J. Ott

23.0k total citations
57 papers, 1.6k citations indexed

About

J. Ott is a scholar working on Astronomy and Astrophysics, Spectroscopy and Nuclear and High Energy Physics. According to data from OpenAlex, J. Ott has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Astronomy and Astrophysics, 14 papers in Spectroscopy and 12 papers in Nuclear and High Energy Physics. Recurrent topics in J. Ott's work include Astrophysics and Star Formation Studies (40 papers), Galaxies: Formation, Evolution, Phenomena (26 papers) and Stellar, planetary, and galactic studies (20 papers). J. Ott is often cited by papers focused on Astrophysics and Star Formation Studies (40 papers), Galaxies: Formation, Evolution, Phenomena (26 papers) and Stellar, planetary, and galactic studies (20 papers). J. Ott collaborates with scholars based in United States, Germany and Australia. J. Ott's co-authors include K. M. Menten, P. Schilke, А. Беллоче, Andrew Walsh, H. S. P. Müller, C. Comito, Sven Thorwirth, Steven N. Longmore, J. M. Diederik Kruijssen and Cara Battersby and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Journal of Infectious Diseases.

In The Last Decade

J. Ott

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ott United States 22 1.4k 427 310 246 163 57 1.6k
Tomoharu Oka Japan 24 1.6k 1.1× 554 1.3× 414 1.3× 353 1.4× 268 1.6× 69 1.9k
Isabelle Cherchneff Switzerland 20 1.2k 0.9× 367 0.9× 120 0.4× 424 1.7× 220 1.3× 45 1.5k
John H. Bieging United States 24 1.5k 1.1× 487 1.1× 135 0.4× 204 0.8× 275 1.7× 101 1.7k
H. Wiesemeyer Germany 26 2.1k 1.5× 604 1.4× 207 0.7× 286 1.2× 423 2.6× 91 2.4k
E. L. O. Bakes United States 17 1.9k 1.4× 510 1.2× 115 0.4× 565 2.3× 466 2.9× 27 2.2k
T. Velusamy United States 26 1.9k 1.3× 487 1.1× 295 1.0× 244 1.0× 387 2.4× 100 2.0k
David M. Meyer United States 28 1.9k 1.3× 366 0.9× 179 0.6× 368 1.5× 377 2.3× 69 2.1k
M. T. Beltrán Italy 32 2.5k 1.8× 1.1k 2.7× 399 1.3× 332 1.3× 536 3.3× 147 2.7k
S. Bovino Italy 22 1.2k 0.8× 256 0.6× 205 0.7× 342 1.4× 166 1.0× 74 1.5k
L. Verstraete France 20 1.3k 0.9× 287 0.7× 106 0.3× 327 1.3× 267 1.6× 41 1.4k

Countries citing papers authored by J. Ott

Since Specialization
Citations

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

Fields of papers citing papers by J. Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ott

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ott. A scholar is included among the top collaborators of J. Ott 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 J. Ott. J. Ott 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.
Schaffer, M. J., et al.. (2025). Life cycle assessment of a novel hybrid energy storage system: Environmental hotspots and sustainability options based on experimental insights. Journal of Energy Storage. 132. 117705–117705. 2 indexed citations
2.
Ott, J., David S. Meier, Brian Svoboda, et al.. (2024). Turbulent Pressure Heats Gas and Suppresses Star Formation in Galactic Bar Molecular Clouds. The Astrophysical Journal. 977(1). 37–37. 1 indexed citations
3.
Ginsburg, Adam, David S. Meier, J. Ott, et al.. (2023). Evidence of a Cloud–Cloud Collision from Overshooting Gas in the Galactic Center. The Astrophysical Journal. 959(2). 93–93. 5 indexed citations
4.
Henkel, C., K. M. Menten, Y. Gong, et al.. (2022). Discovery of ammonia (9,6) masers in two high-mass star-forming regions. Astronomy and Astrophysics. 659. A5–A5. 3 indexed citations
5.
Henkel, C., K. M. Menten, Y. Gong, et al.. (2022). Discovery of non-metastable ammonia masers in Sagittarius B2. Astronomy and Astrophysics. 666. L15–L15. 2 indexed citations
6.
Henshaw, Jonathan D., Mark R. Krumholz, Natalie Butterfield, et al.. (2021). A wind-blown bubble in the Central Molecular Zone cloud G0.253+0.016. Monthly Notices of the Royal Astronomical Society. 509(4). 4758–4774. 10 indexed citations
7.
Wang, Y., S. Bihr, M. R. Rugel, et al.. (2020). Radio continuum emission in the northern Galactic plane: Sources and spectral indices from the THOR survey. Springer Link (Chiba Institute of Technology). 19 indexed citations
8.
Wang, Y., H. Beuther, J. D. Soler, et al.. (2020). Atomic and molecular gas properties during cloud formation. Springer Link (Chiba Institute of Technology). 10 indexed citations
9.
Espada, D., S. Verley, Rie Miura, et al.. (2019). Star Formation Efficiencies at Giant Molecular Cloud Scales in the Molecular Disk of the Elliptical Galaxy NGC 5128 (Centaurus A). The Astrophysical Journal. 887(1). 88–88. 10 indexed citations
10.
Lisenfeld, U., J. E. Hibbard, J. Ott, et al.. (2019). Star formation and gas in the minor merger UGC 10214. Astronomy and Astrophysics. 623. A154–A154. 2 indexed citations
11.
Kent, Brian R., J. Masters, C. J. Chandler, et al.. (2018). The Very Large Array Data Processing Pipeline. MPG.PuRe (Max Planck Society). 231.
12.
Anderson, L. D., Y. Wang, S. Bihr, et al.. (2017). Galactic supernova remnant candidates discovered by THOR. Astronomy and Astrophysics. 605. A58–A58. 50 indexed citations
13.
Longmore, Steven N., Ashley T. Barnes, Cara Battersby, et al.. (2016). Using young massive star clusters to understand star formation and feedback in high-redshift-like environments. Liverpool John Moores University. 1 indexed citations
14.
Ginsburg, Adam, Andrew Walsh, C. Henkel, et al.. (2015). High-mass star-forming cloud G0.38+0.04 in the Galactic center dust ridge contains H2CO and SiO masers. Astronomy and Astrophysics. 584. L7–L7. 18 indexed citations
15.
Müller, S., F. Combes, Maryvonne Gérin, et al.. (2014). An ALMA Early Science survey of molecular absorption lines toward PKS 1830−211. Springer Link (Chiba Institute of Technology). 40 indexed citations
16.
Mao, Sui Ann, J. Ott, & Ellen G. Zweibel. (2014). Wide-band Jansky Very Large Array polarization observations of M51. AAS. 223. 1 indexed citations
17.
Sjouwerman, Loránt O., Claudia Lang, & J. Ott. (2014). The Galactic Center : Feeding and Feedback in a Normal Galactic Nucleus. 31 indexed citations
18.
Leurini, S., F. Wyrowski, P. Schilke, et al.. (2010). A study of three southern high-mass star-forming regions. Springer Link (Chiba Institute of Technology). 3 indexed citations
19.
Vorobyov, Eduard I., U. Klein, Yu. A. Shchekinov, & J. Ott. (2004). Numerical simulations of expanding supershells in dwarf irregular galaxies. Springer Link (Chiba Institute of Technology). 12 indexed citations
20.
Brinks, E., Fabian Walter, & J. Ott. (2002). Bloated Dwarfs: The Thickness of the HI Disks in Irregular Galaxies. University of Hertfordshire Research Archive (University of Hertfordshire). 275. 57–60. 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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