J. E. Conway

26.9k total citations
88 papers, 1.4k citations indexed

About

J. E. Conway is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Spectroscopy. According to data from OpenAlex, J. E. Conway has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Astronomy and Astrophysics, 36 papers in Nuclear and High Energy Physics and 8 papers in Spectroscopy. Recurrent topics in J. E. Conway's work include Galaxies: Formation, Evolution, Phenomena (36 papers), Astrophysics and Cosmic Phenomena (35 papers) and Radio Astronomy Observations and Technology (30 papers). J. E. Conway is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (36 papers), Astrophysics and Cosmic Phenomena (35 papers) and Radio Astronomy Observations and Technology (30 papers). J. E. Conway collaborates with scholars based in Sweden, United States and United Kingdom. J. E. Conway's co-authors include R. S. Booth, A. G. Polatidis, V. Minier, P. J. Diamond, I. Martí‐Vidal, Eric S. Perlman, M. Pestalozzi, P. R. Blanco, Moshe Elitzur and Rodrigo Parra and has published in prestigious journals such as Science, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

J. E. Conway

84 papers receiving 1.3k 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. E. Conway Sweden 22 1.3k 666 161 83 55 88 1.4k
Richard Dodson Australia 23 1.2k 0.9× 553 0.8× 144 0.9× 41 0.5× 65 1.2× 94 1.3k
J. May Chile 20 1.6k 1.3× 506 0.8× 261 1.6× 91 1.1× 60 1.1× 62 1.7k
M. H. Wieringa Australia 26 2.2k 1.7× 1.0k 1.5× 71 0.4× 125 1.5× 45 0.8× 64 2.3k
Jeremy Darling United States 23 1.1k 0.8× 350 0.5× 121 0.8× 123 1.5× 111 2.0× 74 1.2k
C. Horellou Sweden 20 887 0.7× 405 0.6× 51 0.3× 149 1.8× 41 0.7× 62 943
R. D. Davies United Kingdom 16 930 0.7× 405 0.6× 46 0.3× 65 0.8× 68 1.2× 76 1.0k
Troels Haugbølle Denmark 27 1.5k 1.1× 624 0.9× 151 0.9× 54 0.7× 60 1.1× 51 1.6k
R. Kothes Canada 19 1.3k 1.0× 909 1.4× 34 0.2× 39 0.5× 26 0.5× 74 1.4k
A. Bartkiewicz Poland 17 1.6k 1.2× 286 0.4× 430 2.7× 181 2.2× 54 1.0× 55 1.6k
Z. Méliani France 22 1.4k 1.1× 752 1.1× 37 0.2× 38 0.5× 46 0.8× 68 1.5k

