Lena Strömbäck

595 citations
34 papers · 313 · h-index 9

Impact in

Papers in

Lena Strömbäck

33 papers receiving 293 citations

Peers

Lena Strömbäck
Comparison fields: 5 of 73
  • Information Systems and Management 31
  • Water Science and Technology 34
  • Molecular Biology 167
  • Global and Planetary Change 51
  • Computer Networks and Communications 40
Replace Antonella Galizia with:
Antonella Galizia Italy
Pieter E. Zanstra Netherlands
Wenguang Sun United States
Anusuriya Devaraju Germany
Georgios Petasis Greece
Thomas Nocke Germany
Adam Shepherd United States
Charles L. Viles United States
Ben Evans Australia
Lena Strömbäck relative to Antonella Galizia Italy Antonella Galizia's profile →
Citations per field
00.5×3.3×
Antonella Galizia · 1×
Citations per year

Countries citing papers authored by Lena Strömbäck

Since Specialization
Citations

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

Fields of papers citing papers by Lena Strömbäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lena Strömbäck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lena Strömbäck Line = papers co-authored together Lena Strömbäck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200597
2 201529
3 200725
4 202122
5 201918
6 200617
7 200613
8 200911
9 20069
10 20048
11 20067
12 20067
13 20187
14
XML representations of pathway data : a comparison
20044
15 20094
16 20063
17 19983
18 20093
19 20093
20 20103

About Lena Strömbäck

Lena Strömbäck is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management and Information Systems, having authored 34 papers that have together received 313 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Biomedical Text Mining and Ontologies (7 papers), Scientific Computing and Data Management (6 papers), Semantic Web and Ontologies (6 papers), Advanced Database Systems and Queries (6 papers), Gene Regulatory Network Analysis (5 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Information Systems and Management (31 citations), Water Science and Technology (34 citations), Molecular Biology (167 citations), Global and Planetary Change (51 citations) and Computer Networks and Communications (40 citations). Lena Strömbäck has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Patrick Lambrix, David Hall, Fulco Ludwig, Chantal Donnelly, René Capell, Michelle T. H. van Vliet, Juliana Freire, Jorge H. Amorim, Hao Tan and David Segersson. Their work appears in journals such as Computing in Science & Engineering, Journal of Hydrology, Urban Climate, Bioinformatics and Briefings in Bioinformatics.

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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