Nicholas Geneva

726 total citations
7 papers, 469 citations indexed

About

Nicholas Geneva is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicholas Geneva has authored 7 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 4 papers in Electrical and Electronic Engineering and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicholas Geneva's work include Aerosol Filtration and Electrostatic Precipitation (4 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Nicholas Geneva is often cited by papers focused on Aerosol Filtration and Electrostatic Precipitation (4 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Vibration Analysis (4 papers). Nicholas Geneva collaborates with scholars based in United States and China. Nicholas Geneva's co-authors include Nicholas Zabaras, Cheng Peng, Lian‐Ping Wang, Zhaoli Guo and Xiaoming Li and has published in prestigious journals such as Journal of Computational Physics, Neural Networks and Computers & Mathematics with Applications.

In The Last Decade

Nicholas Geneva

7 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Geneva United States	7	236	233	83	70	56	7	469
Suraj Pawar United States	13	287 1.2×	246 1.1×	66 0.8×	106 1.5×	68 1.2×	34	556
George Em Karniadakis United States	6	219 0.9×	126 0.5×	63 0.8×	47 0.7×	33 0.6×	14	369
Mohammad Amin Nabian United States	9	192 0.8×	120 0.5×	68 0.8×	54 0.8×	22 0.4×	18	421
Hamidreza Eivazi Sweden	10	340 1.4×	302 1.3×	58 0.7×	163 2.3×	19 0.3×	18	547
Pu Ren United States	8	177 0.8×	86 0.4×	75 0.9×	38 0.5×	24 0.4×	13	393
Andrea Mola Italy	12	260 1.1×	287 1.2×	20 0.2×	86 1.2×	27 0.5×	36	471
Nicola Demo Italy	11	207 0.9×	118 0.5×	37 0.4×	71 1.0×	25 0.4×	22	336
Jose Perez Spain	11	84 0.4×	227 1.0×	44 0.5×	96 1.4×	19 0.3×	38	446
Timothy Wildey United States	16	112 0.5×	281 1.2×	69 0.8×	27 0.4×	61 1.1×	52	644

Countries citing papers authored by Nicholas Geneva

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Geneva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Geneva

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

All Works

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7 of 7 papers shown

1.

Geneva, Nicholas & Nicholas Zabaras. (2021). Transformers for modeling physical systems. Neural Networks. 146. 272–289. 95 indexed citations

2.

Geneva, Nicholas & Nicholas Zabaras. (2019). Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks. Journal of Computational Physics. 403. 109056–109056. 186 indexed citations

3.

Geneva, Nicholas & Nicholas Zabaras. (2019). Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks. Journal of Computational Physics. 383. 125–147. 95 indexed citations

4.

Peng, Cheng, Nicholas Geneva, Zhaoli Guo, & Lian‐Ping Wang. (2017). Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method. Journal of Computational Physics. 357. 16–42. 49 indexed citations

5.

Geneva, Nicholas, Cheng Peng, Xiaoming Li, & Lian‐Ping Wang. (2017). A scalable interface-resolved simulation of particle-laden flow using the lattice Boltzmann method. Parallel Computing. 67. 20–37. 22 indexed citations

6.

Peng, Cheng, Nicholas Geneva, Zhaoli Guo, & Lian‐Ping Wang. (2017). Issues associated with Galilean invariance on a moving solid boundary in the lattice Boltzmann method. Physical review. E. 95(1). 10 indexed citations

7.

Wang, Lian‐Ping, et al.. (2016). A lattice-Boltzmann scheme of the Navier–Stokes equation on a three-dimensional cuboid lattice. Computers & Mathematics with Applications. 78(4). 1053–1075. 12 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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