Daniel Ibanez

748 total citations · 1 hit paper
16 papers, 416 citations indexed

About

Daniel Ibanez is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Mechanics. According to data from OpenAlex, Daniel Ibanez has authored 16 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 4 papers in Computational Mechanics. Recurrent topics in Daniel Ibanez's work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (8 papers) and Interconnection Networks and Systems (4 papers). Daniel Ibanez is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (8 papers) and Interconnection Networks and Systems (4 papers). Daniel Ibanez collaborates with scholars based in United States, United Kingdom and France. Daniel Ibanez's co-authors include Mark S. Shephard, Cameron Smith, Christian Robert Trott, Rahulkumar Gayatri, Amy Powell, Mikael Simberg, Jeff Miles, Sivasankaran Rajamanickam, Jan Ciesko and Nathan Ellingwood and has published in prestigious journals such as Molecular Physics, SIAM Journal on Scientific Computing and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Daniel Ibanez

16 papers receiving 399 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Kokkos 3: Programming Model Extensions for the Exascale Era

2021 226 citations Christian Robert Trott, Damien Lebrun-Grandié et al. IEEE Transactions on Parallel and Distributed Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ibanez United States	10	143	138	136	48	32	16	416
Dinesh Kaushik United States	11	111 0.8×	132 1.0×	232 1.7×	16 0.3×	22 0.7×	24	446
Tan Nguyen United States	9	133 0.9×	138 1.0×	142 1.0×	16 0.3×	52 1.6×	23	478
Rahul S. Sampath United States	10	76 0.5×	87 0.6×	161 1.2×	52 1.1×	18 0.6×	17	494
Brian Friesen United States	8	95 0.7×	70 0.5×	130 1.0×	16 0.3×	78 2.4×	20	460
Daniel Sunderland United States	8	347 2.4×	364 2.6×	119 0.9×	11 0.2×	39 1.2×	14	685
Rahulkumar Gayatri United States	6	141 1.0×	151 1.1×	34 0.3×	8 0.2×	27 0.8×	16	344
David Poliakoff United States	3	112 0.8×	121 0.9×	41 0.3×	7 0.1×	31 1.0×	5	287
Jonathan Madsen United States	5	116 0.8×	129 0.9×	40 0.3×	6 0.1×	33 1.0×	8	299
Michele Rosso France	5	56 0.4×	31 0.2×	143 1.1×	13 0.3×	49 1.5×	9	340
Tobias Weinzierl United Kingdom	10	42 0.3×	46 0.3×	166 1.2×	22 0.5×	12 0.4×	33	276

Countries citing papers authored by Daniel Ibanez

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ibanez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ibanez

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

All Works

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16 of 16 papers shown

Trott, Christian Robert, Damien Lebrun-Grandié, Daniel Arndt, et al.. (2021). Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Transactions on Parallel and Distributed Systems. 33(4). 805–817. 226 indexed citations breakdown →

Joó, Bálint, Thorsten Kurth, M. A. Clark, et al.. (2019). Performance Portability of a Wilson Dslash Stencil Operator Mini-App Using Kokkos and SYCL. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14–25. 17 indexed citations

Ibanez, Daniel, et al.. (2018). Tetrahedral mesh adaptation for Lagrangian shock hydrodynamics. Computers & Mathematics with Applications. 78(2). 402–416. 3 indexed citations

Mattox, Timothy I., James P. Larentzos, Stan Moore, et al.. (2018). Highly scalable discrete-particle simulations with novel coarse-graining: accessing the microscale. Molecular Physics. 116(15-16). 2061–2069. 14 indexed citations

Park, Michael A., et al.. (2018). Unstructured Grid Adaptation and Solver Technology for Turbulent Flows. 2018 AIAA Aerospace Sciences Meeting. 20 indexed citations

Smith, Cameron, et al.. (2018). In‐memory integration of existing software components for parallel adaptive unstructured mesh workflows. Concurrency and Computation Practice and Experience. 30(18). 5 indexed citations

Smith, Cameron, Michel Rasquin, Daniel Ibanez, Kenneth E. Jansen, & Mark S. Shephard. (2018). Improving Unstructured Mesh Partitions for Multiple Criteria Using Mesh Adjacencies. SIAM Journal on Scientific Computing. 40(1). C47–C75. 9 indexed citations

Ibanez, Daniel & Mark S. Shephard. (2017). Modifiable Array Data Structures for Mesh Topology. SIAM Journal on Scientific Computing. 39(2). C144–C161. 3 indexed citations

Ibanez, Daniel, et al.. (2017). First benchmark of the Unstructured Grid Adaptation Working Group. Procedia Engineering. 203. 154–166. 28 indexed citations

10.

Li, Zhen, Daniel Ibanez, Assad A. Oberai, et al.. (2016). Component-based workflows for parallel thermomechanical analysis of arrayed geometries. Engineering With Computers. 33(3). 509–517. 2 indexed citations

11.

Ibanez, Daniel, et al.. (2016). Hybrid MPI-thread parallelization of adaptive mesh operations. Parallel Computing. 52. 133–143. 10 indexed citations

12.

Smith, Cameron, et al.. (2016). In-memory Integration of Existing Software Components for Parallel Adaptive Unstructured Mesh Workflows. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 2 indexed citations

13.

Ibanez, Daniel. (2016). Conformal mesh adaptation on heterogeneous supercomputers. 9 indexed citations

14.

Ibanez, Daniel, et al.. (2016). PUMI. ACM Transactions on Mathematical Software. 42(3). 1–28. 44 indexed citations

15.

Smith, Cameron, et al.. (2012). A Parallel Unstructured Mesh Infrastructure. 1124–1132. 9 indexed citations

16.

Ovcharenko, Aleksandr, Daniel Ibanez, Fabien Delalondre, et al.. (2011). Neighborhood communication paradigm to increase scalability in large-scale dynamic scientific applications. Parallel Computing. 38(3). 140–156. 15 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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