T. Randen

1.7k citations
18 papers · 1.1k indexed · 1 hit paper · h-index 7
Topics
Seismic Imaging and Inversion Techniques (10 papers)Reservoir Engineering and Simulation Methods (6 papers)Geological Modeling and Analysis (6 papers)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceFirst BreakGeological Society London Petroleum Geology Conference series

In The Last Decade

T. Randen

17 papers receiving 1000 citations

Hit Papers

Filtering for texture classification: a comparative study19992026200820171999250500750

Peers

T. Randen
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 803
  • Media Technology 260
  • Artificial Intelligence 132
  • Industrial and Manufacturing Engineering 94
  • Analytical Chemistry 87
Replace M. Spann with:
M. Spann United Kingdom
M. Petrou United Kingdom
T. Chang United States
Hai-Han Sun Australia
Mark Eramian Canada
T.R. Reed United States
Domenico Vitulano Italy
Vittoria Bruni Italy
Weibin Liu China
T. Randen relative to M. Spann United Kingdom M. Spann's profile →
Citations per field
00.5×3.6×
M. Spann · 1×
Citations per year

Countries citing papers authored by T. Randen

Since Specialization
Citations

This map shows the geographic impact of T. Randen'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 T. Randen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Randen more than expected).

Fields of papers citing papers by T. Randen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Randen

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 8
3 2
4 6
5 11
6 5
7 4
8 1
9 8
10 2
11 3
12 8
13 6
14 4
15 6
16 40
17
Filtering for texture classification: a comparative studybreakdown →
988
18 1

About T. Randen

T. Randen is a scholar working on Geochemistry and Petrology, Geophysics and Earth-Surface Processes, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (10 papers), Reservoir Engineering and Simulation Methods (6 papers) and Geological Modeling and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (803 citations), Media Technology (260 citations) and Industrial and Manufacturing Engineering (94 citations). T. Randen has collaborated with scholars based in Norway, United Kingdom and British Virgin Islands. Frequent co-authors include J.H. Husøy, L. Sønneland, Stein Inge Pedersen, Øyvind Steen, G. Elvebakk, Dave Hunt, Roy H. Gabrielsen, David Hunt, Jan Ove Hansen and J. Pajchel. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, First Break and Geological Society London Petroleum Geology Conference series.

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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