Linda Andersson

1.0k total citations · 1 hit paper
19 papers, 804 citations indexed

About

Linda Andersson is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Linda Andersson has authored 19 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Linda Andersson's work include Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (6 papers). Linda Andersson is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (6 papers). Linda Andersson collaborates with scholars based in Austria, Germany and United States. Linda Andersson's co-authors include Paul M. Cullis, Richard Wolfenden, Christopher Southgate, Fábio Crestani, Allan Hanbury, Mihai Lupu, Florina Piroi, João Palotti, Andreas Rauber and Tobias Fink and has published in prestigious journals such as Biochemistry, Language Resources and Evaluation and World Patent Information.

In The Last Decade

Linda Andersson

15 papers receiving 757 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Affinities of amino acid side chains for solvent water

1981 739 citations Richard Wolfenden, Linda Andersson et al. Biochemistry profile →

Peers

Linda Andersson

MB

MC

AMPO

SPECT

OC

Vladimir Makarov Russia

Guha Jayachandran United States

Qin Cai United States

Andrea Thorn Germany

Vitor B. P. Leite Brazil

Matthew C. Zwier United States

Hiraku Oshima Japan

Akbar Nayeem United States

Maximilian Scheurer Germany

Scott LeGrand United States

Vladimir Makarov Russia

Linda Andersson

518 ×0.9

MB

157 ×0.8

MC

318 ×1.7

AMPO

120 ×1.0

SPECT

47 ×0.8

OC

Citations per year, relative to Linda Andersson Linda Andersson (= 1×) peers Vladimir Makarov

Countries citing papers authored by Linda Andersson

Since Specialization

Citations

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

Fields of papers citing papers by Linda Andersson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Andersson

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

All Works

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19 of 19 papers shown

1.

Krestel, Ralf, et al.. (2024). 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024). ZBW Publication Archive (ZBW – Leibniz Information Centre for Economics). 3021–3024.

2.

Krestel, Ralf, et al.. (2023). 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). ZBW Publication Archive (ZBW – Leibniz Information Centre for Economics). 3483–3486.

3.

Krestel, Ralf, et al.. (2022). 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 3474–3477. 2 indexed citations

4.

Andersson, Linda, et al.. (2022). A Platform for Argumentative Zoning Annotation and Scientific Summarization. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4843–4847.

5.

Fink, Tobias, Linda Andersson, & Allan Hanbury. (2021). Detecting Multi Word Terms in patents the same way as entities. World Patent Information. 67. 102078–102078. 3 indexed citations

6.

Krestel, Ralf, et al.. (2021). 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). 2693–2696. 3 indexed citations

7.

Hanbury, Allan, et al.. (2021). Data Augmentation for Layperson’s Medical Entity Linking Task. 99–106.

8.

Andersson, Linda, et al.. (2020). ARTU / TU Wien and Artificial Researcher@ LongSumm 20. 310–317. 2 indexed citations

9.

Andersson, Linda, et al.. (2018). Medical Entity Corpus with PICO elements and Sentiment Analysis. Language Resources and Evaluation. 3 indexed citations

10.

Andersson, Linda, et al.. (2018). Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. Studies in health technology and informatics. 247. 146–150. 2 indexed citations

11.

Rekabsaz, Navid, et al.. (2016). Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation. Language Resources and Evaluation. 4176–4179. 1 indexed citations

12.

Andersson, Linda, Mihai Lupu, João Palotti, Allan Hanbury, & Andreas Rauber. (2016). When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval?. 1453–1462. 8 indexed citations

13.

Lipani, Aldo, Linda Andersson, Florina Piroi, Mihai Lupu, & Allan Hanbury. (2014). TUW-IMP at the NTCIR-11 Math-2. NTCIR. 2 indexed citations

14.

Andersson, Linda, Mihai Lupu, João Palotti, et al.. (2014). Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres. 2 indexed citations

15.

Andersson, Linda, et al.. (2012). Automatic refinement of patent queries using concept importance predictors. 505–514. 27 indexed citations

16.

Andersson, Linda, et al.. (2011). Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarization.. 7 indexed citations

17.

Andersson, Linda. (2010). A vector space analysis of swedish patent claims with different linguistic indices. 47–56. 2 indexed citations

18.

Ling, Johan, et al.. (2009). Tanumprojektet. Arkeologiska undersökningar vid hällristningar i Tossene socken, 2005-2008 – Rapport. Including English Summarizing article by Ling & Bengtsson. 1 indexed citations

19.

Wolfenden, Richard, Linda Andersson, Paul M. Cullis, & Christopher Southgate. (1981). Affinities of amino acid side chains for solvent water. Biochemistry. 20(4). 849–855. 739 indexed citations breakdown →

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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