Chad Berkley

2.4k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Chad Berkley is a scholar working on Information Systems and Management, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chad Berkley has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems and Management, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Chad Berkley's work include Scientific Computing and Data Management (9 papers), Semantic Web and Ontologies (5 papers) and Distributed and Parallel Computing Systems (4 papers). Chad Berkley is often cited by papers focused on Scientific Computing and Data Management (9 papers), Semantic Web and Ontologies (5 papers) and Distributed and Parallel Computing Systems (4 papers). Chad Berkley collaborates with scholars based in United States and Australia. Chad Berkley's co-authors include Matthew B. Jones, Bertram Ludäscher, İlkay Altıntaş, Jing Tao, Yang Zhao, Edward A. Lee, Stephen Mock, Mark Schildhauer, Shawn Bowers and Joshua S. Madin and has published in prestigious journals such as IEEE Internet Computing, Concurrency and Computation Practice and Experience and PubMed.

In The Last Decade

Chad Berkley

9 papers receiving 1.5k 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.

Scientific workflow management and the Kepler system

2005 1.1k citations Bertram Ludäscher, İlkay Altıntaş et al. Concurrency and Computation Practice and Experience profile →

Peers

Chad Berkley

ISM

CNC

IS

AI

MB

Jing Tao United States

Marta Mattoso Brazil

Stian Soiland‐Reyes United Kingdom

Khalid Belhajjame United Kingdom

Martin Senger United Kingdom

Darren Marvin United Kingdom

Matthew Addis United Kingdom

Beth Plale United States

Justin Ferris United Kingdom

Jiten Bhagat United Kingdom

Jing Tao United States

Chad Berkley

938 ×0.7

ISM

845 ×0.8

CNC

564 ×0.7

IS

117 ×0.6

AI

82 ×0.6

MB

Citations per year, relative to Chad Berkley Chad Berkley (= 1×) peers Jing Tao

Countries citing papers authored by Chad Berkley

Since Specialization

Citations

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

Fields of papers citing papers by Chad Berkley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Berkley

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

All Works

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10 of 10 papers shown

1.

Berkley, Chad, Shawn Bowers, Matthew B. Jones, Joshua S. Madin, & Mark Schildhauer. (2009). Improving Data Discovery for Metadata Repositories through Semantic Search. 1152–1159. 17 indexed citations

2.

Wang, Jianwu, İlkay Altıntaş, Parviez R. Hosseini, et al.. (2009). Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. Maryland Shared Open Access Repository (USMAI Consortium). 267–274. 8 indexed citations

3.

Wang, Jianwu, et al.. (2008). A High-Level Distributed Execution Framework for Scientific Workflows. Maryland Shared Open Access Repository (USMAI Consortium). 30. 634–639. 4 indexed citations

4.

Berkley, Chad, Shawn Bowers, Matthew B. Jones, et al.. (2005). Incorporating semantics in scientific workflow authoring. 75–78. 38 indexed citations

5.

Ludäscher, Bertram, İlkay Altıntaş, Chad Berkley, et al.. (2005). Scientific workflow management and the Kepler system. Concurrency and Computation Practice and Experience. 18(10). 1039–1065. 1060 indexed citations breakdown →

6.

Altıntaş, İlkay, et al.. (2004). Kepler: an extensible system for design and execution of scientific workflows. 284 indexed citations

7.

Berkley, Chad, et al.. (2003). Managing heterogeneous ecological data using Morpho. 69–76. 33 indexed citations

8.

Berkley, Chad, et al.. (2002). Metacat: a schema-independent XML database system. 171–179. 36 indexed citations

9.

Jones, Matthew B., et al.. (2001). Managing scientific metadata. IEEE Internet Computing. 5(5). 59–68. 94 indexed citations

10.

Berkley, Chad. (1996). CASE HISTORIES--AN UNTAPPED MEDICAL INFORMATION RESOURCE.. PubMed. 4. SUPPL:4–5.

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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