D. A. Rafferty

10.4k total citations
47 papers, 1.9k citations indexed

About

D. A. Rafferty is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Anthropology. According to data from OpenAlex, D. A. Rafferty has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Astronomy and Astrophysics, 24 papers in Nuclear and High Energy Physics and 3 papers in Anthropology. Recurrent topics in D. A. Rafferty's work include Galaxies: Formation, Evolution, Phenomena (36 papers), Astrophysics and Cosmic Phenomena (24 papers) and Astrophysical Phenomena and Observations (20 papers). D. A. Rafferty is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (36 papers), Astrophysics and Cosmic Phenomena (24 papers) and Astrophysical Phenomena and Observations (20 papers). D. A. Rafferty collaborates with scholars based in Netherlands, United States and Germany. D. A. Rafferty's co-authors include P. E. J. Nulsen, B. R. McNamara, M. W. Wise, L. Bırzan, C. L. Carilli, Niruj R. Mohan, H. J. A. Röttgering, E. L. Blanton, Craig L. Sarazin and M. Brüggen and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

D. A. Rafferty

45 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Rafferty Netherlands 23 1.8k 839 287 55 35 47 1.9k
W. L. Williams Netherlands 21 1.2k 0.7× 824 1.0× 173 0.6× 50 0.9× 32 0.9× 62 1.3k
Fabio Pacucci United States 24 1.6k 0.9× 496 0.6× 406 1.4× 24 0.4× 28 0.8× 61 1.6k
M. Villar-Martı́n Spain 26 1.9k 1.1× 586 0.7× 506 1.8× 21 0.4× 23 0.7× 99 2.0k
D. J. Saikia India 26 2.1k 1.2× 1.4k 1.7× 187 0.7× 44 0.8× 20 0.6× 167 2.2k
S. Giacintucci United States 29 2.5k 1.4× 1.4k 1.7× 366 1.3× 37 0.7× 40 1.1× 103 2.5k
Christopher L. Carilli United States 23 1.5k 0.8× 495 0.6× 248 0.9× 126 2.3× 54 1.5× 43 1.5k
Mateusz Ruszkowski United States 29 2.0k 1.1× 773 0.9× 199 0.7× 16 0.3× 18 0.5× 57 2.1k
B. Vollmer France 28 2.4k 1.3× 459 0.5× 690 2.4× 20 0.4× 25 0.7× 84 2.5k
John A. Regan Ireland 20 1.5k 0.8× 409 0.5× 305 1.1× 28 0.5× 28 0.8× 45 1.6k
E. Middelberg Australia 23 1.4k 0.7× 794 0.9× 177 0.6× 66 1.2× 20 0.6× 47 1.4k

Countries citing papers authored by D. A. Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Rafferty. 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 D. A. Rafferty. The network helps show where D. A. Rafferty may publish in the future.

