Martin Aumüller

59 total papers · 702 total citations
15 papers, 184 citations indexed

About

Martin Aumüller is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Martin Aumüller has authored 15 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Martin Aumüller's work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Data Management and Algorithms (4 papers). Martin Aumüller is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Data Management and Algorithms (4 papers). Martin Aumüller collaborates with scholars based in Denmark, Italy and United States. Martin Aumüller's co-authors include Alexander Faithfull, Martin Dietzfelbinger, Rasmus Pagh, Sepideh Mahabadi, Philipp Woelfel, Francesco Silvestri, Sariel Har-Peled, Francesco Silvestri, Naoko Nitta and Hady W. Lauw and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM SIGMOD Record.

In The Last Decade

Martin Aumüller

13 papers receiving 172 citations

Author Peers

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

Author						Papers	Cites
Martin Aumüller	95	83	64	31	17	15	184
Yury Lifshits	75 0.8×	85 1.0×	44 0.7×	30 1.0×	13 0.8×	10	140
Jiajun Liu	166 1.7×	81 1.0×	20 0.3×	16 0.5×	11 0.6×	18	243
Luisa Micó	119 1.3×	115 1.4×	98 1.5×	14 0.5×	25 1.5×	16	218
Christel Vrain	28 0.3×	95 1.1×	40 0.6×	17 0.5×	27 1.6×	20	182
G. Phanendra Babu	116 1.2×	184 2.2×	42 0.7×	12 0.4×	27 1.6×	13	291
Yves Chiaramella	42 0.4×	128 1.5×	54 0.8×	35 1.1×	64 3.8×	20	191
Thijs Laarhoven	119 1.3×	142 1.7×	22 0.3×	32 1.0×	26 1.5×	13	234
Miquel Ferrer	139 1.5×	109 1.3×	48 0.8×	22 0.7×	16 0.9×	18	190
Ranjeet Kumar Ranjan	28 0.3×	130 1.6×	37 0.6×	48 1.5×	26 1.5×	18	228
Han Xiao	41 0.4×	157 1.9×	22 0.3×	16 0.5×	23 1.4×	14	244

Countries citing papers authored by Martin Aumüller

Since Specialization

Citations

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

Fields of papers citing papers by Martin Aumüller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Aumüller

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