E. Valiante

4.2k total citations · 1 hit paper
16 papers, 678 citations indexed

About

E. Valiante is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, E. Valiante has authored 16 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 5 papers in Nuclear and High Energy Physics. Recurrent topics in E. Valiante's work include Galaxies: Formation, Evolution, Phenomena (13 papers), Astronomy and Astrophysical Research (5 papers) and Astrophysics and Cosmic Phenomena (5 papers). E. Valiante is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (13 papers), Astronomy and Astrophysical Research (5 papers) and Astrophysics and Cosmic Phenomena (5 papers). E. Valiante collaborates with scholars based in United Kingdom, Germany and United States. E. Valiante's co-authors include Hirotaka Tamura, Gili Rosenberg, Helmut G. Katzgraber, Toshiyuki Miyazawa, S. Maddox, M. W. L. Smith, N. Bourne, S. Dye, R. J. Ivison and Cristina Furlanetto and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

E. Valiante

15 papers receiving 655 citations

Hit Papers

Physics-Inspired Optimization for Quadratic Unconstrained... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Valiante United Kingdom 9 400 202 143 78 76 16 678
Naohito Nakasato Japan 14 547 1.4× 56 0.3× 121 0.8× 45 0.6× 106 1.4× 43 765
Harshitha Menon United States 12 179 0.4× 54 0.3× 44 0.3× 43 0.6× 87 1.1× 35 538
M. Stipčević Croatia 14 27 0.1× 184 0.9× 117 0.8× 23 0.3× 80 1.1× 42 452
Saikat Chatterjee United States 10 245 0.6× 45 0.2× 86 0.6× 9 0.1× 19 0.3× 15 408
Ted Kremenek United States 7 612 1.5× 92 0.5× 49 0.3× 9 0.1× 164 2.2× 7 879
Karim Pichara Chile 13 321 0.8× 83 0.4× 113 0.8× 6 0.1× 60 0.8× 28 506
Takuma Suda Japan 20 893 2.2× 62 0.3× 372 2.6× 5 0.1× 109 1.4× 89 1.1k
David Daniel United States 17 143 0.4× 75 0.4× 53 0.4× 9 0.1× 282 3.7× 26 701
H. M. Adorf Germany 10 322 0.8× 55 0.3× 45 0.3× 10 0.1× 189 2.5× 41 544
M.D. Galanis Greece 10 247 0.6× 77 0.4× 6 0.0× 9 0.1× 243 3.2× 34 492

Countries citing papers authored by E. Valiante

Since Specialization
Citations

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

Fields of papers citing papers by E. Valiante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Valiante

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

All Works

16 of 16 papers shown
1.
Valiante, E., Moslem Noori, Fabian Böhm, et al.. (2025). Parallel tempering–inspired distributed binary optimization with in-memory computing. Physical Review Applied. 23(3).
2.
Pedretti, Giacomo, Fabian Böhm, Arne Heittmann, et al.. (2025). Solving Boolean satisfiability problems with resistive content addressable memories. 2(1). 1 indexed citations
3.
Rosenberg, Gili, et al.. (2019). Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer. Frontiers in Physics. 7. 270 indexed citations breakdown →
4.
Amvrosiadis, Aristeidis, E. Valiante, J. González-Nuevo, et al.. (2018). Herschel-ATLAS : the spatial clustering of low- and high-redshift submillimetre galaxies. Monthly Notices of the Royal Astronomical Society. 483(4). 4649–4664. 6 indexed citations
5.
Furlanetto, Cristina, S. Dye, N. Bourne, et al.. (2018). The second Herschel–ATLAS Data Release – III. Optical and near-infrared counterparts in the North Galactic Plane field. Monthly Notices of the Royal Astronomical Society. 476(1). 961–978. 8 indexed citations
6.
González-Nuevo, J., Andrea Lapi, L. Bonavera, et al.. (2017). H-ATLAS/GAMA: magnification bias tomography. Astrophysical constraints above similar to 1 arcmin. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 20 indexed citations
7.
Smith, M. W. L., E. Ibar, S. Maddox, et al.. (2017). The Herschel–ATLAS Data Release 2, Paper I. Submillimeter and Far-infrared Images of the South and North Galactic Poles: The Largest Herschel Survey of the Extragalactic Sky. The Astrophysical Journal Supplement Series. 233(2). 26–26. 26 indexed citations
8.
Stanley, F., D. M. Alexander, C. M. Harrison, et al.. (2017). The mean star formation rates of unobscured QSOs: searching for evidence of suppressed or enhanced star formation. Monthly Notices of the Royal Astronomical Society. 472(2). 2221–2240. 62 indexed citations
9.
Maddox, Natasha, M. J. Jarvis, M. Banerji, et al.. (2017). Far-infrared emission in luminous quasars accompanied by nuclear outflows. Monthly Notices of the Royal Astronomical Society. 470(2). 2314–2319. 10 indexed citations
10.
Davies, J. I., M. W. L. Smith, E. Valiante, et al.. (2016). H-ATLAS: the far-infrared properties of galaxies in and around the Coma cluster. Monthly Notices of the Royal Astronomical Society. 458(1). 582–602. 5 indexed citations
11.
Valiante, E., M. W. L. Smith, S. A. Eales, et al.. (2016). TheHerschel -ATLAS data release 1 – I. Maps, catalogues and number counts. Monthly Notices of the Royal Astronomical Society. 462(3). 3146–3179. 95 indexed citations
12.
Bianchini, F., P. Bielewicz, Andrea Lapi, et al.. (2015). CROSS-CORRELATION BETWEEN THE CMB LENSING POTENTIAL MEASURED BYPLANCKAND HIGH-zSUBMILLIMETER GALAXIES DETECTED BY THEHERSCHEL-ATLAS SURVEY. The Astrophysical Journal. 802(1). 64–64. 47 indexed citations
13.
Cooray, Asantha, Hooshang Nayyeri, Caitlin M. Casey, et al.. (2015). EXTINCTION AND NEBULAR LINE PROPERTIES OF AHERSCHEL-SELECTED LENSED DUSTY STARBURST ATz= 1.027. The Astrophysical Journal. 805(2). 140–140. 3 indexed citations
14.
Smith, D. J. B., M. J. Jarvis, M. J. Hardcastle, et al.. (2014). The temperature dependence of the far-infrared–radio correlation in the Herschel-ATLAS★. Monthly Notices of the Royal Astronomical Society. 445(3). 2232–2243. 32 indexed citations
15.
Scott, K. S., Hans F. Stabenau, F. G. Braglia, et al.. (2010). SPITZER MIPS 24 and 70 μm IMAGING NEAR THE SOUTH ECLIPTIC POLE: MAPS AND SOURCE CATALOGS. The Astrophysical Journal Supplement Series. 191(2). 212–221. 7 indexed citations
16.
Lutz, D., E. Sturm, L. J. Tacconi, et al.. (2008). Star Formation in the Hosts of High‐zQSOs: Evidence fromSpitzerPAH Detections. The Astrophysical Journal. 684(2). 853–861. 86 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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