Philipp Lindenberger

14 total papers · 869 total citations
4 papers, 368 citations indexed

About

Philipp Lindenberger is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Philipp Lindenberger has authored 4 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Computational Mechanics and 1 paper in Artificial Intelligence. Recurrent topics in Philipp Lindenberger's work include Advanced Vision and Imaging (3 papers), Advanced Graph Neural Networks (1 paper) and Image Processing Techniques and Applications (1 paper). Philipp Lindenberger is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced Graph Neural Networks (1 paper) and Image Processing Techniques and Applications (1 paper). Philipp Lindenberger collaborates with scholars based in Switzerland, United States and Czechia. Philipp Lindenberger's co-authors include Marc Pollefeys, Paul-Edouard Sarlin, Viktor Larsson, Grzegorz Kwaśniewski, Onur Mutlu, Lukas Gianinazzi, Torsten Hoefler and Maciej Besta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the VLDB Endowment and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Philipp Lindenberger

4 papers receiving 359 citations

Hit Papers

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Author Peers

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

Author						Papers	Cites
Philipp Lindenberger	279	197	54	33	26	4	368
Dmytro Mishkin	277 1.0×	159 0.8×	29 0.5×	76 2.3×	27 1.0×	9	418
Bin Xu	408 1.5×	199 1.0×	25 0.5×	31 0.9×	36 1.4×	10	442
Denis Chekhlov	328 1.2×	278 1.4×	93 1.7×	24 0.7×	17 0.7×	8	431
M. Zuliani	284 1.0×	146 0.7×	33 0.6×	40 1.2×	23 0.9×	10	345
Iaroslav Melekhov	313 1.1×	163 0.8×	40 0.7×	70 2.1×	37 1.4×	7	445
Timo Pylvänäinen	318 1.1×	286 1.5×	56 1.0×	37 1.1×	25 1.0×	6	443
P. Whaite	312 1.1×	210 1.1×	52 1.0×	52 1.6×	17 0.7×	11	414
Minh-Tri Pham	320 1.1×	124 0.6×	36 0.7×	54 1.6×	26 1.0×	15	390
Y. Yakimovsky	289 1.0×	125 0.6×	32 0.6×	31 0.9×	52 2.0×	11	382
Lukas Schmid	261 0.9×	206 1.0×	24 0.4×	40 1.2×	23 0.9×	11	405

Countries citing papers authored by Philipp Lindenberger

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Lindenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Lindenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Lindenberger. A scholar is included among the top collaborators of Philipp Lindenberger 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 Philipp Lindenberger. Philipp Lindenberger 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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