Randi Karlsen

75 total papers · 778 total citations
47 papers, 472 citations indexed

About

Randi Karlsen is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Randi Karlsen has authored 47 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 14 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Randi Karlsen's work include Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Distributed systems and fault tolerance (6 papers). Randi Karlsen is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Distributed systems and fault tolerance (6 papers). Randi Karlsen collaborates with scholars based in Norway, Spain and United States. Randi Karlsen's co-authors include Luis Fernández-Luque, Vicente Traver, Carlos Fernández-Llatas, Antonio Martínez-Millana, Anders Andersen, Lars Kristian Vognild, Genevieve B. Melton, Frank Eliassen, Panagiotis D. Bamidis and Stathis Konstantinidis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and ACM SIGMOD Record.

In The Last Decade

Randi Karlsen

44 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Randi Karlsen	118	103	95	83	61	47	472
John Batani	80 0.7×	118 1.1×	105 1.1×	43 0.5×	58 1.0×	29	525
Pieter J. Toussaint	53 0.4×	121 1.2×	78 0.8×	49 0.6×	24 0.4×	55	458
Pekka Ruotsalainen	104 0.9×	81 0.8×	97 1.0×	100 1.2×	24 0.4×	62	459
Stathis Konstantinidis	77 0.7×	101 1.0×	54 0.6×	50 0.6×	11 0.2×	74	479
Anna Jurek	253 2.1×	59 0.6×	83 0.9×	146 1.8×	24 0.4×	27	550
Patrick Cheong‐Iao Pang	93 0.8×	143 1.4×	65 0.7×	126 1.5×	9 0.1×	66	450
Ann Borda	35 0.3×	114 1.1×	44 0.5×	77 0.9×	25 0.4×	61	492
Beatriz Sainz de Abajo	79 0.7×	120 1.2×	67 0.7×	30 0.4×	69 1.1×	30	495
Stefano Bonacina	39 0.3×	105 1.0×	103 1.1×	37 0.4×	47 0.8×	46	440
Inbal Yahav	140 1.2×	26 0.3×	69 0.7×	78 0.9×	28 0.5×	45	529

Countries citing papers authored by Randi Karlsen

Since Specialization

Citations

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

Fields of papers citing papers by Randi Karlsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randi Karlsen

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