Martin Pfeifle

57 total papers · 1.3k total citations
29 papers, 546 citations indexed

About

Martin Pfeifle is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Martin Pfeifle has authored 29 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Martin Pfeifle's work include Data Management and Algorithms (25 papers), Advanced Clustering Algorithms Research (8 papers) and Data Mining Algorithms and Applications (7 papers). Martin Pfeifle is often cited by papers focused on Data Management and Algorithms (25 papers), Advanced Clustering Algorithms Research (8 papers) and Data Mining Algorithms and Applications (7 papers). Martin Pfeifle collaborates with scholars based in Germany and South Korea. Martin Pfeifle's co-authors include Hans‐Peter Kriegel, H.-P. Kriegel, Peer Kröger, Matthias Schubert, Thomas Seidl, Peter Kunath, Matthias Renz, Stefan Schönauer, Hans‐Hermann Bock and Karin Kailing and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Martin Pfeifle

28 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
Martin Pfeifle	308	296	149	139	101	29	546
Xujun Zhao	233 0.8×	106 0.4×	60 0.4×	97 0.7×	59 0.6×	33	470
Suhrid Balakrishnan	228 0.7×	200 0.7×	260 1.7×	84 0.6×	57 0.6×	18	551
Mary Inaba	193 0.6×	101 0.3×	75 0.5×	133 1.0×	215 2.1×	28	528
Chao Liu	191 0.6×	114 0.4×	168 1.1×	89 0.6×	242 2.4×	61	594
Teng Zhang	213 0.7×	85 0.3×	39 0.3×	120 0.9×	79 0.8×	47	501
Jun He	243 0.8×	46 0.2×	210 1.4×	131 0.9×	53 0.5×	47	538
Fabian Moerchen	290 0.9×	221 0.7×	193 1.3×	104 0.7×	101 1.0×	26	589
Leslie F. Sikos	294 1.0×	177 0.6×	207 1.4×	112 0.8×	243 2.4×	38	583
Kanishka Bhaduri	364 1.2×	119 0.4×	129 0.9×	48 0.3×	220 2.2×	29	593
John Gerth	148 0.5×	133 0.4×	142 1.0×	206 1.5×	173 1.7×	18	520

Countries citing papers authored by Martin Pfeifle

Since Specialization

Citations

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

Fields of papers citing papers by Martin Pfeifle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pfeifle

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