Institute of Information Science

4.1k citations
439 papers ·

Impact in

Papers in

Institute of Information Science

359 papers receiving 3.8k citations

Peers

Institute of Information Science
Comparison fields: 5 of 209
  • Information Systems and Management 192
  • Artificial Intelligence 748
  • Communication 152
  • Computer Vision and Pattern Recognition 413
  • Signal Processing 194
Replace Deutsche Telekom (Austria) with:
Deutsche Telekom (Austria) Austria
Network Group (Czechia) Czechia
XLAB (Slovenia) Slovenia
Italian Resuscitation Council Italy
Vorarlberg University of Applied Sciences Austria
Space Telescope European Coordinating Facility Germany
Megatrend University Serbia
SBA Research Austria
Munich Center for Machine Learning Germany
Dialog Semiconductor (Germany) Germany
Institute of Information Science relative to Deutsche Telekom (Austria) Austria Deutsche Telekom (Austria)'s profile →
Citations per field
00.5×2.8×
Deutsche Telekom (Austria) · 1×
Citations per year

Countries citing scholars working at Institute of Information Science

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Information Science. 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 papers produced at Institute of Information Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Information Science more than expected).

Fields of papers published by authors at Institute of Information Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Information Science at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute of Information Science at the time of their publication.

About Institute of Information Science

In recent decades, authors affiliated with Institute of Information Science have published 439 papers, which have received a total of 4.1k indexed citations . Scholars at this organization have produced 74 papers in Computer Vision and Pattern Recognition, 34 papers in Signal Processing, 81 papers in Artificial Intelligence, 15 papers in Information Systems and Management and 13 papers in Hardware and Architecture on the topics of Image Retrieval and Classification Techniques (12 papers), Semantic Web and Ontologies (12 papers), Speech and Audio Processing (11 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Vision and Imaging (10 papers), Indoor and Outdoor Localization Technologies (10 papers), Privacy, Security, and Data Protection (9 papers) and Robotic Path Planning Algorithms (9 papers). Their work is cited by papers focused on Information Systems and Management (192 citations), Artificial Intelligence (748 citations), Communication (152 citations), Computer Vision and Pattern Recognition (413 citations) and Signal Processing (194 citations). Authors at Institute of Information Science collaborate with scholars in Slovenia, Japan and China and have published in prestigious journals including Japanese Journal of Applied Physics, Journal of the Association for Information Systems, Proceedings of the National Academy of Sciences, Journal of the Physical Society of Japan and International Journal of Systems Science. Some of Institute of Information Science's most productive authors include Hanna Krasnova, Oliver Günther, Arthur Chun-Chieh Shih, Peter Buxmann, Helena Wenninger, Thomas Widjaja, Kuan‐Ta Chen, Wen‐Hsiung Li, Mei‐Shang Ho and Tomaž Bartol.

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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