Tajana Rosing

10.9k citations
299 papers · 7.6k indexed · 1 hit paper · h-index 47
Topics
Parallel Computing and Optimization Techniques (86 papers)Ferroelectric and Negative Capacitance Devices (82 papers)Advanced Memory and Neural Computing (79 papers)

In The Last Decade

Tajana Rosing

282 papers receiving 7.4k citations

Hit Papers

SpotTune: Transfer Learning Through Adaptive Fine-Tuning20192026202120232019100200300

Peers

Tajana Rosing
Comparison fields: 5 of 130
  • Electrical and Electronic Engineering 4.7k
  • Computer Networks and Communications 3.0k
  • Hardware and Architecture 2.7k
  • Information Systems 1.3k
  • Artificial Intelligence 1.1k
Replace Gu-Yeon Wei with:
Gu-Yeon Wei United States
Jörg Henkel Germany
Muhammad Shafique Germany
Robert P. Dick United States
Diana Marculescu United States
Huazhong Yang China
Magdy Bayoumi United States
Francky Catthoor Belgium
Qinru Qiu United States
Tajana Rosing relative to Gu-Yeon Wei United States Gu-Yeon Wei's profile →
Citations per field
00.5×1.5×
Gu-Yeon Wei · 1×
Citations per year

Countries citing papers authored by Tajana Rosing

Since Specialization
Citations

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

Fields of papers citing papers by Tajana Rosing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tajana Rosing

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

All Works

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About Tajana Rosing

Tajana Rosing is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 299 papers that have together received 7.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (86 papers), Ferroelectric and Negative Capacitance Devices (82 papers) and Advanced Memory and Neural Computing (79 papers). The work is most often cited by research in Hardware and Architecture (2.7k citations), Computer Networks and Communications (3.0k citations) and Electrical and Electronic Engineering (4.7k citations). Tajana Rosing has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Mohsen Imani, Ayse K. Coskun, Gaurav Dhiman, Raid Ayoub, Saransh Gupta, Barış Akşanlı, Kenny C. Gross, David Atienza, Yeseong Kim and Abbas Rahimi. Their work appears in journals such as Sensors, IEEE Transactions on Computers and IEEE Internet of Things Journal.

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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