Siavash Golkar

579 total citations
12 papers, 212 citations indexed

About

Siavash Golkar is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Siavash Golkar has authored 12 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Siavash Golkar's work include Quantum and electron transport phenomena (5 papers), Neural Networks and Applications (4 papers) and Physics of Superconductivity and Magnetism (3 papers). Siavash Golkar is often cited by papers focused on Quantum and electron transport phenomena (5 papers), Neural Networks and Applications (4 papers) and Physics of Superconductivity and Magnetism (3 papers). Siavash Golkar collaborates with scholars based in United States, United Kingdom and France. Siavash Golkar's co-authors include D. Son, Dung Xuan Nguyen, Matthew M. Roberts, Géraud Krawezik, Michael T. McCabe, Shirley Ho, Michael Eickenberg, François Lanusse, Miles Cranmer and Alberto Bietti and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Journal of High Energy Physics.

In The Last Decade

Siavash Golkar

11 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siavash Golkar United States	7	129	89	58	47	24	12	212
Sichun Sun China	10	108 0.8×	298 3.3×	26 0.4×	132 2.8×	20 0.8×	29	393
Andreas Aste Switzerland	10	86 0.7×	168 1.9×	17 0.3×	32 0.7×	4 0.2×	24	227
S. Dürr Germany	5	62 0.5×	401 4.5×	28 0.5×	30 0.6×	9 0.4×	6	475
Leonardo Cosmai Italy	15	95 0.7×	534 6.0×	107 1.8×	64 1.4×	23 1.0×	45	598
T. Kurth France	2	60 0.5×	294 3.3×	23 0.4×	28 0.6×	9 0.4×	2	342
C. O. Escobar Brazil	8	102 0.8×	152 1.7×	17 0.3×	35 0.7×	55 2.3×	26	264
Javier von Stecher United States	10	281 2.2×	35 0.4×	31 0.5×	27 0.6×	18 0.8×	13	288
Semyon Klevtsov United States	10	147 1.1×	80 0.9×	56 1.0×	37 0.8×	18 0.8×	20	272
Betzalel Bazak Israel	10	208 1.6×	194 2.2×	21 0.4×	10 0.2×	9 0.4×	31	344

Countries citing papers authored by Siavash Golkar

Since Specialization

Citations

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

Fields of papers citing papers by Siavash Golkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siavash Golkar

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

All Works

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12 of 12 papers shown

Parker, Liam, François Lanusse, Siavash Golkar, et al.. (2024). AstroCLIP: a cross-modal foundation model for galaxies. Monthly Notices of the Royal Astronomical Society. 531(4). 4990–5011. 19 indexed citations

Golkar, Siavash, et al.. (2023). An Online Algorithm for Contrastive Principal Component Analysis. 1–5. 1 indexed citations

Golkar, Siavash, et al.. (2023). Normative Framework for Deriving Neural Networks with Multicompartmental Neurons and Non-Hebbian Plasticity. 1(1). 1 indexed citations

Teşileanu, Tiberiu, et al.. (2022). Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Computation. 34(4). 891–938. 1 indexed citations

Golkar, Siavash, et al.. (2020). A simple normative network approximates local non-Hebbian learning in the cortex. Neural Information Processing Systems. 33. 7283–7295. 1 indexed citations

Nguyen, Dung Xuan, Siavash Golkar, Matthew M. Roberts, & D. Son. (2018). Particle-hole symmetry and composite fermions in fractional quantum Hall states. Physical review. B.. 97(19). 17 indexed citations

Golkar, Siavash, Dung Xuan Nguyen, Matthew M. Roberts, & D. Son. (2016). Higher-Spin Theory of the Magnetorotons. Physical Review Letters. 117(21). 216403–216403. 33 indexed citations

Golkar, Siavash, Dung Xuan Nguyen, & D. Son. (2016). Spectral sum rules and magneto-roton as emergent graviton in fractional quantum Hall effect. Journal of High Energy Physics. 2016(1). 38 indexed citations

Golkar, Siavash, Matthew M. Roberts, & D. Son. (2016). The Euler current and parity odd transport.

10.

Golkar, Siavash, Matthew M. Roberts, & D. Son. (2015). The Euler current and relativistic parity odd transport. Journal of High Energy Physics. 2015(4). 13 indexed citations

11.

Golkar, Siavash & D. Son. (2015). (Non)-renormalization of the chiral vortical effect coefficient. Journal of High Energy Physics. 2015(2). 74 indexed citations

12.

Golkar, Siavash, Matthew M. Roberts, & D. Son. (2014). Effective field theory of relativistic quantum hall systems. Journal of High Energy Physics. 2014(12). 14 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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