F.A. Valencia

494 total citations
21 papers, 320 citations indexed

About

F.A. Valencia is a scholar working on Condensed Matter Physics, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, F.A. Valencia has authored 21 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Condensed Matter Physics, 11 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in F.A. Valencia's work include Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (11 papers) and Cryptography and Data Security (8 papers). F.A. Valencia is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (11 papers) and Cryptography and Data Security (8 papers). F.A. Valencia collaborates with scholars based in United States, Switzerland and Germany. F.A. Valencia's co-authors include L. R. Newkirk, G. R. Stewart, Terry C. Wallace, Francesco Regazzoni, Tim Güneysu, E.G. Szklarz, Tobias Oder, M. P. Maley, J. D. Thompson and R. J. Bartlett and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of The Electrochemical Society and Physics Letters A.

In The Last Decade

F.A. Valencia

21 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.A. Valencia United States 12 197 160 70 63 40 21 320
H. Iwasaki Japan 7 78 0.4× 45 0.3× 8 0.1× 19 0.3× 94 2.4× 13 364
Binbin Zhu China 13 246 1.2× 110 0.7× 10 0.1× 27 0.4× 121 3.0× 29 358
Valtteri Lahtinen Finland 11 216 1.1× 194 1.2× 38 0.5× 24 0.4× 50 1.3× 36 330
Yuting Zhang China 11 76 0.4× 68 0.4× 9 0.1× 14 0.2× 7 0.2× 32 282
Haiyan Lu China 10 251 1.3× 33 0.2× 18 0.3× 21 0.3× 42 1.1× 49 423
A. Katz United States 11 52 0.3× 74 0.5× 50 0.7× 5 0.1× 13 0.3× 27 468
Luhong Mao China 9 24 0.1× 70 0.4× 48 0.7× 21 0.3× 29 0.7× 100 372
Philipp Walk Germany 9 47 0.2× 14 0.1× 46 0.7× 15 0.2× 23 0.6× 25 344
H.J. Boenig United States 15 217 1.1× 245 1.5× 117 1.7× 3 0.0× 31 0.8× 50 744
В. В. Доценко United States 11 167 0.8× 62 0.4× 45 0.6× 31 0.5× 8 0.2× 27 343

Countries citing papers authored by F.A. Valencia

Since Specialization
Citations

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

Fields of papers citing papers by F.A. Valencia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. Valencia. 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 F.A. Valencia. The network helps show where F.A. Valencia may publish in the future.

Co-authorship network of co-authors of F.A. Valencia

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

All Works

20 of 20 papers shown
1.
Chen, Huili, Rosario Cammarota, F.A. Valencia, Francesco Regazzoni, & Farinaz Koushanfar. (2020). AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. 1–6. 7 indexed citations
2.
Valencia, F.A., et al.. (2020). Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography. ACM Transactions on Embedded Computing Systems. 19(2). 1–17. 8 indexed citations
3.
Chen, Huili, Rosario Cammarota, F.A. Valencia, & Francesco Regazzoni. (2019). PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data. 333–336. 8 indexed citations
4.
Khalid, Ayesha, et al.. (2018). Physical Protection of Lattice-Based Cryptography. Research Portal (Queen's University Belfast). 365–370. 11 indexed citations
5.
Valencia, F.A., Ayesha Khalid, Elizabeth O’Sullivan, & Francesco Regazzoni. (2017). The design space of the number theoretic transform: A survey. Research Portal (Queen's University Belfast). 273–277. 4 indexed citations
6.
O׳Neill, Máire, Elizabeth O’Sullivan, Markku–Juhani O. Saarinen, et al.. (2016). Secure architectures of future emerging cryptography SAFEcrypto. Research Portal (Queen's University Belfast). 315–322. 4 indexed citations
7.
Oder, Tobias, Tim Güneysu, F.A. Valencia, et al.. (2016). Lattice-based cryptography: From reconfigurable hardware to ASIC. Research Portal (Queen's University Belfast). 62. 1–4. 12 indexed citations
8.
Maley, M. P., L. R. Newkirk, J. D. Thompson, & F.A. Valencia. (1981). Development of long continuous Nb<inf>3</inf>Ge tape conductors with high current density at elevated temperature and field. IEEE Transactions on Magnetics. 17(1). 533–540. 15 indexed citations
9.
Thompson, J. D., M. P. Maley, L. R. Newkirk, F.A. Valencia, & K.C. Lim. (1981). Superconductivity in A15 Nb3(Ge, Ga) and Nb(Ge, B) compounds. Physica B+C. 107(1-3). 267–268. 2 indexed citations
10.
Thompson, J. D., et al.. (1981). Construction and properties of a 1-m long Nb<inf>3</inf>Ge-based AC superconducting power transmission cable. IEEE Transactions on Magnetics. 17(1). 149–152. 4 indexed citations
11.
Stewart, G. R., L. R. Newkirk, & F.A. Valencia. (1980). Impurity stabilizedA15Nb3Nb - a new superconductor. Physical review. B, Condensed matter. 21(11). 5055–5064. 27 indexed citations
12.
Stewart, G. R., L. R. Newkirk, & F.A. Valencia. (1979). Properties of high-Tc,A−15Nb3Si: An extrapolation. Physical review. B, Condensed matter. 20(9). 3647–3652. 12 indexed citations
13.
Thompson, J. D., M. P. Maley, L. R. Newkirk, et al.. (1978). High current densities at 20T in long (20m) tapes of CVD-prepared Nb3Ge. Solid State Communications. 28(9). 729–732. 8 indexed citations
14.
Stewart, G. R., L. R. Newkirk, & F.A. Valencia. (1978). Specific heat of single phase Nb3Ge. Solid State Communications. 26(7). 417–420. 37 indexed citations
15.
Carlson, R. E., R. J. Bartlett, L. R. Newkirk, & F.A. Valencia. (1977). Critical current measurements of CVD prepared Nb<inf>3</inf>Ge containing various amounts of second phase (Nb<inf>5</inf>Ge<inf>3</inf>) material. IEEE Transactions on Magnetics. 13(1). 648–650. 16 indexed citations
16.
Sweedler, A. R., D. E. Cox, S. Moehlecke, et al.. (1976). Superconductivity and phase stability of Nb3Ge. Journal of Low Temperature Physics. 24(5-6). 645–661. 31 indexed citations
17.
Thompson, J. D., M. P. Maley, L. R. Newkirk, & F.A. Valencia. (1976). Measurement of low hysteretic losses in CVD prepared Nb3Ge. Physics Letters A. 57(4). 351–353. 9 indexed citations
18.
Newkirk, L. R., F.A. Valencia, & Terry C. Wallace. (1976). The Preparation of High T c Nb3Ge Superconductors by Chemical Vapor Deposition. Journal of The Electrochemical Society. 123(3). 425–429. 30 indexed citations
19.
Newkirk, L. R., et al.. (1975). Bulk superconductivity above 20 K in Nb<inf>3</inf>Ge. IEEE Transactions on Magnetics. 11(2). 221–224. 46 indexed citations
20.
Harper, J. M. E., T. H. Geballe, L. R. Newkirk, & F.A. Valencia. (1975). Low temperature thermal and electrical properties of chemical-vapor-deposited Nb3Ge. Journal of the Less Common Metals. 43(1-2). 5–11. 11 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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