James Kress

515 total citations
15 papers, 166 citations indexed

About

James Kress is a scholar working on Computer Networks and Communications, Information Systems and Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Kress has authored 15 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Kress's work include Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (7 papers) and Scientific Computing and Data Management (5 papers). James Kress is often cited by papers focused on Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (7 papers) and Scientific Computing and Data Management (5 papers). James Kress collaborates with scholars based in United States, Singapore and South Korea. James Kress's co-authors include David Pugmire, Hank Childs, Scott Klasky, Matthew Larsen, Robert Maynard, Norbert Podhorszki, Will Usher, Berk Geveci, Matthew Wolf and Kenneth Moreland and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and IEEE Computer Graphics and Applications.

In The Last Decade

James Kress

14 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Kress United States	6	95	59	42	41	39	15	166
Emil Axelsson Sweden	8	28 0.3×	47 0.8×	52 1.2×	9 0.2×	15 0.4×	23	187
Peter Thoman Austria	8	164 1.7×	27 0.5×	157 3.7×	9 0.2×	11 0.3×	35	242
Joël Falcou France	8	84 0.9×	14 0.2×	107 2.5×	8 0.2×	3 0.1×	22	165
S.D. Hammond United Kingdom	10	226 2.4×	20 0.3×	205 4.9×	12 0.3×	6 0.2×	24	291
Protonu Basu United States	8	141 1.5×	13 0.2×	170 4.0×	5 0.1×	5 0.1×	13	199
Philipp Gschwandtner Austria	8	141 1.5×	11 0.2×	139 3.3×	7 0.2×	4 0.1×	21	214
J. T. Childers United States	8	76 0.8×	19 0.3×	29 0.7×	24 0.6×		31	158
Troels Henriksen Denmark	9	100 1.1×	32 0.5×	166 4.0×	2 0.0×	14 0.4×	28	219
Ruymán Reyes Spain	9	110 1.2×	15 0.3×	124 3.0×	12 0.3×	1 0.0×	20	192
Johannes de Fine Licht Switzerland	7	72 0.8×	17 0.3×	81 1.9×	10 0.2×	1 0.0×	14	125

Countries citing papers authored by James Kress

Since Specialization

Citations

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

Fields of papers citing papers by James Kress

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Kress

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

All Works

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15 of 15 papers shown

Gainaru, Ana, Lipeng Wan, E. Suchyta, et al.. (2022). Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Transactions on Parallel and Distributed Systems. 33(12). 4134–4147. 1 indexed citations

Liang, Xin, Ben Whitney, Jieyang Chen, et al.. (2021). MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Transactions on Computers. 71(7). 1522–1536. 41 indexed citations

Kress, James, Matthew Larsen, Jong Youl Choi, et al.. (2020). Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. 22–26. 2 indexed citations

Loring, Burlen, Matthew Wolf, James Kress, et al.. (2020). Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. eScholarship (California Digital Library).

Pugmire, David, Mark Kim, James Kress, et al.. (2018). Performance-Portable Particle Advection with VTK-m. Eurographics. 5 indexed citations

Moreland, Kenneth, Christopher Sewell, Will Usher, et al.. (2016). VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications. 36(3). 48–58. 76 indexed citations

Pugmire, David, James Kress, Scott Klasky, et al.. (2016). Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. eScholarship (California Digital Library). 1007–1013. 5 indexed citations

Kress, James, David Pugmire, Scott Klasky, & Hank Childs. (2016). Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 45–50. 4 indexed citations

Kress, James, David Pugmire, Scott Klasky, & Hank Childs. (2016). Visualization and analysis requirements for in situ processing for a large-scale fusion simulation code. 45–50. 2 indexed citations

10.

Larsen, Matthew, Cyrus Harrison, James Kress, et al.. (2016). Performance Modeling of In Situ Rendering. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 276–287. 11 indexed citations

11.

Choi, Jong Youl, Tahsin Kurç, Jeremy Logan, et al.. (2016). Stream processing for near real-time scientific data analysis. 1–8. 3 indexed citations

12.

Kress, James, et al.. (2016). Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. Supercomputing Frontiers and Innovations. 3(4). 4 indexed citations

13.

Kress, James, Erik Anderson, & Hank Childs. (2015). A visualization pipeline for large-scale tractography data. 5. 115–123. 1 indexed citations

14.

Kress, James, Scott Klasky, Norbert Podhorszki, et al.. (2015). Loosely Coupled In Situ Visualization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 10 indexed citations

15.

Kress, James, Songhua Xu, & Georgia D. Tourassi. (2013). A novel graphical user interface for high-efficacy modeling of human perceptual similarity opinions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8673. 867306–867306. 1 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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