Niklas Jakob

889 citations
6 papers · 514 indexed · h-index 6
Topics
Sentiment Analysis and Opinion Mining (6 papers)Topic Modeling (5 papers)Advanced Text Analysis Techniques (4 papers)
Journals
TUbilio (Technical University of Darmstadt)Publication Server of the Institute for German Language (Institute for German Language)
Partner nations
GermanyPortugal

In The Last Decade

Niklas Jakob

6 papers receiving 470 citations

Peers

Niklas Jakob
Comparison fields: 5 of 29
  • Artificial Intelligence 483
  • Information Systems 155
  • Sociology and Political Science 58
  • Statistical and Nonlinear Physics 21
  • Management Science and Operations Research 14
Replace Kenji Tateishi with:
Kenji Tateishi Japan
Toshikazu Fukushima Japan
Tyler Neylon United States
Zhongwu Zhai China
Zhen Hai Singapore
Penghui Wei China
Nurulhuda Zainuddin Malaysia
Anthony Aue United States
Benjamin Schiller Germany
Rianne Kaptein Netherlands
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Citations per field
00.5×
Kenji Tateishi · 1×
Citations per year

Countries citing papers authored by Niklas Jakob

Since Specialization
Citations

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

Fields of papers citing papers by Niklas Jakob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Jakob

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews
19
2
Sentence and Expression Level Annotation of Opinions in User-Generated Discourse
75
3
Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields
277
4 101
5
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.
9
6 33

About Niklas Jakob

Niklas Jakob is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases, having authored 6 papers that have together received 514 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (483 citations), Information Systems (155 citations) and Statistical and Nonlinear Physics (21 citations). Niklas Jakob has collaborated with scholars based in Germany and Portugal. Frequent co-authors include Iryna Gurevych, H. Wéber and Lizhen Qu. Their work appears in journals such as TUbilio (Technical University of Darmstadt) and Publication Server of the Institute for German Language (Institute for German Language).

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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