F. Subba

1.4k total citations
59 papers, 511 citations indexed

About

F. Subba is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, F. Subba has authored 59 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 41 papers in Materials Chemistry and 23 papers in Aerospace Engineering. Recurrent topics in F. Subba's work include Magnetic confinement fusion research (49 papers), Fusion materials and technologies (41 papers) and Nuclear reactor physics and engineering (17 papers). F. Subba is often cited by papers focused on Magnetic confinement fusion research (49 papers), Fusion materials and technologies (41 papers) and Nuclear reactor physics and engineering (17 papers). F. Subba collaborates with scholars based in Italy, Germany and United Kingdom. F. Subba's co-authors include R. Zanino, D. Coster, M. Siccinio, X. Bonnin, Laura Savoldi, M. Cavedon, D. Tskhakaya, G. Federici, G. Mazzitelli and L. Aho-Mantila and has published in prestigious journals such as Computer Physics Communications, Physics Letters A and Journal of Nuclear Materials.

In The Last Decade

F. Subba

54 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Subba Italy	14	369	343	205	102	72	59	511
J.P. Gunn France	14	394 1.1×	308 0.9×	157 0.8×	89 0.9×	86 1.2×	39	489
J. Bucalossi France	12	434 1.2×	392 1.1×	144 0.7×	113 1.1×	71 1.0×	48	548
E. Sytova Germany	8	514 1.4×	563 1.6×	141 0.7×	144 1.4×	43 0.6×	12	660
F. Maviglia Italy	15	495 1.3×	348 1.0×	218 1.1×	238 2.3×	85 1.2×	61	635
M.A. Miller United States	5	335 0.9×	398 1.2×	110 0.5×	78 0.8×	36 0.5×	15	489
C. Desgranges France	12	246 0.7×	201 0.6×	188 0.9×	65 0.6×	90 1.3×	40	396
A. Martín France	8	312 0.8×	334 1.0×	127 0.6×	142 1.4×	42 0.6×	21	478
É. A. Azizov Russia	13	347 0.9×	375 1.1×	172 0.8×	140 1.4×	85 1.2×	50	584
H.G. Esser Germany	13	371 1.0×	445 1.3×	98 0.5×	63 0.6×	66 0.9×	29	511
V. A. Belyakov Russia	12	241 0.7×	189 0.6×	146 0.7×	176 1.7×	60 0.8×	57	435

Countries citing papers authored by F. Subba

Since Specialization

Citations

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

Fields of papers citing papers by F. Subba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Subba

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

All Works

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20 of 20 papers shown

Subba, F., et al.. (2025). Power exhaust scenarios for EU-DEMO. Nuclear Fusion. 65(8). 86024–86024.

Février, O., et al.. (2025). Impact of triangularity on edge transport and divertor detachment: a SOLPS-ITER study of TCV L-mode plasmas. Nuclear Fusion. 65(10). 106012–106012.

Greenwald, M., et al.. (2024). Cross-code comparison of the edge codes SOLPS-ITER, SOLEDGE2D and UEDGE in modelling a high-power neon-seeded scenario in the DTT. Nuclear Fusion. 65(2). 26025–26025. 1 indexed citations

Dekeyser, W., et al.. (2024). Discretization error estimation for EU‐DEMO plasma‐edge simulations using SOLPS‐ITER with fluid neutrals. Contributions to Plasma Physics. 64(7-8).

Shi, Peng, et al.. (2023). SOLPS-ITER numerical evaluation about the effect of drifts in a divertor configuration of ASDEX-Upgrade and a limiter configuration of J-TEXT. Fusion Engineering and Design. 196. 114023–114023. 2 indexed citations

Borgogno, D., et al.. (2023). Post-disruption reconnection event driven by a runaway current. Physics of Plasmas. 30(12). 1 indexed citations

Luda, T., et al.. (2023). Towards Integrated Target–SOL–Core Plasma Simulations for Fusion Devices with Liquid Metal Targets. Journal of Fusion Energy. 42(2). 4 indexed citations

Greenwald, M., et al.. (2021). Cross-code comparison of the edge codes SOLPS-ITER, SOLEDGE2D and UEDGE in modelling a low-power scenario in the DTT. Nuclear Fusion. 62(5). 56009–56009. 13 indexed citations

Xiang, L., F. Militello, D. Moulton, et al.. (2021). The operational space for divertor power exhaust in DEMO with a super-X divertor. Nuclear Fusion. 61(7). 76007–76007. 15 indexed citations

10.

Subba, F., et al.. (2021). SOLPS-ITER modeling of ASDEX Upgrade L-mode detachment states. Plasma Physics and Controlled Fusion. 63(10). 105005–105005. 16 indexed citations

11.

Xiang, L., D. Moulton, F. Militello, et al.. (2021). Understanding the Effects of Super-X Divertor Configuration on Optimizing Operation Space in DEMO.

12.

Carr, M., Sandra Dulla, F. Maviglia, et al.. (2021). Parametric study of the radiative load distribution on the EU-DEMO first wall due to SPI-mitigated disruptions. Fusion Engineering and Design. 172. 112917–112917. 3 indexed citations

13.

Subba, F., et al.. (2020). Comparison of SOLPS5.0 and SOLPS‐ITER simulations for ASDEX upgrade L‐mode. Contributions to Plasma Physics. 60(4). 2 indexed citations

14.

Mazzitelli, G., et al.. (2019). Self-consistent modelling of a liquid metal box-type divertor with application to the divertor tokamak test facility: Li versus Sn. Nuclear Fusion. 59(6). 66020–66020. 14 indexed citations

15.

Subba, F., L. Aho-Mantila, R. Ambrosino, et al.. (2017). Preliminary analysis of the efficiency of non-standard divertor configurations in DEMO. Nuclear Materials and Energy. 12. 967–972. 7 indexed citations

16.

Savoldi, Laura, et al.. (2010). Effects of Mass Flow Rate Imbalance Among Petals During ${\rm T}_{\rm CS}$ Measurements of ITER TF Short Samples in SULTAN. IEEE Transactions on Applied Superconductivity. 21(3). 1978–1981. 2 indexed citations

17.

Subba, F., A. Airoldi, F. Bombarda, et al.. (2007). Development of a computational tool for limiter edge plasma modeling with application to IGNITOR. Journal of Nuclear Materials. 363-365. 693–697. 2 indexed citations

18.

Colombo, Emanuela, et al.. (2006). Computational fluid dynamic model of a tapered Holweck vacuum pump operating in the viscous and transition regimes. I. Vacuum performance. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 24(4). 1584–1591. 11 indexed citations

19.

Subba, F., et al.. (2004). Multidimensional flow modeling of the compression test of a Gaede pump stage in the viscous regime. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 22(4). 1828–1835. 4 indexed citations

20.

Porcelli, Francesco, et al.. (1999). Plasma-wall boundary layers. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(4). 4733–4742. 4 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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