Sebastian Bruch

550 total citations
18 papers, 195 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 195 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), Machine Learning and Algorithms (4 papers) and Topic Modeling (4 papers). Sebastian Bruch is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Machine Learning and Algorithms (4 papers) and Topic Modeling (4 papers). Sebastian Bruch collaborates with scholars based in Italy, United States and Australia. 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 Jan Pfeifer 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 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Bruch Italy	7	126	72	63	23	22	18	195
Hiroaki Ohshima Japan	8	104 0.8×	33 0.5×	104 1.7×	11 0.5×	28 1.3×	50	219
Chenyi Lei China	9	175 1.4×	103 1.4×	181 2.9×	28 1.2×	11 0.5×	18	266
Felice Antonio Merra Italy	8	191 1.5×	87 1.2×	149 2.4×	41 1.8×	21 1.0×	19	266
Sheng Zhou China	9	141 1.1×	46 0.6×	63 1.0×	23 1.0×	11 0.5×	24	195
Wu-Jun Li China	5	135 1.1×	66 0.9×	123 2.0×	17 0.7×	17 0.8×	12	220
Kangyi Lin China	6	160 1.3×	57 0.8×	158 2.5×	26 1.1×	11 0.5×	9	207
Rama Kumar Pasumarthi United States	7	132 1.0×	100 1.4×	50 0.8×	13 0.6×	11 0.5×	14	205
Shijun Li China	7	166 1.3×	60 0.8×	201 3.2×	87 3.8×	14 0.6×	22	296
Sarah Zelikovitz United States	8	225 1.8×	45 0.6×	86 1.4×	6 0.3×	17 0.8×	21	272
Thibaut Thonet France	4	90 0.7×	66 0.9×	23 0.4×	11 0.5×	14 0.6×	7	174

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

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Bruch, Sebastian, Maik Fröbe, Thomas Hagen, Franco Maria Nardini, & Martin Potthast. (2025). ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. ISTI Open Portal. 4153–4156. 1 indexed citations

Bruch, Sebastian, Claudio Lucchese, Maria Maistro, & Franco Maria Nardini. (2024). Special Section on Efficiency in Neural Information Retrieval. ACM Transactions on Information Systems. 42(5). 1–4.

Bruch, Sebastian. (2024). Foundations of Vector Retrieval. 8 indexed citations

Lucchese, Claudio, et al.. (2024). A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. arXiv (Cornell University). 2261–2265. 1 indexed citations

Bruch, Sebastian, et al.. (2024). Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. arXiv (Cornell University). 3642–3646. 2 indexed citations

Bruch, Sebastian, Franco Maria Nardini, Amir Ingber, & Edo Liberty. (2024). Bridging Dense and Sparse Maximum Inner Product Search. ACM Transactions on Information Systems. 42(6). 1–38. 1 indexed citations

Bruch, Sebastian, Franco Maria Nardini, Amir Ingber, & Edo Liberty. (2023). An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. ACM Transactions on Information Systems. 42(2). 1–43. 2 indexed citations

Bruch, Sebastian, Claudio Lucchese, & Franco Maria Nardini. (2023). Efficient and Effective Tree-based and Neural Learning to Rank. arXiv (Cornell University). 17(1). 1–123. 9 indexed citations

Bruch, Sebastian, Joel Mackenzie, Maria Maistro, & Franco Maria Nardini. (2023). ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. Research at the University of Copenhagen (University of Copenhagen). 3456–3459. 4 indexed citations

10.

Bruch, Sebastian, et al.. (2023). Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. 4068–4077. 3 indexed citations

11.

Bruch, Sebastian, et al.. (2023). An Analysis of Fusion Functions for Hybrid Retrieval. ACM Transactions on Information Systems. 42(1). 1–35. 12 indexed citations

12.

Bruch, Sebastian, Claudio Lucchese, & Franco Maria Nardini. (2022). ReNeuIR: Reaching Efficiency in Neural Information Retrieval. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 3462–3465. 9 indexed citations

13.

Bruch, Sebastian, Claudio Lucchese, & Franco Maria Nardini. (2022). Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. ACM SIGIR Forum. 56(2). 1–14. 4 indexed citations

14.

Bruch, Sebastian, Shuguang Han, Michael Bendersky, & Marc Najork. (2020). A Stochastic Treatment of Learning to Rank Scoring Functions. 61–69. 36 indexed citations

15.

Pasumarthi, Rama Kumar, Sebastian Bruch, Michael Bendersky, & Xuanhui Wang. (2019). Neural Learning to Rank using TensorFlow Ranking. 253–254. 1 indexed citations

16.

Bruch, Sebastian, Xuanhui Wang, Michael Bendersky, & Marc Najork. (2019). An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. 75–78. 58 indexed citations

17.

Lucchese, Claudio, Franco Maria Nardini, Rama Kumar Pasumarthi, et al.. (2019). Learning to Rank in Theory and Practice. UvA-DARE (University of Amsterdam). 1419–1420. 6 indexed citations

18.

Bruch, Sebastian, Masrour Zoghi, Michael Bendersky, & Marc Najork. (2019). Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. 1241–1244. 38 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.

Explore authors with similar magnitude of impact