Albert-Ĺaszló Barabási
Albert-Ĺaszló Barabási publishes mostly in Molecular Biology, Statistical and Nonlinear Physics and Sociology and Political Science, on topics such as Complex Network Analysis Techniques, Bioinformatics and Genomic Networks and Opinion Dynamics and Social Influence.
- World rank
- #1,733 of 7,710,434 ranked researchers
- Rank in United States
- #678 of 1,627,098
- Works
- 666
- Citations
- 223k
- Citations per work
- 334.1
What does Albert-Ĺaszló Barabási research?
Albert-Ĺaszló Barabási's work is mostly in Biochemistry, Genetics and Molecular Biology (19%), Physics and Astronomy (17%), Computer Science (6%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else36054.1%
- Physical Sciences15723.5%
- Physics and Astronomy11717.5%
- Computer Science406.0%
- Life Sciences12618.9%
- Social Sciences233.5%
- Social Sciences233.5%
- 1Molecular Biology19% of their works
- 2Statistical and Nonlinear Physics14% of their works
- 3Sociology and Political Science4% of their works
- 4Condensed Matter Physics3% of their works
- 5Computational Theory and Mathematics3% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Complex Network Analysis Techniques
- Bioinformatics and Genomic Networks
- Opinion Dynamics and Social Influence
- Theoretical and Computational Physics
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- scientometrics and bibliometrics research
- Computational Drug Discovery Methods
Which keywords describe Albert-Ĺaszló Barabási's research?
The keywords of their largest research topics: Network Dynamics, Social Influence, Community Structure, Scale-Free Networks, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Bounded Confidence and Opinion Dynamics.
- Molecular Docking
- Bibliometric Analysis
- Genome-Scale Models
- Gene Regulatory Networks
- Critical Phenomena
- Opinion Dynamics
- Protein-Protein Interaction Networks
- Scale-Free Networks
- Social Influence
- Network Dynamics
- Community Structure
- Gene Set Enrichment Analysis
- Bounded Confidence
- Synthetic Biology
- Phase Transitions
- Stochastic Gene Expression
- Metabolic Engineering
- Research Evaluation
- Virtual Screening
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Network Dynamics2232 topics
- Social Influence2232 topics
- Community Structure1321 topic
- Scale-Free Networks1321 topic
- Gene Set Enrichment Analysis1081 topic
- Protein-Protein Interaction Networks1081 topic
- Bounded Confidence911 topic
- Opinion Dynamics911 topic
- Synthetic Biology912 topics
- Critical Phenomena511 topic
- Phase Transitions511 topic
- Gene Regulatory Networks471 topic
- Stochastic Gene Expression471 topic
- Genome-Scale Models441 topic
- Metabolic Engineering441 topic
- Bibliometric Analysis391 topic
- Research Evaluation391 topic
- Molecular Docking351 topic
- Virtual Screening351 topic
Where does Albert-Ĺaszló Barabási work?
Albert-Ĺaszló Barabási's main affiliation in the publication record is Northeastern University, United States.
How many publications and citations does Albert-Ĺaszló Barabási have?
OpenAlex counts 666 works and 222,533 citations for Albert-Ĺaszló Barabási, an h-index of 154, ranking #1,733 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Albert-Ĺaszló Barabási. Posts are plain text and can be reported.