Vanessa Böhm

433 total citations
9 papers, 192 citations indexed

About

Vanessa Böhm is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Vanessa Böhm has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Vanessa Böhm's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Cosmology and Gravitation Theories (5 papers) and Gamma-ray bursts and supernovae (3 papers). Vanessa Böhm is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Cosmology and Gravitation Theories (5 papers) and Gamma-ray bursts and supernovae (3 papers). Vanessa Böhm collaborates with scholars based in United States, Germany and Taiwan. Vanessa Böhm's co-authors include Marcel Schmittfull, Blake D. Sherwin, Uroš Seljak, Simone Ferraro, George Stein, Chirag Modi, J. Colin Hill, Jia Liu, Blake D. Sherwin and Zoltán Haiman and has published in prestigious journals such as Nature Communications, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

Vanessa Böhm

9 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vanessa Böhm United States	6	122	35	26	21	17	9	192
George Stein United States	7	211 1.7×	58 1.7×	26 1.0×	61 2.9×	17 1.0×	10	301
Ryan M. Lau United States	9	200 1.6×	46 1.3×	31 1.2×	25 1.2×	42 2.5×	41	355
Amaury Thiabaud Switzerland	10	311 2.5×	17 0.5×	7 0.3×	11 0.5×	41 2.4×	15	393
G. D. Meadors United States	8	181 1.5×	52 1.5×	11 0.4×		6 0.4×	9	200
E. Antonello Italy	8	160 1.3×	7 0.2×	17 0.7×	68 3.2×	10 0.6×	58	216
M. Fitzpatrick United States	5	165 1.4×	13 0.4×	3 0.1×	76 3.6×	9 0.5×	13	267
Jennifer C. Yee United States	11	289 2.4×	18 0.5×	2 0.1×	119 5.7×	33 1.9×	46	379
W. D. Vousden United Kingdom	2	130 1.1×	28 0.8×	3 0.1×	22 1.0×	2 0.1×	2	202
I. Cordero-Carrión Spain	12	303 2.5×	210 6.0×	26 1.0×		6 0.4×	26	426
P. Troncoso Chile	10	315 2.6×	35 1.0×	7 0.3×	135 6.4×		24	350

Countries citing papers authored by Vanessa Böhm

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa Böhm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Böhm

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

All Works

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9 of 9 papers shown

1.

Böhm, Vanessa, Alex Kim, & S. Juneau. (2023). Fast and efficient identification of anomalous galaxy spectra with neural density estimation. Monthly Notices of the Royal Astronomical Society. 526(2). 3072–3087. 2 indexed citations

2.

Böhm, Vanessa & Jia Liu. (2022). Impact of the COVID-19 pandemic on publishing in astronomy in the initial two years. Nature Astronomy. 7(1). 105–112. 4 indexed citations

3.

Modi, Chirag, Vanessa Böhm, Simone Ferraro, George Stein, & Uroš Seljak. (2021). Estimating COVID-19 mortality in Italy early in the COVID-19 pandemic. Nature Communications. 12(1). 2729–2729. 53 indexed citations

4.

Böhm, Vanessa, et al.. (2021). MADLens, a python package for fast and differentiable non-Gaussian lensing simulations. Astronomy and Computing. 36. 100490–100490. 15 indexed citations

5.

Böhm, Vanessa, Blake D. Sherwin, Jia Liu, et al.. (2018). Effect of non-Gaussian lensing deflections on CMB lensing measurements. Physical review. D. 98(12). 25 indexed citations

6.

Enßlin, T. A., et al.. (2017). Cosmic expansion history from SNe Ia data via information field theory: the charm code. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 2 indexed citations

7.

Böhm, Vanessa, et al.. (2017). Bayesian weak lensing tomography: Reconstructing the 3D large-scale distribution of matter with a lognormal prior. Physical review. D. 96(12). 18 indexed citations

8.

Böhm, Vanessa, Marcel Schmittfull, & Blake D. Sherwin. (2016). Bias to CMB lensing measurements from the bispectrum of large-scale structure. Physical review. D. 94(4). 35 indexed citations

9.

Liu, Jia, J. Colin Hill, Blake D. Sherwin, et al.. (2016). CMB lensing beyond the power spectrum: Cosmological constraints from the one-point probability distribution function and peak counts. Physical review. D. 94(10). 38 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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