Otto J. Anshus

567 total citations
48 papers, 236 citations indexed

About

Otto J. Anshus is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Otto J. Anshus has authored 48 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 20 papers in Hardware and Architecture and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Otto J. Anshus's work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (12 papers) and Distributed and Parallel Computing Systems (10 papers). Otto J. Anshus is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (12 papers) and Distributed and Parallel Computing Systems (10 papers). Otto J. Anshus collaborates with scholars based in Norway, United States and Denmark. Otto J. Anshus's co-authors include Craig C. Douglas, Jan Edler, James Philbin, Kai Li, Phuong Hoai Ha, Thomas Plagemann, Vera Goebel, Pål Halvorsen, Brian Vinter and Philippas Tsigas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Parallel and Distributed Systems and IEEE Computer Graphics and Applications.

In The Last Decade

Otto J. Anshus

39 papers receiving 216 citations

Peers

Otto J. Anshus
Comparison fields: 5 of 36
  • Computer Networks and Communications 150
  • Hardware and Architecture 112
  • Computer Vision and Pattern Recognition 59
  • Human-Computer Interaction 32
  • Electrical and Electronic Engineering 29
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Citations per field, relative to Otto J. Anshus
Otto J. Anshus · 1×
Citations per year, relative to Otto J. Anshus
Otto J. Anshus · 1×

Countries citing papers authored by Otto J. Anshus

Since Specialization
Citations

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

Fields of papers citing papers by Otto J. Anshus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Otto J. Anshus. 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 Otto J. Anshus. The network helps show where Otto J. Anshus may publish in the future.

Co-authorship network of co-authors of Otto J. Anshus

This figure shows the co-authorship network connecting the top 25 collaborators of Otto J. Anshus. A scholar is included among the top collaborators of Otto J. Anshus 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 Otto J. Anshus. Otto J. Anshus 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
# Work Indexed citations
1 0
2 1
3 3
4 4
5 6
6 5
7 2
8 2
9 3
10 6
11
PyCSP - Communicating Sequential Processes for Python.
3
12 2
13
Lessons Learned Using a Camera Cluster to Detect and Locate Objects.
3
14 4
15 3
16 34
17
A Comparison of Three MPI Implementations
4
18 1
19
Data Distribution Models for a Structured Distributed Shared Memory System.
1
20 5

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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