M. Kara

1.1k total citations
2 papers, 5 citations indexed

About

M. Kara is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, M. Kara has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Astronomy and Astrophysics, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in M. Kara's work include Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). M. Kara is often cited by papers focused on Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). M. Kara collaborates with scholars based in United States, Russia and Germany. M. Kara's co-authors include Johan Comparat, J. Vasel, M. Brüggen, C. Garrel, J. Weller, E. Artis, Esra Bülbül, J. Migenda, C. Tunnell and S. BenZvi and has published in prestigious journals such as Astronomy and Astrophysics and Journal of Instrumentation.

In The Last Decade

M. Kara

2 papers receiving 5 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Kara United States	2	3	2	1	1	1	2	5
Andrew West United States	2	3 1.0×	2 1.0×				2	4
N. Poonthottathil India	2	3 1.0×	2 1.0×				5	5
S. Nozaki Italy	1	3 1.0×	2 1.0×				2	3
N. Dagoneau France	2	3 1.0×	2 1.0×				3	3
Meiling Deng Canada	2	4 1.3×	2 1.0×			1 1.0×	2	4
M. Tabbutt United States	2	4 1.3×	2 1.0×	1 1.0×			2	4
A. Ćwiek Poland	2	3 1.0×	2 1.0×				5	4
J. I. Djuvsland Norway	1	2 0.7×	3 1.5×				2	3
E. Sandford United Kingdom	2	2 0.7×	3 1.5×				3	5
S. Celli Italy	1	2 0.7×	3 1.5×				3	3

Countries citing papers authored by M. Kara

Since Specialization

Citations

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

Fields of papers citing papers by M. Kara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kara

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kara. A scholar is included among the top collaborators of M. Kara 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 M. Kara. M. Kara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Kara, M., A. Baxter, S. BenZvi, et al.. (2024). The SNEWS 2.0 alert software for the coincident detection of neutrinos from core-collapse supernovae. Journal of Instrumentation. 19(10). P10017–P10017. 1 indexed citations

2.

Krippendorf, Sven, Esra Bülbül, M. Kara, et al.. (2023). The eROSITA Final Equatorial-Depth Survey (eFEDS): A machine learning approach to inferring galaxy cluster masses from eROSITA X-ray images. Astronomy and Astrophysics. 682. A132–A132. 4 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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