Kyle Chard

5.9k total citations · 1 hit paper
185 papers, 3.3k citations indexed

About

Kyle Chard is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Kyle Chard has authored 185 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Networks and Communications, 99 papers in Information Systems and Management and 75 papers in Information Systems. Recurrent topics in Kyle Chard's work include Scientific Computing and Data Management (96 papers), Distributed and Parallel Computing Systems (68 papers) and Advanced Data Storage Technologies (48 papers). Kyle Chard is often cited by papers focused on Scientific Computing and Data Management (96 papers), Distributed and Parallel Computing Systems (68 papers) and Advanced Data Storage Technologies (48 papers). Kyle Chard collaborates with scholars based in United States, New Zealand and United Kingdom. Kyle Chard's co-authors include Ian Foster, Kris Bubendorfer, Steven Tuecke, Omer Rana, Ryan Chard, Simon Caton, Ben Blaiszik, Rachana Ananthakrishnan, Logan Ward and Jim Pruyne and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Astrophysical Journal Supplement Series.

In The Last Decade

Kyle Chard

169 papers receiving 3.2k citations

Hit Papers

Matminer: An open source toolkit for materials data mining 2018 2026 2020 2023 2018 200 400 600
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.

  1. Matminer: An open source toolkit for materials data mining
    2018 675 citations Logan Ward, Kyle Chard et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Chard United States 26 1.2k 1.1k 925 799 501 185 3.3k
Claudio Gutiérrez Chile 28 1.3k 1.1× 806 0.7× 699 0.8× 186 0.2× 2.1k 4.1× 126 4.9k
Gregor von Laszewski United States 31 3.4k 2.9× 2.3k 2.1× 138 0.1× 1.2k 1.5× 360 0.7× 125 4.6k
James D. Myers United States 20 879 0.7× 881 0.8× 368 0.4× 1.2k 1.5× 332 0.7× 86 3.3k
Dongmei Zhang China 44 3.0k 2.5× 2.9k 2.7× 214 0.2× 159 0.2× 2.6k 5.3× 326 7.0k
Robert Bradshaw United States 19 539 0.5× 445 0.4× 275 0.3× 107 0.1× 497 1.0× 59 2.6k
Vittorio Scarano Italy 23 367 0.3× 249 0.2× 381 0.4× 77 0.1× 250 0.5× 142 4.3k
Lei Tang China 36 965 0.8× 897 0.8× 226 0.2× 38 0.0× 2.3k 4.7× 176 5.3k
Steven Tuecke United States 35 11.1k 9.4× 4.1k 3.8× 200 0.2× 3.8k 4.8× 1.2k 2.3× 78 12.7k
Nenad Stojanović Germany 22 543 0.5× 581 0.5× 276 0.3× 59 0.1× 805 1.6× 122 1.9k
Elena Ferrari Italy 37 1.6k 1.4× 2.3k 2.1× 130 0.1× 120 0.2× 3.3k 6.7× 265 5.6k

Countries citing papers authored by Kyle Chard

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Chard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Chard

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Chard. A scholar is included among the top collaborators of Kyle Chard 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 Kyle Chard. Kyle Chard 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.
Hategan, Mihael, Ketan Maheshwari, М. И. Титов, et al.. (2025). Exascale workflow applications and middleware: An ExaWorks retrospective. The International Journal of High Performance Computing Applications. 1 indexed citations
2.
Hudson, Nathaniel, et al.. (2025). Addressing Reproducibility Challenges in HPC with Continuous Integration. 437–457.
3.
4.
Bauer, André, et al.. (2025). Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. Open MIND. 870–887. 1 indexed citations
5.
Ramakrishnan, Lavanya, et al.. (2024). SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems. Journal of Parallel and Distributed Computing. 189. 104878–104878.
6.
7.
Khan, Arham, et al.. (2024). An End-to-End Programming Model for AI Engine Architectures. Knowledge@UChicago (University of Chicago). 135–136. 1 indexed citations
8.
Li, Yifei, Ryan Chard, Yadu Babuji, et al.. (2024). UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. 217–229. 1 indexed citations
9.
Ananthakrishnan, Rachana, Yadu Babuji, Kyle Chard, et al.. (2024). Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. Knowledge@UChicago (University of Chicago). 1–5. 2 indexed citations
10.
Chard, Kyle, et al.. (2024). X-OpenMP — eXtreme fine-grained tasking using lock-less work stealing. Future Generation Computer Systems. 159. 444–458. 1 indexed citations
11.
Sohail, Shaleeza, Melanie Po‐Leen Ooi, Boyang Li, et al.. (2024). RuralAI in Tomato Farming: Integrated Sensor System, Distributed Computing, and Hierarchical Federated Learning for Crop Health Monitoring. IEEE Sensors Letters. 8(5). 1–4. 14 indexed citations
12.
13.
Clifford, Ben, et al.. (2023). Maximizing Data Utility for HPC Python Workflow Execution. 637–640. 2 indexed citations
14.
Rana, Omer, Theodoros Spyridopoulos, Nathaniel Hudson, et al.. (2022). Hierarchical and Decentralised Federated Learning. ORCA Online Research @Cardiff (Cardiff University). 1–9. 10 indexed citations
15.
Huerta, E. A., Zhengchun Liu, Ryan Chard, et al.. (2022). FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy. Scientific Data. 9(1). 657–657. 27 indexed citations
16.
Rana, Omer, et al.. (2021). Greedy Nominator Heuristic: Virtual function placement on fog resources. Concurrency and Computation Practice and Experience. 34(6). 6 indexed citations
17.
Tchoua, Roselyne, Logan Ward, Kyle Chard, et al.. (2019). Active Learning Yields Better Training Data for Scientific Named Entity Recognition. 126–135. 9 indexed citations
18.
Chard, Kyle, et al.. (2018). The Modern Research Data Portal: a design pattern for networked, data-intensive science. PeerJ Computer Science. 4. e144–e144. 21 indexed citations
19.
Babuji, Yadu, Kyle Chard, Ian Foster, et al.. (2018). Parsl: Scalable parallel scripting in python. CEUR Workshop Proceedings. 2357. 19 indexed citations
20.
Ananthakrishnan, Rachana, et al.. (2016). Globus auth: A research identity and access management platform. IEEE Conference Proceedings. 2016. 212. 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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2026