Sebastian Bruch

57 total papers · 511 total citations
18 papers, 192 citations indexed

About

Sebastian Bruch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sebastian Bruch has authored 18 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Sebastian Bruch's work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Sebastian Bruch is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Sebastian Bruch collaborates with scholars based in Italy, United States and Denmark. Sebastian Bruch's co-authors include Michael Bendersky, Marc Najork, Xuanhui Wang, Franco Maria Nardini, Masrour Zoghi, Shuguang Han, Claudio Lucchese, Amir Ingber, Maria Maistro and Rossano Venturini and has published in prestigious journals such as ACM Transactions on Information Systems, ACM SIGIR Forum and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Sebastian Bruch

16 papers receiving 186 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sebastian Bruch	124	72	62	22	21	18	192
Sarah Zelikovitz	225 1.8×	45 0.6×	87 1.4×	17 0.8×	6 0.3×	21	272
Lingyun Song	154 1.2×	119 1.7×	28 0.5×	16 0.7×	17 0.8×	24	250
Changsung Kang	170 1.4×	45 0.6×	125 2.0×	28 1.3×	26 1.2×	15	235
Felice Antonio Merra	188 1.5×	87 1.2×	147 2.4×	21 1.0×	41 2.0×	18	263
Huafeng Liu	151 1.2×	83 1.2×	101 1.6×	10 0.5×	18 0.9×	28	238
Wu-Jun Li	137 1.1×	66 0.9×	122 2.0×	17 0.8×	16 0.8×	12	219
Rama Kumar Pasumarthi	130 1.0×	99 1.4×	49 0.8×	11 0.5×	13 0.6×	14	202
Alexey Borisov	106 0.9×	64 0.9×	128 2.1×	9 0.4×	30 1.4×	17	227
Yongjun Chen	197 1.6×	74 1.0×	209 3.4×	11 0.5×	47 2.2×	14	283
Yi Huang	128 1.0×	40 0.6×	62 1.0×	42 1.9×	18 0.9×	14	217

Countries citing papers authored by Sebastian Bruch

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Bruch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Bruch

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

All Works

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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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