Håvard Espeland

27 total papers · 471 total citations
16 papers, 130 citations indexed

About

Håvard Espeland is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Håvard Espeland has authored 16 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Håvard Espeland's work include Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (4 papers) and Peer-to-Peer Network Technologies (3 papers). Håvard Espeland is often cited by papers focused on Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (4 papers) and Peer-to-Peer Network Technologies (3 papers). Håvard Espeland collaborates with scholars based in Norway, Sweden and China. Håvard Espeland's co-authors include Pål Halvorsen, Carsten Griwodz, Konstantin Pogorelov, Håkon Kvale Stensland, Michael A. Riegler, Thomas de Lange, Dag Johansen, Andreas Petlund, Tomáš Kupka and Pia H. Smedsrud and has published in prestigious journals such as The Journal of Supercomputing, International Journal of Semantic Computing and Duo Research Archive (University of Oslo).

In The Last Decade

Håvard Espeland

14 papers receiving 128 citations

Author Peers

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

Author Last Decade Papers Cites
Håvard Espeland 56 35 35 30 29 16 130
Tomáš Kupka 144 2.6× 7 0.2× 51 1.5× 67 2.2× 4 0.1× 28 242
Pranjal Sahu 102 1.8× 15 0.4× 63 1.8× 48 1.6× 96 3.3× 17 273
Pedro C. Neto 106 1.9× 32 0.9× 95 2.7× 47 1.6× 59 2.0× 19 199
Santanu Roy 133 2.4× 15 0.4× 177 5.1× 13 0.4× 86 3.0× 19 267
Nitesh Pradhan 42 0.8× 10 0.3× 106 3.0× 9 0.3× 62 2.1× 24 218
S M Masfequier Rahman Swapno 10 0.2× 14 0.4× 72 2.1× 4 0.1× 23 0.8× 20 185
Anne Koch 7 0.1× 24 0.7× 55 1.6× 6 0.2× 24 0.8× 22 239
Amal Tmiri 34 0.6× 16 0.5× 142 4.1× 15 0.5× 77 2.7× 22 251
Jiawei Su 47 0.8× 4 0.1× 40 1.1× 18 0.6× 14 0.5× 13 150
Andreea Anghel 50 0.9× 12 0.3× 95 2.7× 16 0.5× 35 1.2× 20 249

Countries citing papers authored by Håvard Espeland

Since Specialization
Citations

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

Fields of papers citing papers by Håvard Espeland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Håvard Espeland

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