B. Galdrikian
- Statistical and Nonlinear Physics top 0.5%
- Economics and Econometrics top 1%
- Cognitive Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Computer Networks and Communications top 5%
- Co-authors
- André LongtinJames TheilerJ. Doyne FarmerStephen EubankMark S. SherwinK. L. CampmanJames HeymanKaty Craig
- Topics
- Semiconductor Quantum Structures and Devices (8 papers)Quantum and electron transport phenomena (7 papers)Spectroscopy and Quantum Chemical Studies (4 papers)
- Partner nations
- United StatesIcelandAustria
In The Last Decade
B. Galdrikian
14 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Statistical and Nonlinear Physics 1.1k
- Economics and Econometrics 1.1k
- Cognitive Neuroscience 1.1k
- Cardiology and Cardiovascular Medicine 421
- Computer Networks and Communications 386
Countries citing papers authored by B. Galdrikian
This map shows the geographic impact of B. Galdrikian'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 B. Galdrikian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Galdrikian more than expected).
Fields of papers citing papers by B. Galdrikian
This network shows the impact of papers produced by B. Galdrikian. 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 B. Galdrikian. The network helps show where B. Galdrikian may publish in the future.
Co-authorship network of co-authors of B. Galdrikian
This figure shows the co-authorship network connecting the top 25 collaborators of B. Galdrikian. A scholar is included among the top collaborators of B. Galdrikian 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 B. Galdrikian. B. Galdrikian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 67 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | Materials science in the far-IR with electrostatic based FELs | 1 |
| 6 | 62 | |
| 7 | 7 | |
| 8 | 27 | |
| 9 | 7 | |
| 10 | 80 | |
| 11 | 11 | |
| 12 | 21 | |
| 13 | Testing for nonlinearity in time series: the method of surrogate databreakdown → | 2856 |
| 14 | Using Surrogate Data to Detect Nonlinearity in Time Series | 121 |
| 15 | Testing for nonlinearity in time series: The method of surrogate data | 17 |
About B. Galdrikian
B. Galdrikian is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Spectroscopy, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (8 papers), Quantum and electron transport phenomena (7 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Cognitive Neuroscience (1.1k citations) and Economics and Econometrics (1.1k citations). B. Galdrikian has collaborated with scholars based in United States, Iceland and Austria. Frequent co-authors include André Longtin, James Theiler, J. Doyne Farmer, Stephen Eubank, Mark S. Sherwin, K. L. Campman, James Heyman, Katy Craig, Björn Birnir and A. C. Gossard. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Surface Science.
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.