Lars Ahrenberg

2.1k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Lars Ahrenberg is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Lars Ahrenberg has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 13 papers in Language and Linguistics and 3 papers in Molecular Biology. Recurrent topics in Lars Ahrenberg's work include Natural Language Processing Techniques (44 papers), Topic Modeling (27 papers) and Semantic Web and Ontologies (12 papers). Lars Ahrenberg is often cited by papers focused on Natural Language Processing Techniques (44 papers), Topic Modeling (27 papers) and Semantic Web and Ontologies (12 papers). Lars Ahrenberg collaborates with scholars based in Sweden, France and Germany. Lars Ahrenberg's co-authors include Arne Jönsson, Nils Dahlbäck, Magnus Merkel, Sara Stymne, Mikael Andersson, Jörg Tiedemann, Ivo Ihrke, Marcus Magnor, Nicola Cancedda and Mikael Nyström and has published in prestigious journals such as Journal of Clinical Pathology, Knowledge-Based Systems and Computational Linguistics.

In The Last Decade

Lars Ahrenberg

49 papers receiving 1.1k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lars Ahrenberg Sweden	14	773	349	288	162	99	53	1.3k
Dennis Reidsma Netherlands	18	484 0.6×	269 0.8×	219 0.8×	211 1.3×	133 1.3×	102	1.1k
Nils Dahlbäck Sweden	15	610 0.8×	424 1.2×	389 1.4×	228 1.4×	127 1.3×	44	1.5k
Matthias Rehm Denmark	19	296 0.4×	343 1.0×	244 0.8×	122 0.8×	109 1.1×	116	1.0k
Oya Aran Switzerland	20	388 0.5×	305 0.9×	287 1.0×	308 1.9×	94 0.9×	63	1.1k
Kerstin Severinson Eklundh Sweden	17	247 0.3×	376 1.1×	228 0.8×	147 0.9×	44 0.4×	40	846
Joakim Gustafson Sweden	20	1.1k 1.4×	453 1.3×	124 0.4×	157 1.0×	98 1.0×	137	1.5k
Andrew M. Olney United States	19	1.3k 1.7×	214 0.6×	139 0.5×	114 0.7×	192 1.9×	75	2.1k
Mariët Theune Netherlands	19	950 1.2×	200 0.6×	74 0.3×	162 1.0×	42 0.4×	122	1.3k
Tim Paek United States	20	459 0.6×	232 0.7×	364 1.3×	263 1.6×	166 1.7×	51	1.2k
Kristiina Jokinen Finland	17	684 0.9×	321 0.9×	186 0.6×	118 0.7×	47 0.5×	118	1.1k

Countries citing papers authored by Lars Ahrenberg

Since Specialization

Citations

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

Fields of papers citing papers by Lars Ahrenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Ahrenberg

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

All Works

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20 of 20 papers shown

1.

Haglund, Jesper, Fredrik Jeppsson, & Lars Ahrenberg. (2014). Taking Advantage of the “Big Mo”—Momentum in Everyday English and Swedish and in Physics Teaching. Research in Science Education. 45(3). 345–365. 4 indexed citations

2.

Ahrenberg, Lars, et al.. (2013). Natural Language Processing for the Translation Class. Journal of Clinical Pathology. 59(86). 1–10. 1 indexed citations

3.

Ahrenberg, Lars, et al.. (2012). Error profiling for evaluation of machine-translated text: a Polish-English case study. Language Resources and Evaluation. 1764–1770. 3 indexed citations

4.

Stymne, Sara, et al.. (2012). Alignment-based reordering for SMT. Language Resources and Evaluation. 3436–3440. 6 indexed citations

5.

Stymne, Sara & Lars Ahrenberg. (2012). On the practice of error analysis for machine translation evaluation. Language Resources and Evaluation. 1785–1790. 27 indexed citations

6.

Stymne, Sara, et al.. (2011). Experiments with word alignment, normalization and clause reordering for SMT between English and German. Workshop on Statistical Machine Translation. 393–398. 2 indexed citations

7.

Merkel, Magnus, et al.. (2010). Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 103–107. 2 indexed citations

8.

Stymne, Sara & Lars Ahrenberg. (2010). Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation. Language Resources and Evaluation. 2175–2181. 21 indexed citations

9.

Stymne, Sara, et al.. (2010). Vs and OOVs: Two Problems for Translation between German and English. Workshop on Statistical Machine Translation. 183–188. 6 indexed citations

10.

Ahrenberg, Lars. (2010). Alignment-based profiling of Europarl data in an English-Swedish parallel corpus. Language Resources and Evaluation. 3398–3404. 4 indexed citations

11.

Ahrenberg, Lars, et al.. (2008). Converting Romanized Persian to the Arabic Writing Systems.. Language Resources and Evaluation. 3 indexed citations

12.

Mægaard, Bente, et al.. (2006). KUNSTI - Knowledge Generation for Norwegian Language Technology. Language Resources and Evaluation. 757–760. 3 indexed citations

13.

Nyström, Mikael, Magnus Merkel, Lars Ahrenberg, et al.. (2006). Creating a medical English-Swedish dictionary using interactive word alignment. BMC Medical Informatics and Decision Making. 6(1). 35–35. 14 indexed citations

14.

Ihrke, Ivo, Lars Ahrenberg, & Marcus Magnor. (2004). External Camera Calibration for Synchronized Multi-video Systems.. Digital Library (University of West Bohemia). 537–544. 13 indexed citations

15.

Ahrenberg, Lars, Mikael Andersson, & Magnus Merkel. (2002). A System for Incremental and Interactive Word Linking. Language Resources and Evaluation. 485–490. 25 indexed citations

16.

Ahrenberg, Lars, et al.. (2000). Evaluation of word alignment systems. Language Resources and Evaluation. 1255–1261. 32 indexed citations

17.

Ahrenberg, Lars, et al.. (1999). Evaluation of LWA and UWA. 4 indexed citations

18.

Ahrenberg, Lars, Mikael Andersson, & Magnus Merkel. (1998). A simple hybrid aligner for generating lexical correspondences in parallel texts. 1. 29–29. 6 indexed citations

19.

Ahrenberg, Lars, Mikael Andersson, & Magnus Merkel. (1998). A simple hybrid aligner for generating lexical correspondences in parallel texts. 1. 29–29. 34 indexed citations

20.

Ahrenberg, Lars. (1987). Parsing into Discourse Object Descriptions. 140–147. 5 indexed citations

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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