V. Natoli

533 total citations
15 papers, 431 citations indexed

About

V. Natoli is a scholar working on Ocean Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, V. Natoli has authored 15 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ocean Engineering, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computer Networks and Communications. Recurrent topics in V. Natoli's work include Reservoir Engineering and Simulation Methods (7 papers), Enhanced Oil Recovery Techniques (5 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). V. Natoli is often cited by papers focused on Reservoir Engineering and Simulation Methods (7 papers), Enhanced Oil Recovery Techniques (5 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). V. Natoli collaborates with scholars based in United States, Germany and Czechia. V. Natoli's co-authors include Richard M. Martin, David M. Ceperley, Detlef Hohl, S. Ezekiel, P. R. Hemmer, M. S. Shahriar, K. Esler, P. Douglas Yoder, J. Kudrnovský and M. V. Ganduglia-Pirovano and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

V. Natoli

14 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Natoli United States 9 278 157 70 58 56 15 431
Armik V. M. Khachatourian United States 9 107 0.4× 37 0.2× 86 1.2× 88 1.5× 38 0.7× 15 351
Shiyang Zou China 11 187 0.7× 65 0.4× 53 0.8× 23 0.4× 14 0.3× 58 371
R. Mazighi France 12 209 0.8× 21 0.1× 173 2.5× 9 0.2× 56 1.0× 17 470
G. Hétet France 21 1.1k 3.9× 64 0.4× 267 3.8× 134 2.3× 5 0.1× 53 1.3k
Alan K. Harrison United States 8 123 0.4× 30 0.2× 138 2.0× 20 0.3× 21 0.4× 15 413
Slobodan Mitic Germany 13 202 0.7× 93 0.6× 43 0.6× 123 2.1× 13 0.2× 27 331
E. B. Graham South Africa 12 285 1.0× 36 0.2× 17 0.2× 133 2.3× 26 0.5× 24 408
T. N. Antsygina Ukraine 10 217 0.8× 102 0.6× 76 1.1× 16 0.3× 35 0.6× 61 344
Chuan Lu China 7 266 1.0× 25 0.2× 57 0.8× 53 0.9× 22 0.4× 17 409
Kai Luo China 13 353 1.3× 64 0.4× 241 3.4× 99 1.7× 34 567

Countries citing papers authored by V. Natoli

Since Specialization
Citations

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

Fields of papers citing papers by V. Natoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Natoli

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

All Works

15 of 15 papers shown
1.
Zhang, Y., et al.. (2021). Improving GPU throughput of reservoir simulations using NVIDIA MPS and MIG. 1–5. 6 indexed citations
2.
Esler, K., et al.. (2016). GPU Acceleration of Equation of State Calculations in Compositional Reservoir Simulation. Proceedings. 11 indexed citations
3.
4.
Mukundakrishnan, K., K. Esler, V. Natoli, et al.. (2015). Accelerating Tight Reservoir Workflows With GPUs. 11 indexed citations
5.
6.
Esler, K., et al.. (2014). Realizing the Potential of GPUs for Reservoir Simulation. Proceedings. 23 indexed citations
7.
Shumway, J. Matthew, et al.. (2014). Rapid High-Fidelity Reservoir Simulation with Fine-Grained Parallelism on Multiple GPUs. Proceedings. 3 indexed citations
8.
Esler, K., et al.. (2012). GAMPACK (GPU Accelerated Algebraic Multigrid Package). Proceedings. 10 indexed citations
9.
Esler, K., et al.. (2011). Accelerating Reservoir Simulation with GPUs. Proceedings. 2 indexed citations
10.
Ganduglia-Pirovano, M. V., V. Natoli, M. H. Cohen, J. Kudrnovský, & I. Turek. (1996). Potential, core-level, anddband shifts at transition-metal surfaces. Physical review. B, Condensed matter. 54(12). 8892–8898. 52 indexed citations
11.
Hohl, Detlef, V. Natoli, David M. Ceperley, & Richard M. Martin. (1993). Molecular dynamics in dense hydrogen. Physical Review Letters. 71(4). 541–544. 94 indexed citations
12.
Yoder, P. Douglas, V. Natoli, & Richard M. Martin. (1993). Ab initio analysis of the electron-phonon interaction in silicon. Journal of Applied Physics. 73(9). 4378–4383. 37 indexed citations
13.
Natoli, V., Richard M. Martin, & David M. Ceperley. (1993). Crystal structure of atomic hydrogen. Physical Review Letters. 70(13). 1952–1955. 109 indexed citations
14.
Hemmer, P. R., M. S. Shahriar, V. Natoli, & S. Ezekiel. (1989). Ac Stark shifts in a two-zone Raman interaction. Journal of the Optical Society of America B. 6(8). 1519–1519. 64 indexed citations
15.
Hemmer, Philip, V. Natoli, M. S. Shahriar, et al.. (1987). Study of Several Error Sources in a Laser Raman Clock. 42–46. 1 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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