Jonas Sjöbergh

498 total citations
23 papers, 256 citations indexed

About

Jonas Sjöbergh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Jonas Sjöbergh has authored 23 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems and Management. Recurrent topics in Jonas Sjöbergh's work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Data Visualization and Analytics (5 papers). Jonas Sjöbergh is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Data Visualization and Analytics (5 papers). Jonas Sjöbergh collaborates with scholars based in Japan, Sweden and Canada. Jonas Sjöbergh's co-authors include Annika K. Jägerbrand, Viggo Kann, Ola Knutsson, Kenji Araki, Yuzuru Tanaka, Martin Hassel, Martin Duneld, Keisuke Takahashi, Eriks Sneiders and Randy Goebel and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and SpringerPlus.

In The Last Decade

Jonas Sjöbergh

21 papers receiving 225 citations

Peers

Jonas Sjöbergh

AI

SRRQ

AE

TRANS

CVPR

Yao Rong Germany

Bret Harsham United States

Iqra Ameer Mexico

João Emílio Almeida Portugal

Adriana Braun Brazil

Mahathir Almashor Australia

Xuan He China

Graciela Ramírez-Alonso Mexico

António Leça Coelho Portugal

Richard Coppenbarger United States

Yao Rong Germany

Jonas Sjöbergh

76 ×0.6

AI

9 ×0.1

SRRQ

23 ×0.7

AE

5 ×0.2

TRANS

35 ×1.3

CVPR

Citations per year, relative to Jonas Sjöbergh Jonas Sjöbergh (= 1×) peers Yao Rong

Countries citing papers authored by Jonas Sjöbergh

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Sjöbergh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Sjöbergh

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

Sjöbergh, Jonas & Yuzuru Tanaka. (2017). Visualizing Missing Values. 242–249. 5 indexed citations

2.

Sneiders, Eriks, et al.. (2017). Automated email answering by text‐pattern matching: Performance and error analysis. Expert Systems. 35(1). 5 indexed citations

3.

Jägerbrand, Annika K. & Jonas Sjöbergh. (2016). Effects of weather conditions, light conditions, and road lighting on vehicle speed. SpringerPlus. 5(1). 505–505. 93 indexed citations

4.

Tanaka, Yuzuru, Jonas Sjöbergh, & Keisuke Takahashi. (2016). A Need for Exploratory Visual Analytics in Big Data Research and for Open Science. 14. 261–270. 5 indexed citations

5.

Sjöbergh, Jonas, Xingkai Li, Randy Goebel, & Yuzuru Tanaka. (2015). A Visualization-Analytics-Interaction Workflow Framework for Exploratory and Explanatory Search on Geo-located Search Data Using the Meme Media Digital Dashboard. 300–309. 2 indexed citations

6.

Sjöbergh, Jonas & Yuzuru Tanaka. (2014). From Multiple Linked Views to Multiple Linked Analyses: The Meme Media Digital Dashboard. 14. 170–175. 2 indexed citations

7.

Hassel, Martin & Jonas Sjöbergh. (2010). Navigating Through Summary Space : Selecting Summaries, Not Sentences.

8.

Sjöbergh, Jonas, et al.. (2010). Using web-based Meme Media technologies to create an integrated visual environment for clinical trials. 366–371. 1 indexed citations

9.

Sjöbergh, Jonas & Kenji Araki. (2008). What is poorly Said is a Little Funny. Language Resources and Evaluation. 1 indexed citations

10.

Sjöbergh, Jonas & Kenji Araki. (2008). A Complete and Modestly Funny System for Generating and Performing Japanese Stand-Up Comedy. International Conference on Computational Linguistics. 111–114. 8 indexed citations

11.

Sjöbergh, Jonas & Kenji Araki. (2008). A Multi-Lingual Dictionary of Dirty Words. Language Resources and Evaluation. 7 indexed citations

12.

Sjöbergh, Jonas, et al.. (2007). Developing and Evaluating a Searchable Swedish-Thai Lexicon. DSpace repository (University of Tartu). 324–328.

13.

Sjöbergh, Jonas. (2007). Older versions of the ROUGEeval summarization evaluation system were easier to fool. Information Processing & Management. 43(6). 1500–1505. 27 indexed citations

14.

Sjöbergh, Jonas & Viggo Kann. (2006). Vad kan statistik avslöja om svenska sammansättningar. 199–214. 1 indexed citations

15.

Hassel, Martin & Jonas Sjöbergh. (2006). Towards Holistic Summarization – Selecting Summaries, Not Sentences. Language Resources and Evaluation. 1542–1547. 12 indexed citations

16.

Sjöbergh, Jonas, et al.. (2005). Faking Errors to Avoid Making Errors: Very Weakly Supervised Learning for Error Detection in Writing. 65(Suppl 3). 520–5. 16 indexed citations

17.

Sjöbergh, Jonas. (2005). Chunking: an unsupervised method to find errors in text. DSpace repository (University of Tartu). 180–185. 14 indexed citations

18.

Kann, Viggo, et al.. (2004). Grammar checking for Swedish second language learners. 33–47. 14 indexed citations

19.

Sjöbergh, Jonas & Viggo Kann. (2004). Finding the Correct Interpretation of Swedish Compounds, a Statistical Approach. Language Resources and Evaluation. 21 indexed citations

20.

Knutsson, Ola, et al.. (2003). Automatic Evaluation of Robustness and Degradation in Tagging and Parsing. 8 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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