Nicholas M. Ball

1.2k total citations
9 papers, 461 citations indexed

About

Nicholas M. Ball is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, Nicholas M. Ball has authored 9 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 2 papers in Ecology. Recurrent topics in Nicholas M. Ball's work include Gamma-ray bursts and supernovae (4 papers), Astronomy and Astrophysical Research (4 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Nicholas M. Ball is often cited by papers focused on Gamma-ray bursts and supernovae (4 papers), Astronomy and Astrophysical Research (4 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Nicholas M. Ball collaborates with scholars based in United States, Canada and United Kingdom. Nicholas M. Ball's co-authors include Robert J. Brunner, David Tcheng, Adam D. Myers, Natalie E. Strand, Stacey Alberts, Róbert Brunner, J. Loveday, Osamu Nakamura, Sadanori Okamura and J. Brinkmann and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and International Journal of Modern Physics D.

In The Last Decade

Nicholas M. Ball

8 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas M. Ball United States	6	297	113	98	95	72	9	461
S. Cavuoti Italy	18	569 1.9×	271 2.4×	166 1.7×	50 0.5×	57 0.8×	45	722
M. Brescia Italy	19	593 2.0×	312 2.8×	177 1.8×	61 0.6×	67 0.9×	77	840
Kai Polsterer Germany	11	206 0.7×	58 0.5×	48 0.5×	45 0.5×	41 0.6×	36	317
Markus Michael Rau United States	12	222 0.7×	80 0.7×	46 0.5×	76 0.8×	31 0.4×	28	342
J. Brinkmann United States	9	707 2.4×	253 2.2×	66 0.7×	22 0.2×	34 0.5×	12	780
Dalya Baron Israel	14	448 1.5×	139 1.2×	18 0.2×	66 0.7×	27 0.4×	23	607
Sandor Kruk United Kingdom	19	739 2.5×	390 3.5×	98 1.0×	48 0.5×	119 1.7×	39	899
Karim Pichara Chile	13	321 1.1×	113 1.0×	13 0.1×	83 0.9×	31 0.4×	28	506
Kevin Casteels United Kingdom	7	707 2.4×	426 3.8×	90 0.9×	41 0.4×	147 2.0×	15	850
Christopher Bonnett Spain	7	294 1.0×	157 1.4×	41 0.4×	44 0.5×	30 0.4×	8	341

Countries citing papers authored by Nicholas M. Ball

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas M. Ball

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas M. Ball

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas M. Ball. A scholar is included among the top collaborators of Nicholas M. Ball 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 M. Ball. Nicholas M. Ball 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

Raichoor, Anand, S. Mei, T. Erben, et al.. (2015). The Next Generation Virgo Cluster Survey. XV. The photometric estimation for background sources. Saint Mary's University Institutional Repository (Saint Mary's University). 14 indexed citations

Ball, Nicholas M.. (2013). CANFAR + Skytree: Mining Massive Datasets as an Essential Part of the Future of Astronomy. AAS. 221. 1 indexed citations

Ball, Nicholas M.. (2013). CANFAR+Skytree: A Cloud Computing and Data Mining System for Astronomy. arXiv (Cornell University). 475. 311. 1 indexed citations

Ball, Nicholas M.. (2012). Astroinformatics, Cloud Computing, and New Science at the Canadian Astronomy Data Centre. 219.

Ball, Nicholas M. & Robert J. Brunner. (2010). DATA MINING AND MACHINE LEARNING IN ASTRONOMY. International Journal of Modern Physics D. 19(7). 1049–1106. 212 indexed citations

Ball, Nicholas M., Robert J. Brunner, Adam D. Myers, et al.. (2008). Robust Machine Learning Applied to Astronomical Data Sets. III. Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS andGALEX. The Astrophysical Journal. 683(1). 12–21. 56 indexed citations

Ball, Nicholas M., Robert J. Brunner, Adam D. Myers, et al.. (2007). Robust Machine Learning Applied to Astronomical Data Sets. II. Quantifying Photometric Redshifts for Quasars Using Instance‐based Learning. The Astrophysical Journal. 663(2). 774–780. 36 indexed citations

Ball, Nicholas M., Robert J. Brunner, Adam D. Myers, & David Tcheng. (2006). Robust Machine Learning Applied to Astronomical Data Sets. I. Star‐Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees. The Astrophysical Journal. 650(1). 497–509. 58 indexed citations

Ball, Nicholas M., J. Loveday, Osamu Nakamura, et al.. (2004). Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks. Monthly Notices of the Royal Astronomical Society. 348(3). 1038–1046. 83 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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