Countries citing papers authored by J. E. Conway

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. E. Conway

This figure shows the co-authorship network connecting the top 25 collaborators of J. E. Conway. A scholar is included among the top collaborators of J. E. Conway 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. E. Conway. J. E. Conway 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.
Beswick, R. J., J. Moldón, M. Á. Pérez-Torres, et al.. (2024). The PARADIGM project I: a multiscale radio morphological analysis of local U/LIRGS. Monthly Notices of the Royal Astronomical Society. 529(4). 4468–4499. 2 indexed citations
2.
Lundqvist, Peter, M. Á. Pérez-Torres, L. K. Morabito, et al.. (2023). Subarcsecond-resolution Imaging of M51 with the International LOFAR Telescope. The Astrophysical Journal. 953(2). 157–157. 3 indexed citations
3.
Sjöberg, Anders, M. C. Toribio, M. Olberg, et al.. (2023). Utilization of convolutional neural networks for H I source finding. Astronomy and Astrophysics. 671. A39–A39. 1 indexed citations
4.
Yang, Jun, Z. Paragi, S. Frey, et al.. (2023). Intermediate-mass black holes: finding of episodic, large-scale, and powerful jet activity in a dwarf galaxy. Monthly Notices of the Royal Astronomical Society. 520(4). 5964–5973. 12 indexed citations
5.
Meledin, Denis, Igor Lapkin, Mathias Fredrixon, et al.. (2022). SEPIA345: A 345 GHz dual polarization heterodyne receiver channel for SEPIA at the APEX telescope. Astronomy and Astrophysics. 668. A2–A2. 7 indexed citations
6.
Varenius, E., M. Á. Pérez-Torres, A. Alberdi, et al.. (2021). Sub-arcsecond LOFAR imaging of Arp 299 at 150 MHz. Astronomy and Astrophysics. 658. A4–A4. 9 indexed citations
7.
Varenius, E., F. Costagliola, H.-R. Klöckner, et al.. (2017). Atomic hydrogen bridge fueling NGC 4418 with gas from VV 655. Springer Link (Chiba Institute of Technology). 7 indexed citations
8.
Backes, Michael, Cornelia Müller, J. E. Conway, et al.. (2017). The African Millimetre Telescope. Radboud Repository (Radboud University). 29–29. 6 indexed citations
9.
Martí‐Vidal, I., A. L. Roy, J. E. Conway, & J. A. Zensus. (2016). Calibration of mixed-polarization interferometric observations Tools for the reduction of interferometric data from elements with linear and circular polarization receivers. Chalmers Publication Library (Chalmers University of Technology). 7 indexed citations
10.
Varenius, E., J. E. Conway, I. Martí‐Vidal, et al.. (2016). Subarcsecond international LOFAR radio images of Arp 220 at 150 MHz. Astronomy and Astrophysics. 593. A86–A86. 38 indexed citations
11.
Pérez-Torres, M. Á., A. Alberdi, R. Beswick, et al.. (2015). Core-collapse and Type Ia supernovae with the SKA. Proceedings Of Science. 60–60. 5 indexed citations
12.
Conway, J. E., et al.. (2012). The circumnuclear cold gas environments of the powerful radio galaxies 3C 236 and 4C 31.04. Astronomy and Astrophysics. 546. A22–A22. 19 indexed citations
13.
Pestalozzi, M., et al.. (2006). A general catalogue of 6.7 GHz methanol masers. Astronomy and Astrophysics. 463(3). 1009–1016. 12 indexed citations
14.
Feuston, Bradley P., Subhas J. Chakravorty, J. E. Conway, et al.. (2005). Web Enabling Technology for the Design, Enumeration, Optimization and Tracking of Compound Libraries. Current Topics in Medicinal Chemistry. 5(8). 773–783. 7 indexed citations
15.
Booth, R. S., et al.. (2005). SiO masers in TX Cam. Astronomy and Astrophysics. 432(2). 531–545. 27 indexed citations
16.
Vermeulen, R. C., Y. M. Pihlström, W. H. de Vries, et al.. (2003). Observations of H I absorbing gas in compact radio sources at cosmological redshifts. Astronomy and Astrophysics. 404(3). 861–870. 97 indexed citations
17.
Giroletti, M., G. Giovannini, G. B. Taylor, et al.. (2003). Lobe advance velocities in the extragalactic compact symmetric object 4C 31.04. Astronomy and Astrophysics. 399(3). 889–897. 36 indexed citations
18.
Minier, V., R. S. Booth, & J. E. Conway. (2000). VLBI observations of 6.7 and 12.2 GHz methanol masers toward high mass star-forming regions. I. Observational results: protostellar disks or outflows?. A&A. 362. 1093–1108. 1 indexed citations
19.
Carilli, C. L., K. M. Menten, Eric S. Perlman, et al.. (2000). Astronomical Constraints on the Cosmic Evolution of the Fine Structure Constant and Possible Quantum Dimensions. Physical Review Letters. 85(26). 5511–5514. 42 indexed citations
20.
Bartel, N., M. F. Bietenholz, M. P. Rupen, et al.. (1999). Expansion of Supernova 1993J. 194. 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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