Johannes Blömer

35 papers receiving 1.1k citations

Peers

Johannes Blömer
Comparison fields: 5 of 93
  • Computer Networks and Communications 594
  • Artificial Intelligence 366
  • Computer Vision and Pattern Recognition 302
  • Signal Processing 271
  • Electrical and Electronic Engineering 248
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Johannes Blömer relative to Jeff Edmonds Canada Jeff Edmonds's profile →
Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Johannes Blömer

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Blömer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Blömer

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 25
2 1
3 3
4 11
5
Simple Methods for Initializing the EM Algorithm for Gaussian Mixture Models.
18
6
Hardness and Non-Approximability of Bregman Clustering Problems.
3
7 1
8 14
9 26
10 6
11 40
12 1
13 375
14
An XOR-based erasure-resilient coding scheme
299
15 42
16 0
17
[Results of conservative and operative treatment of clavicular fractures (author's transl)].
14
18
[Choice of methods in pathologic fractures and fatigue fractures of long bones].
1
19
[The radius-head prosthesis].
2
20 1

About Johannes Blömer

Johannes Blömer is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computational Theory and Mathematics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Cryptographic Implementations and Security (5 papers) and Facility Location and Emergency Management (5 papers). The work is most often cited by research in Computer Networks and Communications (594 citations), Signal Processing (271 citations) and Computer Vision and Pattern Recognition (302 citations). Johannes Blömer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Luby, Angela A. Albanese, Jeff Edmonds, Madhu Sudan, Richard M. Karp, Marek Karpiński, David Zuckerman, Jean‐Pierre Seifert, Marcel R. Ackermann and Christian Sohler. Their work appears in journals such as IEEE Transactions on Information Theory, Theoretical Computer Science and Algorithmica.

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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