Co-authorship network of co-authors of D. A. Rafferty

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Rafferty. A scholar is included among the top collaborators of D. A. Rafferty 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 D. A. Rafferty. D. A. Rafferty 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.
Rafferty, D. A.. (2021). Rural voters in Roman elections. 151(1). 127–153. 3 indexed citations
2.
Gasperin, F. de, M. Brüggen, R. J. van Weeren, et al.. (2020). Reaching thermal noise at ultra-low radio frequencies Toothbrush radio relic downstream of the shock front. arXiv (Cornell University). 25 indexed citations
3.
Gasperin, F. de, G. Brunetti, M. Brüggen, et al.. (2020). Reaching thermal noise at ultra-low radio frequencies. Astronomy and Astrophysics. 642. A85–A85. 7 indexed citations
4.
Mandal, S., H. T. Intema, T. W. Shimwell, et al.. (2019). Ultra-steep spectrum emission in the merging galaxy cluster Abell 1914. Springer Link (Chiba Institute of Technology). 16 indexed citations
5.
Shulevski, A., P. D. Barthel, R. Morganti, et al.. (2019). Open Research Online (The Open University). 9 indexed citations
6.
Wilber, A., M. Brüggen, A. Bonafede, et al.. (2019). Evolutionary phases of merging clusters as seen by LOFAR. Springer Link (Chiba Institute of Technology). 16 indexed citations
7.
Hoang, D. N., T. W. Shimwell, R. J. van Weeren, et al.. (2018). Radio observations of the merging galaxy cluster Abell 520. Astronomy and Astrophysics. 622. A20–A20. 31 indexed citations
8.
Wilber, A., M. Brüggen, A. Bonafede, et al.. (2018). Search for low-frequency diffuse radio emission around a shock in the massive galaxy cluster MACS J0744.9+3927. Monthly Notices of the Royal Astronomical Society. 476(3). 3415–3424. 10 indexed citations
9.
Gasperin, F. de, Tammo Jan Dijkema, A. Drabent, et al.. (2018). Systematic effects in LOFAR data: A unified calibration strategy. Astronomy and Astrophysics. 622. A5–A5. 109 indexed citations
10.
Gasperin, F. de, M. Mevius, D. A. Rafferty, H. T. Intema, & R. A. Fallows. (2018). The effect of the ionosphere on ultra-low-frequency radio-interferometric observations. Astronomy and Astrophysics. 615. A179–A179. 39 indexed citations
11.
Bonafede, A., M. Brüggen, D. A. Rafferty, et al.. (2018). LOFAR discoveryof radio emission in MACS J0717.5+3745. Monthly Notices of the Royal Astronomical Society. 478(3). 2927–2938. 27 indexed citations
12.
Mohan, Niruj R. & D. A. Rafferty. (2015). PyBDSF: Python Blob Detection and Source Finder. Astrophysics Source Code Library. 78 indexed citations
13.
Rafferty, D. A., L. Bırzan, P. E. J. Nulsen, et al.. (2012). A deep Chandra observation of the active galactic nucleus outburst and merger in Hickson compact group 62. Monthly Notices of the Royal Astronomical Society. 428(1). 58–70. 19 indexed citations
14.
Luo, Bin, W. N. Brandt, Yongquan Xue, et al.. (2011). REVEALING A POPULATION OF HEAVILY OBSCURED ACTIVE GALACTIC NUCLEI ATz≈ 0.5-1 IN THE CHANDRA DEEP FIELD-SOUTH. The Astrophysical Journal. 740(1). 37–37. 25 indexed citations
15.
Rafferty, D. A., W. N. Brandt, D. M. Alexander, et al.. (2011). SUPERMASSIVE BLACK HOLE GROWTH IN STARBURST GALAXIES OVER COSMIC TIME: CONSTRAINTS FROM THE DEEPESTCHANDRAFIELDS. The Astrophysical Journal. 742(1). 3–3. 58 indexed citations
16.
Kiiveri, K., B. R. McNamara, D. A. Rafferty, et al.. (2009). ACHANDRAX-RAY ANALYSIS OF ABELL 1664: COOLING, FEEDBACK, AND STAR FORMATION IN THE CENTRAL CLUSTER GALAXY. The Astrophysical Journal. 697(1). 867–879. 23 indexed citations
17.
Voit, G. Mark, K. W. Cavagnolo, Megan Donahue, et al.. (2008). Conduction and the Star Formation Threshold in Brightest Cluster Galaxies. The Astrophysical Journal. 681(1). L5–L8. 50 indexed citations
18.
Diehl, Steven, Hui Li, Chris L. Fryer, & D. A. Rafferty. (2008). Constraining the Nature of X‐Ray Cavities in Clusters and Galaxies. The Astrophysical Journal. 687(1). 173–192. 52 indexed citations
19.
Levan, A. J., N. R. Tanvir, A. S. Fruchter, et al.. (2006). The Faint Afterglow and Host Galaxy of the Short-Hard GRB 060121. The Astrophysical Journal. 648(1). L9–L12. 31 indexed citations
20.
McNamara, B. R., P. E. J. Nulsen, M. W. Wise, et al.. (2005). The heating of gas in a galaxy cluster by X-ray cavities and large-scale shock fronts. Nature. 433(7021). 45–47. 260 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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