia Vernia Italy	10	47 0.2×	21 0.3×	87 1.4×	51 0.9×	19 0.4×	39	306
Sergey Knysh United States	8	537 2.3×	339 4.8×	44 0.7×	91 1.6×	11 0.2×	13	610
Hannu Reittu Finland	12	46 0.2×	95 1.3×	36 0.6×	65 1.2×	51 1.1×	34	467
Jean Michel Sellier Bulgaria	12	84 0.4×	203 2.9×	23 0.4×	24 0.4×	18 0.4×	45	360
Noam D. Elkies United States	13	122 0.5×	11 0.2×	33 0.5×	82 1.5×	18 0.4×	30	515
Marc Vuffray United States	9	81 0.3×	39 0.5×	10 0.2×	40 0.7×	13 0.3×	26	245
Léo Miolane France	6	78 0.3×	10 0.1×	19 0.3×	19 0.3×	118 2.6×	7	241
Yi‐Jun Chang China	13	172 0.7×	219 3.1×	9 0.1×	170 3.0×	9 0.2×	62	476

Countries citing papers authored by Firas Hamze

Since Specialization

Citations

This map shows the geographic impact of Firas Hamze'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 Firas Hamze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Firas Hamze more than expected).

Fields of papers citing papers by Firas Hamze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Firas Hamze. 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 Firas Hamze. The network helps show where Firas Hamze may publish in the future.

Co-authorship network of co-authors of Firas Hamze

This figure shows the co-authorship network connecting the top 25 collaborators of Firas Hamze. A scholar is included among the top collaborators of Firas Hamze 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 Firas Hamze. Firas Hamze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Hamze, Firas, et al.. (2024). Optimal schedules for annealing algorithms. Physical review. E. 109(6). 65301–65301. 1 indexed citations

Hamze, Firas, et al.. (2020). Wishart planted ensemble: A tunably rugged pairwise Ising model with a first-order phase transition. Physical review. E. 101(5). 52102–52102. 15 indexed citations

Hamze, Firas, et al.. (2020). Computational hardness of spin-glass problems with tile-planted solutions. Physical review. E. 101(2). 23316–23316. 12 indexed citations

Hamze, Firas, et al.. (2018). From near to eternity: Spin-glass planting, tiling puzzles, and constraint-satisfaction problems. Physical review. E. 97(4). 43303–43303. 14 indexed citations

Zhu, Zheng, et al.. (2016). Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities. Physical review. A. 93(1). 50 indexed citations

Zhu, Zheng, et al.. (2015). Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities. OakTrust (Texas A&M University Libraries). 2 indexed citations

Katzgraber, Helmut G., Firas Hamze, & Ruben S. Andrist. (2014). Glassy Chimeras Could Be Blind to Quantum Speedup: Designing Better Benchmarks for Quantum Annealing Machines. Physical Review X. 4(2). 84 indexed citations

Hamze, Firas, Ziyu Wang, & Nando de Freitas. (2013). Self-Avoiding Random Dynamics on Integer Complex Systems. ACM Transactions on Modeling and Computer Simulation. 23(1). 1–25. 9 indexed citations

Wang, Ziyu, et al.. (2012). Adaptive MCMC with Bayesian Optimization. Oxford University Research Archive (ORA) (University of Oxford). 22. 751–760. 28 indexed citations

10.

Karimi, Kamran, Neil G. Dickson, Firas Hamze, et al.. (2011). Investigating the performance of an adiabatic quantum optimization processor. Quantum Information Processing. 11(1). 77–88. 20 indexed citations

11.

Dickson, Neil G., Kamran Karimi, & Firas Hamze. (2011). Importance of explicit vectorization for CPU and GPU software performance. Journal of Computational Physics. 230(13). 5383–5398. 18 indexed citations

12.

Zhu, Li, Yanqiu Li, Yan Wu, et al.. (2010). Two case report studies of Langerhans cell histiocytosis with an analysis of 918 patients of Langerhans cell histiocytosis in literatures published in China^†. International Journal of Dermatology. 49(10). 1169–1174. 17 indexed citations

13.

Hamze, Firas & Nando de Freitas. (2010). Intracluster moves for constrained discrete-space MCMC. Oxford University Research Archive (ORA) (University of Oxford). 236–243. 3 indexed citations

14.

Karimi, Kamran, Neil G. Dickson, & Firas Hamze. (2010). High-performance Physics Simulations Using Multi-core CPUs and GPGPUs in a Volunteer Computing Context. The International Journal of High Performance Computing Applications. 25(1). 61–69. 8 indexed citations

15.

Hamze, Firas, Neil G. Dickson, & Kamran Karimi. (2010). ROBUST PARAMETER SELECTION FOR PARALLEL TEMPERING. International Journal of Modern Physics C. 21(5). 603–615. 10 indexed citations

16.

Carbonetto, Peter, Matthew King, & Firas Hamze. (2009). A Stochastic approximation method for inference in probabilistic graphical models. 22. 216–224. 7 indexed citations

17.

Hamze, Firas & Nando de Freitas. (2005). Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. Oxford University Research Archive (ORA) (University of Oxford). 18. 491–498. 9 indexed citations

18.

Hamze, Firas & Nando de Freitas. (2005). Hot coupling: a particle approach to inference and normalization on pairwise undirected graphs of arbitrary topology. Neural Information Processing Systems. 491–498. 8 indexed citations

19.

Hamze, Firas & Nando de Freitas. (2004). From fields to trees. Uncertainty in Artificial Intelligence. 243–250. 31 indexed citations

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.

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