Chad A. Steed

951 total citations
51 papers, 548 citations indexed

About

Chad A. Steed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecological Modeling. According to data from OpenAlex, Chad A. Steed has authored 51 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 9 papers in Ecological Modeling. Recurrent topics in Chad A. Steed's work include Data Visualization and Analytics (22 papers), Species Distribution and Climate Change (9 papers) and Data Analysis with R (8 papers). Chad A. Steed is often cited by papers focused on Data Visualization and Analytics (22 papers), Species Distribution and Climate Change (9 papers) and Data Analysis with R (8 papers). Chad A. Steed collaborates with scholars based in United States, United Kingdom and Germany. Chad A. Steed's co-authors include Galen Shipman, Peter Thornton, T. J. Jankun-Kelly, Patrick J. Fitzpatrick, Daniel Ricciuto, Dali Wang, J. Edward Swan, D. N. Williams, Laura Pullum and Arvind Ramanathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Environmental Modelling & Software.

In The Last Decade

Chad A. Steed

48 papers receiving 526 citations

Peers

Chad A. Steed

CVPR

CNC

ISM

Guido Reina Germany

Shusen Liu United States

Jordi Nin Spain

James Rowland United States

Ramakrishnan Kannan United States

Max Cooper Sweden

Virendra Kumar United States

Jae-Gil Lee South Korea

Mike Folk United States

John Graham-Cumming United Kingdom

Guido Reina Germany

Chad A. Steed

418 ×2.9

CVPR

57 ×0.5

59 ×0.6

CNC

29 ×0.4

85 ×1.5

ISM

Citations per year, relative to Chad A. Steed Chad A. Steed (= 1×) peers Guido Reina

Countries citing papers authored by Chad A. Steed

Since Specialization

Citations

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

Fields of papers citing papers by Chad A. Steed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad A. Steed. 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 Chad A. Steed. The network helps show where Chad A. Steed may publish in the future.

Co-authorship network of co-authors of Chad A. Steed

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

All Works

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20 of 20 papers shown

Chae, Junghoon, Chad A. Steed, & Travis S. Humble. (2024). Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. 613–618.

Steed, Chad A., et al.. (2023). QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems. 21. 211–214. 1 indexed citations

Encarnação, L. Miguel, et al.. (2022). Visualization for AI Explainability. IEEE Computer Graphics and Applications. 42(6). 9–10. 3 indexed citations

Steed, Chad A., John R. Goodall, Junghoon Chae, & Artem A. Trofimov. (2020). CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences. SHILAP Revista de lepidopterología. 3. 200013–200013. 7 indexed citations

Steed, Chad A., et al.. (2017). Falcon: Visual analysis of large, irregularly sampled, and multivariate time series data in additive manufacturing. Computers & Graphics. 63. 50–64. 34 indexed citations

Belianinov, Alex, Rama K. Vasudevan, Evgheni Strelcov, et al.. (2015). Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets. PubMed. 1(1). 6–6. 86 indexed citations

Ramanathan, Arvind, et al.. (2015). Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit. Frontiers in Public Health. 3. 182–182. 3 indexed citations

Steed, Chad A., et al.. (2015). Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems. 4 indexed citations

Drouhard, Margaret, et al.. (2015). Immersive visualization for materials science data analysis using the Oculus Rift. 2453–2461. 19 indexed citations

10.

Wang, Dali, Yang Xu, Peter Thornton, et al.. (2014). A functional test platform for the Community Land Model. Environmental Modelling & Software. 55. 25–31. 18 indexed citations

11.

Smith, Brian E., Daniel Ricciuto, Peter Thornton, et al.. (2013). ParCAT: Parallel Climate Analysis Toolkit. Procedia Computer Science. 18. 2367–2375. 6 indexed citations

12.

Steed, Chad A., Daniel Ricciuto, Galen Shipman, et al.. (2013). Big data visual analytics for exploratory earth system simulation analysis. Computers & Geosciences. 61. 71–82. 62 indexed citations

13.

Xu, Songhua, et al.. (2012). A New Collaborative Tool for Visually Understanding National Health Indicators. 7(1 Pt). 91–100. 2 indexed citations

14.

Steed, Chad A., et al.. (2009). An interactive parallel coordinates technique applied to a tropical cyclone climate analysis. Computers & Geosciences. 35(7). 1529–1539. 10 indexed citations

15.

Steed, Chad A., T. J. Jankun-Kelly, & J. Edward Swan. (2009). Illustrative visualization techniques for hurricane advisory information. 1–9. 4 indexed citations

16.

Steed, Chad A., et al.. (2008). Algorithm Design Study for Bathymetry Fusion-Review of Current State-of-the-art and Recommended Design Approach. Defense Technical Information Center (DTIC). 2 indexed citations

17.

Steed, Chad A., et al.. (2004). VGRID: a generic, dynamic HDF5 storage model for georeferenced grid data. 2. 900–907. 2 indexed citations

18.

Steed, Chad A., et al.. (2003). Geophysical Data Base Variable resolution (GDBV): an object-oriented database for dynamic geo-acoustic data storage. Defense Technical Information Center (DTIC).

19.

Steed, Chad A., et al.. (2003). Geophysical Data Base Variable resolution (GDBV): an object-oriented database for dynamic geo-acoustic data storage. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 132–140 Vol.1. 1 indexed citations

20.

Steed, Chad A., et al.. (2003). Level 1 software at JET: a global tool for physics operation. 11. 201–204. 6 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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