Mikael Nyström

51 total papers · 553 total citations
29 papers, 411 citations indexed

About

Mikael Nyström is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Mikael Nyström has authored 29 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Mikael Nyström's work include Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (8 papers) and Substance Abuse Treatment and Outcomes (5 papers). Mikael Nyström is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (8 papers) and Substance Abuse Treatment and Outcomes (5 papers). Mikael Nyström collaborates with scholars based in Sweden, Finland and France. Mikael Nyström's co-authors include Mikko Salaspuro, Hans Åhlfeldt, Daniel Karlsson, Håkan Petersson, Kalevi Laitinen, Katja S. Salmela, Gunnar Nilsson, Anna Vikström, Alan Rector and Ronald Cornet and has published in prestigious journals such as Alcoholism Clinical and Experimental Research, SAE technical papers on CD-ROM/SAE technical paper series and BMC Medical Informatics and Decision Making.

In The Last Decade

Mikael Nyström

27 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Mikael Nyström	166	146	139	77	65	29	411
Matthew Zhang	38 0.2×	62 0.4×	99 0.7×	75 1.0×	33 0.5×	37	478
Xiaoyang Ruan	29 0.2×	21 0.1×	152 1.1×	59 0.8×	33 0.5×	20	396
Kunal Malhotra	56 0.3×	84 0.6×	66 0.5×	27 0.4×	10 0.2×	37	418
Mehdi Ebrahimi	71 0.4×	33 0.2×	79 0.6×	27 0.4×	39 0.6×	43	470
Amit Garg	44 0.3×	28 0.2×	47 0.3×	27 0.4×	104 1.6×	26	479
J. J. Ross	78 0.5×	25 0.2×	60 0.4×	29 0.4×	9 0.1×	41	391
Haochen Guan	28 0.2×	55 0.4×	154 1.1×	67 0.9×	97 1.5×	20	456
Alfredo Reza‐Albarrán	46 0.3×	40 0.3×	48 0.3×	25 0.3×	27 0.4×	41	399
Erica A. Voss	8 0.0×	73 0.5×	87 0.6×	75 1.0×	58 0.9×	27	492
Xiaolan Xu	18 0.1×	95 0.7×	76 0.5×	21 0.3×	11 0.2×	47	435

Countries citing papers authored by Mikael Nyström

Since Specialization

Citations

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

Fields of papers citing papers by Mikael Nyström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikael Nyström

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