Deutsche Telekom (Singapore)

207 papers receiving 3.5k citations

Peers

Deutsche Telekom (Singapore)
Comparison fields: 5 of 179
  • Statistics, Probability and Uncertainty 211
  • Safety, Risk, Reliability and Quality 242
  • Computer Networks and Communications 455
  • Health, Toxicology and Mutagenesis 229
  • Civil and Structural Engineering 370
Replace Institute of Data Science with:
Institute of Data Science Singapore
Wipro (Singapore) Singapore
Institut Penyelidikan Keselamatan Jalan Raya Malaysia Malaysia
Sripatum University Thailand
MOH Holdings Singapore
Institute for Development and Economic Analysis Indonesia
Dong A University Vietnam
Department of Statistics Malaysia Malaysia
Eastern International University Vietnam
Yangon Technological University Myanmar
Deutsche Telekom (Singapore) relative to Institute of Data Science Singapore Institute of Data Science's profile →
Citations per field
00.5×50×113×
Institute of Data Science · 1×
Citations per year

Countries citing scholars working at Deutsche Telekom (Singapore)

Since Specialization
Citations

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

Fields of papers published by authors at Deutsche Telekom (Singapore)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Deutsche Telekom (Singapore) 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 Deutsche Telekom (Singapore) at the time of their publication.

About Deutsche Telekom (Singapore)

In recent decades, authors affiliated with Deutsche Telekom (Singapore) have published 253 papers, which have received a total of 3.8k indexed citations . Scholars at this organization have produced 12 papers in Statistics, Probability and Uncertainty, 35 papers in Civil and Structural Engineering, 10 papers in Transportation, 7 papers in Radiological and Ultrasound Technology and 13 papers in Management Information Systems on the topics of Infrastructure Resilience and Vulnerability Analysis (17 papers), Advanced Optical Network Technologies (13 papers), Structural Health Monitoring Techniques (11 papers), Cloud Computing and Resource Management (10 papers), Corporate Governance and Management (10 papers), Risk and Safety Analysis (8 papers), Optical Network Technologies (8 papers) and Occupational Health and Safety Research (7 papers). Their work is cited by papers focused on Statistics, Probability and Uncertainty (211 citations), Safety, Risk, Reliability and Quality (242 citations), Computer Networks and Communications (455 citations), Health, Toxicology and Mutagenesis (229 citations) and Civil and Structural Engineering (370 citations). Authors at Deutsche Telekom (Singapore) collaborate with scholars in Singapore, Switzerland and Germany and have published in prestigious journals including IEEE Cloud Computing, Reliability Engineering & System Safety, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Reliability and IEEE Communications Magazine. Some of Deutsche Telekom (Singapore)'s most productive authors include D. Mahinda Vilathgamuwa, Eleni Chatzi, Mazin S. Yousif, Zhilu Lai, Vivek Kant, Paolo Roccaro, Shane A. Snyder, Massimiliano Sgroi, Werner Schindler and S.S. Choi.

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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