Sabin Tabirca

441 citations
89 papers · 295 · h-index 10

Impact in

Papers in

    • Protein Structure and Dynamics 7
    • Bioinformatics and Genomic Networks 7
    • Real-Time Systems Scheduling 11
    • Parallel Computing and Optimization Techniques 9
    • Embedded Systems Design Techniques 7

Sabin Tabirca

69 papers receiving 282 citations

Peers

Sabin Tabirca
Comparison fields: 5 of 91
  • Hardware and Architecture 28
  • Rheumatology 47
  • Computer Networks and Communications 70
  • Human-Computer Interaction 15
  • Computer Vision and Pattern Recognition 31
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Countries citing papers authored by Sabin Tabirca

Since Specialization
Citations

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

Fields of papers citing papers by Sabin Tabirca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201430
2 200828
3 201319
4 202112
5 201010
6 201310
7 202110
8 20129
9 20089
10 20029
11 20068
12 20197
13 20217
14 20227
15 20216
16 20225
17 20244
18 20044
19 20104
20 20184

About Sabin Tabirca

Sabin Tabirca is a scholar working on Molecular Biology, Hardware and Architecture, Computer Networks and Communications, Mathematical Physics and Computational Theory and Mathematics, having authored 89 papers that have together received 295 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (11 papers), Advanced Mathematical Theories (9 papers), Parallel Computing and Optimization Techniques (9 papers), Embedded Systems Design Techniques (7 papers), Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (7 papers), Bluetooth and Wireless Communication Technologies (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Hardware and Architecture (28 citations), Rheumatology (47 citations), Computer Networks and Communications (70 citations), Human-Computer Interaction (15 citations) and Computer Vision and Pattern Recognition (31 citations). Sabin Tabirca has collaborated with scholars based in Ireland, Canada and United Kingdom. Frequent co-authors include Laurence T. Yang, Barry O’Reilly, Constantin M. Durnea, Louise C. Kenny, Ali S. Khashan, Mark Tangney, David Murphy, Barry J. Plant, Xuefeng Gao and Maksim Iavich. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, International Urogynecology Journal, Frontiers in Bioengineering and Biotechnology and Journal of Intellectual Disabilities.

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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