Nicholas P. Ross

32.4k total citations · 1 hit paper
66 papers, 4.0k citations indexed

About

Nicholas P. Ross is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Nicholas P. Ross has authored 66 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Astronomy and Astrophysics, 25 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Nicholas P. Ross's work include Galaxies: Formation, Evolution, Phenomena (55 papers), Gamma-ray bursts and supernovae (27 papers) and Astrophysical Phenomena and Observations (25 papers). Nicholas P. Ross is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (55 papers), Gamma-ray bursts and supernovae (27 papers) and Astrophysical Phenomena and Observations (25 papers). Nicholas P. Ross collaborates with scholars based in United States, United Kingdom and Germany. Nicholas P. Ross's co-authors include Donald P. Schneider, Gordon T. Richards, Adam D. Myers, Michael A. Strauss, David A. Wake, Kevin A. Pimbblet, R. C. Nichol, T. Shanks, S. M. Croom and Isabelle Pâris and has published in prestigious journals such as The Astrophysical Journal, PLANT PHYSIOLOGY and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Nicholas P. Ross

65 papers receiving 3.8k citations

Hit Papers

The bolometric quasar luminosity function at z = 0–7 2020 2026 2022 2024 2020 50 100 150 200

Peers

Nicholas P. Ross
B. McLean United States
Suzanne L. Hawley United States
J. E. Geach United Kingdom
Nicholas P. Ross
Citations per year, relative to Nicholas P. Ross Nicholas P. Ross (= 1×) peers Bram Venemans

Countries citing papers authored by Nicholas P. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas P. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas P. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas P. Ross. A scholar is included among the top collaborators of Nicholas P. Ross 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 P. Ross. Nicholas P. Ross 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.
Lowe, David J., Vicki G. Moon, Richard Johnston, et al.. (2023). Seismically-induced down-sagging structures in tephra layers (tephra-seismites) preserved in lakes since 17.5 cal ka, Hamilton lowlands, New Zealand. Sedimentary Geology. 445. 106327–106327. 7 indexed citations
2.
Paffenholz, Thania, et al.. (2023). Toward a Third Local Turn: Identifying and Addressing Obstacles to Localization in Peacebuilding. Negotiation Journal. 39(4). 349–375. 4 indexed citations
3.
Trinkenreich, Bianca, Klaas-Jan Stol, Igor Steinmacher, et al.. (2023). A Model for Understanding and Reducing Developer Burnout. 48–60. 3 indexed citations
4.
Brown, M. J. I., M. E. Cluver, T. H. Jarrett, et al.. (2021). A systematic survey for z< 0.04 CLAGNs. Monthly Notices of the Royal Astronomical Society. 503(2). 2583–2597. 5 indexed citations
5.
Brown, M. J. I., et al.. (2019). The Nearby “Changing Look” Seyfert NGC 1346. Research Notes of the AAS. 3(4). 62–62. 2 indexed citations
6.
Nicholl, M., P. Short, A. Lawrence, Nicholas P. Ross, & S. J. Smartt. (2019). C-SNAILS spectra of optical transients. 59. 1.
7.
Ford, K. E. Saavik, I. Bartos, Barry McKernan, et al.. (2019). AGN (and other) astrophysics with Gravitational Wave Events. Bulletin of the American Astronomical Society. 51(3). 247. 2 indexed citations
8.
Graham, M. J., Nicholas P. Ross, Daniel Stern, et al.. (2019). Understanding extreme quasar optical variability with CRTS – II. Changing-state quasars. Monthly Notices of the Royal Astronomical Society. 491(4). 4925–4948. 71 indexed citations
9.
LaMassa, Stephanie, A. Georgakakis, M. Vivek, et al.. (2019). SDSS-IV eBOSS Spectroscopy of X-Ray and WISE AGNs in Stripe 82X: Overview of the Demographics of X-Ray- and Mid-infrared-selected Active Galactic Nuclei. The Astrophysical Journal. 876(1). 50–50. 29 indexed citations
10.
Büchner, Johannes, A. Georgakakis, K. Nandra, et al.. (2015). OBSCURATION-DEPENDENT EVOLUTION OF ACTIVE GALACTIC NUCLEI. The Astrophysical Journal. 802(2). 89–89. 174 indexed citations
11.
Eftekharzadeh, Sarah, Adam D. Myers, Martin White, et al.. (2015). Clustering of intermediate redshift quasars using the final SDSS III-BOSS sample. Monthly Notices of the Royal Astronomical Society. 453(3). 2780–2799. 99 indexed citations
12.
Blanton, Michael R., et al.. (2014). UNUSUAL BROAD-LINE Mg II EMITTERS AMONG LUMINOUS GALAXIES IN THE BARYON OSCILLATION SPECTROSCOPIC SURVEY. The Astrophysical Journal. 781(2). 72–72. 10 indexed citations
13.
Finley, H., Patrick Petitjean, Isabelle Pâris, et al.. (2013). A glance at the host galaxy of high-redshift quasars using strong damped Lyman-αsystems as coronagraphs. Astronomy and Astrophysics. 558. A111–A111. 25 indexed citations
14.
Krawczyk, Coleman, Gordon T. Richards, Sajjan S. Mehta, et al.. (2013). MEAN SPECTRAL ENERGY DISTRIBUTIONS AND BOLOMETRIC CORRECTIONS FOR LUMINOUS QUASARS. The Astrophysical Journal Supplement Series. 206(1). 4–4. 107 indexed citations
15.
Ho, Shirley, Rupert A. C. Croft, Andreea S. Font, et al.. (2010). The Baryon Oscillation Spectroscopic Survey Lyman-alpha forest sample: Early Data and Results. 215. 1 indexed citations
16.
Fine, S., S. M. Croom, Joss Bland‐Hawthorn, et al.. (2010). The C iv linewidth distribution for quasars and its implications for broad-line region dynamics and virial mass estimation. Monthly Notices of the Royal Astronomical Society. 409(2). 591–610. 42 indexed citations
17.
Ross, Nicholas P., Yue Shen, Michael A. Strauss, et al.. (2009). CLUSTERING OF LOW-REDSHIFT (z⩽ 2.2) QUASARS FROM THE SLOAN DIGITAL SKY SURVEY. The Astrophysical Journal. 697(2). 1634–1655. 144 indexed citations
18.
Croom, S. M., Gordon T. Richards, T. Shanks, et al.. (2009). The 2dF���SDSS LRG and QSO survey: the QSO luminosity function at 0.4 <z< 2.6. Monthly Notices of the Royal Astronomical Society. 399(4). 1755–1772. 143 indexed citations
19.
Hirata, Christopher M., Rachel Mandelbaum, Mustapha Ishak, et al.. (2007). Intrinsic galaxy alignments from the 2SLAQ and SDSS surveys: luminosity and redshift scalings and implications for weak lensing surveys. Monthly Notices of the Royal Astronomical Society. 381(3). 1197–1218. 167 indexed citations
20.
Ross, Nicholas P., T. Shanks, David A. Wake, et al.. (2007). The 2dF-SDSS LRG and QSO Survey: the LRG 2-point correlation function and redshift-space distortions. Monthly Notices of the Royal Astronomical Society. 381(2). 573–588. 118 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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