Émille E. O. Ishida

1.7k total citations
68 papers, 913 citations indexed

About

Émille E. O. Ishida is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Émille E. O. Ishida has authored 68 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Astronomy and Astrophysics, 15 papers in Nuclear and High Energy Physics and 12 papers in Artificial Intelligence. Recurrent topics in Émille E. O. Ishida's work include Gamma-ray bursts and supernovae (36 papers), Galaxies: Formation, Evolution, Phenomena (19 papers) and Stellar, planetary, and galactic studies (16 papers). Émille E. O. Ishida is often cited by papers focused on Gamma-ray bursts and supernovae (36 papers), Galaxies: Formation, Evolution, Phenomena (19 papers) and Stellar, planetary, and galactic studies (16 papers). Émille E. O. Ishida collaborates with scholars based in France, United States and Germany. Émille E. O. Ishida's co-authors include Rafael S. de Souza, A. Krone-Martins, Joseph M. Hilbe, Andrea Ferrara, M. V. Pruzhinskaya, Ewan Cameron, Konstantin Malanchev, Michael A. Kuhn, Matthew S. Povich and Lynne A. Hillenbrand and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Supplement Series and Astronomy and Astrophysics.

In The Last Decade

Émille E. O. Ishida

62 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Émille E. O. Ishida France 19 733 190 174 124 66 68 913
Rafael S. de Souza United States 22 1.0k 1.4× 304 1.6× 229 1.3× 98 0.8× 46 0.7× 82 1.3k
ChangHoon Hahn United States 18 635 0.9× 105 0.6× 254 1.5× 94 0.8× 33 0.5× 43 752
B. Nord United States 11 680 0.9× 150 0.8× 294 1.7× 65 0.5× 40 0.6× 41 812
Jens Jasche France 23 1.3k 1.7× 390 2.1× 246 1.4× 184 1.5× 20 0.3× 55 1.4k
François Lanusse France 18 550 0.8× 80 0.4× 188 1.1× 119 1.0× 51 0.8× 38 769
B. Hoyle Germany 18 965 1.3× 98 0.5× 479 2.8× 82 0.7× 38 0.6× 35 1.2k
M. P. Hobson United Kingdom 16 706 1.0× 267 1.4× 72 0.4× 89 0.7× 20 0.3× 37 874
Maciej Bilicki Poland 24 1.4k 1.9× 392 2.1× 483 2.8× 52 0.4× 84 1.3× 83 1.5k
Sergio Rodríguez-Torres Spain 19 1.1k 1.5× 336 1.8× 421 2.4× 46 0.4× 26 0.4× 29 1.2k
J. Hartlap Germany 15 1.3k 1.8× 261 1.4× 462 2.7× 66 0.5× 18 0.3× 17 1.4k

Countries citing papers authored by Émille E. O. Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Émille E. O. Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Émille E. O. Ishida. 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 Émille E. O. Ishida. The network helps show where Émille E. O. Ishida may publish in the future.

Co-authorship network of co-authors of Émille E. O. Ishida

This figure shows the co-authorship network connecting the top 25 collaborators of Émille E. O. Ishida. A scholar is included among the top collaborators of Émille E. O. Ishida 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 Émille E. O. Ishida. Émille E. O. Ishida 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.
Pruzhinskaya, M. V., et al.. (2025). SNAD: enabling discovery in the era of big data. 6–6.
2.
Möller, A., Émille E. O. Ishida, J. Peloton, et al.. (2025). Real-time active learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker. Publications of the Astronomical Society of Australia. 42. 2 indexed citations
3.
Карпов, С., et al.. (2025). Early identification of optical tidal disruption events. Astronomy and Astrophysics. 705. A144–A144.
4.
Pruzhinskaya, M. V., et al.. (2024). Real-bogus scores for active anomaly detection. Astronomy and Computing. 51. 100919–100919.
5.
França, Fabrício Olivetti de, Konstantin Malanchev, Bogdan Burlacu, et al.. (2024). Multiview Symbolic Regression. Proceedings of the Genetic and Evolutionary Computation Conference. 961–970. 2 indexed citations
6.
Pessi, P. J., Rupesh Durgesh, Émille E. O. Ishida, et al.. (2024). ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients. Astronomy and Astrophysics. 691. A181–A181. 2 indexed citations
7.
Pruzhinskaya, M. V., Émille E. O. Ishida, A. Volnova, et al.. (2023). Supernova search with active learning in ZTF DR3. Astronomy and Astrophysics. 672. A111–A111. 6 indexed citations
8.
Ishida, Émille E. O., J. Peloton, A. Möller, et al.. (2023). Enabling the discovery of fast transients. Astronomy and Astrophysics. 677. A77–A77. 10 indexed citations
9.
Kuhn, Michael A., et al.. (2023). Repeating Outbursts from the Young Stellar Object Gaia23bab (=SPICY 97589). Research Notes of the AAS. 7(3). 57–57. 4 indexed citations
10.
Volnova, A., P. Aleo, É. Gangler, et al.. (2023). The Most Interesting Anomalies Discovered in ZTF DR17 from the SNAD-VI Workshop. Research Notes of the AAS. 7(7). 155–155. 2 indexed citations
11.
Souza, Rafael S. de, et al.. (2022). How Have Astronomers Cited Other Fields in the Last Decade?. Research Notes of the AAS. 6(6). 113–113. 1 indexed citations
12.
Kuhn, Michael A., Matthew S. Povich, Rafael S. de Souza, et al.. (2022). Spectroscopic Confirmation of a Population of Isolated, Intermediate-mass Young Stellar Objects. The Astronomical Journal. 165(1). 3–3. 7 indexed citations
13.
Pruzhinskaya, M. V., A. Volnova, Konstantin Malanchev, et al.. (2022). Could SNAD160 be a Pair-instability Supernova?. Research Notes of the AAS. 6(6). 122–122.
14.
Kuhn, Michael A., Robert A. Benjamin, Catherine Zucker, et al.. (2021). A high pitch angle structure in the Sagittarius Arm. Astronomy and Astrophysics. 651. L10–L10. 28 indexed citations
15.
Kuhn, Michael A., Rafael S. de Souza, A. Krone-Martins, et al.. (2021). SPICY: The Spitzer/IRAC Candidate YSO Catalog for the Inner Galactic Midplane. The Astrophysical Journal Supplement Series. 254(2). 33–33. 63 indexed citations
16.
Souza, Rafael S. de, Émille E. O. Ishida, Alex I. Malz, et al.. (2019). Stress testing the dark energy equation of state imprint on supernova data. Physical review. D. 99(12). 8 indexed citations
17.
Boucaud, A., Caroline Heneka, Émille E. O. Ishida, et al.. (2019). Photometry of high-redshift blended galaxies using deep learning. Monthly Notices of the Royal Astronomical Society. 491(2). 2481–2495. 40 indexed citations
18.
Ishida, Émille E. O., Michele Sasdelli, Ricardo Vilalta, et al.. (2016). Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. Proceedings of the International Astronomical Union. 12(S325). 247–252. 2 indexed citations
19.
Pruzhinskaya, M. V., P. Rosnet, P.-F. Léget, et al.. (2016). The influence of host galaxy morphology on the properties of Type Ia supernovae from the JLA compilation. New Astronomy. 51. 43–50. 7 indexed citations
20.
Sasdelli, Michele, W. Hillebrandt, M. Kromer, et al.. (2016). A metric space for Type Ia supernova spectra: a new method to assess explosion scenarios. Monthly Notices of the Royal Astronomical Society. 466(4). 3784–3809. 5 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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