Katherine E. Isaacs

820 total citations
37 papers, 489 citations indexed

About

Katherine E. Isaacs is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Katherine E. Isaacs has authored 37 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Katherine E. Isaacs's work include Data Visualization and Analytics (17 papers), Software System Performance and Reliability (12 papers) and Parallel Computing and Optimization Techniques (12 papers). Katherine E. Isaacs is often cited by papers focused on Data Visualization and Analytics (17 papers), Software System Performance and Reliability (12 papers) and Parallel Computing and Optimization Techniques (12 papers). Katherine E. Isaacs collaborates with scholars based in United States, China and Sweden. Katherine E. Isaacs's co-authors include Abhinav Bhatelé, S. H. Langer, Todd Gamblin, Kathryn Mohror, Peer‐Timo Bremer, Bernd Hamann, Martin Schulz, Ilir Jusufi, Valerio Pascucci and Joshua A. Levine and has published in prestigious journals such as IEEE Access, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Katherine E. Isaacs

33 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine E. Isaacs United States 13 303 176 166 160 58 37 489
Xiaowei Zhu China 6 172 0.6× 137 0.8× 202 1.2× 387 2.4× 48 0.8× 21 497
David Ediger United States 9 245 0.8× 79 0.4× 169 1.0× 312 1.9× 203 3.5× 19 565
John W. Romein Netherlands 11 190 0.6× 137 0.8× 66 0.4× 45 0.3× 11 0.2× 30 414
Jilong Xue China 11 238 0.8× 85 0.5× 233 1.4× 255 1.6× 42 0.7× 18 482
Dimitrios Prountzos United States 11 366 1.2× 366 2.1× 127 0.8× 213 1.3× 46 0.8× 15 601
Kai Tian United States 9 250 0.8× 247 1.4× 201 1.2× 48 0.3× 9 0.2× 16 427
Pascale Vicat-Blanc Primet France 12 668 2.2× 155 0.9× 297 1.8× 19 0.1× 12 0.2× 58 769
Ed Zaluska United Kingdom 11 204 0.7× 71 0.4× 173 1.0× 42 0.3× 5 0.1× 58 413
Jason Lee United States 15 667 2.2× 161 0.9× 168 1.0× 128 0.8× 8 0.1× 35 1.0k

Countries citing papers authored by Katherine E. Isaacs

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Isaacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E. Isaacs. 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 Katherine E. Isaacs. The network helps show where Katherine E. Isaacs may publish in the future.

Co-authorship network of co-authors of Katherine E. Isaacs

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

All Works

20 of 20 papers shown
1.
Taufer, Michela, et al.. (2024). Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6572–6585. 1 indexed citations
2.
Han, Chang & Katherine E. Isaacs. (2024). A Deixis-Centered Approach for Documenting Remote Synchronous Communication Around Data Visualizations. IEEE Transactions on Visualization and Computer Graphics. 31(1). 930–940. 1 indexed citations
3.
Isaacs, Katherine E., et al.. (2024). Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM. 780–794. 1 indexed citations
4.
Isaacs, Katherine E., et al.. (2024). A Literature-based Visualization Task Taxonomy for Gantt Charts. 236–240. 1 indexed citations
5.
Han, Chang, et al.. (2024). An Overview+Detail Layout for Visualizing Compound Graphs. 136–140.
6.
7.
McKinsey, Michael, et al.. (2023). Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 281–293. 9 indexed citations
8.
Isaacs, Katherine E., et al.. (2023). Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study. IEEE Transactions on Visualization and Computer Graphics. 30(4). 1970–1983.
9.
Isaacs, Katherine E., et al.. (2023). Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental Models. 1–24. 3 indexed citations
10.
Ramírez‐Andreotta, Mónica D., et al.. (2021). Alleviating Environmental Health Disparities Through Community Science and Data Integration. Frontiers in Sustainable Food Systems. 5. 7 indexed citations
11.
Brandt, Steven R., et al.. (2020). JetLag: An Interactive, Asynchronous Array Computing Environment. Practice and Experience in Advanced Research Computing. 8–12.
12.
Lee, Bongshin, Katherine E. Isaacs, Danielle Albers Szafir, et al.. (2019). Broadening Intellectual Diversity in Visualization Research Papers. IEEE Computer Graphics and Applications. 39(4). 78–85. 14 indexed citations
13.
Isaacs, Katherine E., et al.. (2019). Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns. IEEE Transactions on Visualization and Computer Graphics. 26(1). 1–1. 13 indexed citations
14.
Isaacs, Katherine E. & Todd Gamblin. (2018). Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization. IEEE Transactions on Visualization and Computer Graphics. 25(9). 2804–2820. 12 indexed citations
15.
Cheng, Shenghui, Wen Zhong, Katherine E. Isaacs, & Klaus Mueller. (2018). Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks. IEEE Access. 6. 57191–57204. 16 indexed citations
16.
Isaacs, Katherine E., et al.. (2014). Visualizing the Five-dimensional Torus Network of the IBM Blue Gene/Q. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 24–27. 12 indexed citations
17.
Bhatelé, Abhinav, Todd Gamblin, Katherine E. Isaacs, et al.. (2012). Novel views of performance data to analyze large-scale adaptive applications. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 7 indexed citations
18.
Levine, Joshua A., Abhinav Bhatelé, Katherine E. Isaacs, et al.. (2012). Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Transactions on Visualization and Computer Graphics. 18(12). 2467–2476. 47 indexed citations
19.
Isaacs, Katherine E., et al.. (2012). Abstract: Exploring Performance Data with Boxfish. 1380–1381. 13 indexed citations
20.
Cahill, Thomas A., et al.. (1970). Nuclear interactions in Si(Li) detectors due to H, D, 3He and 4He beams. Nuclear Instruments and Methods. 87(1). 151–153. 9 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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