Helgi Adalsteinsson

575 total citations
17 papers, 430 citations indexed

About

Helgi Adalsteinsson is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty and Computer Networks and Communications. According to data from OpenAlex, Helgi Adalsteinsson has authored 17 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Computer Networks and Communications. Recurrent topics in Helgi Adalsteinsson's work include Probabilistic and Robust Engineering Design (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Helgi Adalsteinsson is often cited by papers focused on Probabilistic and Robust Engineering Design (5 papers), Distributed and Parallel Computing Systems (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Helgi Adalsteinsson collaborates with scholars based in United States and Canada. Helgi Adalsteinsson's co-authors include Thomas C. Bruice, Habib N. Najm, Bert Debusschere, Curtis L. Janssen, Joseph P. Kenny, Maher Salloum, Khachik Sargsyan, Andreas H. Maulitz, Francesco Rizzi and Ali Pınar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Computational Physics and Journal of Medicinal Chemistry.

In The Last Decade

Helgi Adalsteinsson

17 papers receiving 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Helgi Adalsteinsson United States 12 113 109 107 88 67 17 430
M. Sriram United States 11 314 2.8× 35 0.3× 28 0.3× 55 0.6× 20 0.3× 23 507
Hailong Zhang China 13 27 0.2× 321 2.9× 58 0.5× 27 0.3× 12 0.2× 67 650
Dieter Zöbel Germany 14 33 0.3× 214 2.0× 37 0.3× 34 0.4× 3 0.0× 57 653
Urban Borštnik Slovenia 8 88 0.8× 118 1.1× 63 0.6× 59 0.7× 1 0.0× 14 415
H. Gelernter United States 12 87 0.8× 72 0.7× 50 0.5× 22 0.3× 3 0.0× 22 509
Kentaro Tanaka Japan 7 199 1.8× 36 0.3× 36 0.3× 2 0.0× 33 0.5× 16 422
David Müller Germany 17 53 0.5× 109 1.0× 21 0.2× 4 0.0× 9 0.1× 50 707
Saurabh Srivastava India 14 87 0.8× 48 0.4× 83 0.8× 106 1.2× 1 0.0× 52 766
C. Martı́n Spain 16 27 0.2× 155 1.4× 18 0.2× 9 0.1× 4 0.1× 50 597
Michael Albert New Zealand 21 37 0.3× 147 1.3× 69 0.6× 7 0.1× 5 0.1× 83 1.2k

Countries citing papers authored by Helgi Adalsteinsson

Since Specialization
Citations

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

Fields of papers citing papers by Helgi Adalsteinsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helgi Adalsteinsson

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

All Works

17 of 17 papers shown
1.
Rizzi, Francesco, Habib N. Najm, Bert Debusschere, et al.. (2012). Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters. Multiscale Modeling and Simulation. 10(4). 1460–1492. 58 indexed citations
2.
Rizzi, Francesco, Habib N. Najm, Bert Debusschere, et al.. (2012). Uncertainty Quantification in MD Simulations. Part I: Forward Propagation. Multiscale Modeling and Simulation. 10(4). 1428–1459. 50 indexed citations
3.
Salloum, Maher, Khachik Sargsyan, Reese E. Jones, et al.. (2012). A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations. Multiscale Modeling and Simulation. 10(2). 550–584. 17 indexed citations
4.
Janssen, Curtis L., Helgi Adalsteinsson, & Joseph P. Kenny. (2011). Using simulation to design extremescale applications and architectures. ACM SIGMETRICS Performance Evaluation Review. 38(4). 4–8. 27 indexed citations
5.
Najm, Habib N., et al.. (2011). Data-free inference of the joint distribution of uncertain model parameters. Journal of Computational Physics. 231(5). 2180–2198. 13 indexed citations
6.
Ahn, Tae-Hyuk, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, & Curtis L. Janssen. (2011). EVALUATING PERFORMANCE OPTIMIZATIONS OF LARGE-SCALE GENOMIC SEQUENCE SEARCH APPLICATIONS USING SST/MACRO. 65–73. 3 indexed citations
7.
Najm, Habib N., Maher Salloum, Khachik Sargsyan, et al.. (2011). Uncertainty Quantification in Multiscale Atomistic-Continuum Models.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
8.
Janssen, Curtis L., et al.. (2010). A Simulator for Large-Scale Parallel Computer Architectures. International Journal of Distributed Systems and Technologies. 1(2). 57–73. 84 indexed citations
9.
Rouson, Damian, et al.. (2010). Design patterns for multiphysics modeling in Fortran 2003 and C++. ACM Transactions on Mathematical Software. 37(1). 1–30. 15 indexed citations
10.
Adalsteinsson, Helgi, et al.. (2008). Object-oriented design patterns for multiphysics modeling in Fortran 2003.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Adalsteinsson, Helgi, Bert Debusschere, K.R. Long, & Habib N. Najm. (2008). Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems. Scientific Programming. 16(4). 297–313. 4 indexed citations
12.
Springer, Clayton, Helgi Adalsteinsson, Malin M. Young, Philip Kegelmeyer, & Diana C. Roe. (2005). PostDOCK:  A Structural, Empirical Approach to Scoring Protein Ligand Complexes. Journal of Medicinal Chemistry. 48(22). 6821–6831. 31 indexed citations
13.
Adalsteinsson, Helgi & Thomas C. Bruice. (2000). Generation and evaluation of putative neuroregenerative drugs. Bioorganic & Medicinal Chemistry. 8(3). 625–635. 12 indexed citations
14.
Adalsteinsson, Helgi & Thomas C. Bruice. (2000). Generation and evaluation of putative neuroregenerative drugs. Bioorganic & Medicinal Chemistry. 8(3). 617–624. 10 indexed citations
15.
16.
Adalsteinsson, Helgi, Andreas H. Maulitz, & Thomas C. Bruice. (1996). Calculation of the Potential Energy Surface for Intermolecular Amide Hydrogen Bonds Using Semiempirical and Ab Initio Methods. Journal of the American Chemical Society. 118(33). 7689–7693. 54 indexed citations
17.
Almarsson, Örn, Helgi Adalsteinsson, & Thomas C. Bruice. (1995). Synthesis and Characterization of an Octacationic Iron(III) Tetraphenylporphyrin, Which Is Soluble in Water and Non-.mu.-Oxo Dimer Forming. Journal of the American Chemical Society. 117(16). 4524–4532. 14 indexed citations

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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