Peter Eklund

3.7k citations
116 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

Peter Eklund

108 papers receiving 1.8k citations

Peter Eklund's Hit Papers

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis 2021 · 235 citations
2350+1+3Years since publication50100150200

Peers

Peter Eklund
Comparison fields: 5 of 145
  • Artificial Intelligence 728
  • Information Systems 409
  • Signal Processing 169
  • Computer Vision and Pattern Recognition 204
  • Computational Theory and Mathematics 149
Replace Chee Lap Chow with:
Chee Lap Chow Singapore
Jian Tang China
Peipei Li China
Jing Zhang China
Maria Cristina Ferreira de Oliveira Brazil
Heung-No Lee South Korea
Takehiko Yorozu Japan
Kunihiko Oka Japan
Bingchen Li China
Peter Eklund relative to Chee Lap Chow Singapore Chee Lap Chow's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Eklund

Since Specialization
Citations

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

Fields of papers citing papers by Peter Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Eklund, 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 Peter Eklund Line = papers co-authored together Peter Eklund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
Hit paper breakdown →
2021235
2 2009153
3 2008115
4 199893
5
Vibrational Modes of Carbon Nanotubes
199682
6 202179
7 202073
8 202163
9 200352
10 199950
11 200047
12 200346
13 202240
14
Conceptual structures: current research and practice
199236
15 200235
16 199834
17 201932
18 202030
19 200229
20 199924

About Peter Eklund

Peter Eklund is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (29 papers), Rough Sets and Fuzzy Logic (18 papers), Image Retrieval and Classification Techniques (14 papers), Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (9 papers), Carbon Nanotubes in Composites (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (728 citations), Information Systems (409 citations), Signal Processing (169 citations), Computer Vision and Pattern Recognition (204 citations) and Computational Theory and Mathematics (149 citations). Peter Eklund has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Usman Naseem, Imran Razzak, Philippe Martin, Matloob Khushi, Jinman Kim, Shunji Bandow, Richard Cole, Zhu‐An Xu, Jian Wu and Ying Liu. Their work appears in journals such as Physical Review B, Applied Sciences, Materials Science and Engineering C, International Journal of Hydrogen Energy and Neurocomputing.

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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