Daniel S. Katz

8.8k total citations · 2 hit papers
191 papers, 3.9k citations indexed

About

Daniel S. Katz is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Daniel S. Katz has authored 191 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Networks and Communications, 101 papers in Information Systems and Management and 65 papers in Information Systems. Recurrent topics in Daniel S. Katz's work include Scientific Computing and Data Management (99 papers), Distributed and Parallel Computing Systems (88 papers) and Advanced Data Storage Technologies (43 papers). Daniel S. Katz is often cited by papers focused on Scientific Computing and Data Management (99 papers), Distributed and Parallel Computing Systems (88 papers) and Advanced Data Storage Technologies (43 papers). Daniel S. Katz collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel S. Katz's co-authors include John Good, Ewa Deelman, Allen Taflove, G. Bruce Berriman, Joseph C. Jacob, A. C. Laity, Everett Thiele, Gurmeet Singh, Carl Kesselman and Ian Foster and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Psychologist.

In The Last Decade

Daniel S. Katz

179 papers receiving 3.7k 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.

Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems

2005 844 citations Karan Vahi, Daniel S. Katz et al. profile →
Introducing the FAIR Principles for research software

2022 175 citations Michelle Barker, Neil Chue Hong et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Katz United States	28	2.3k	1.9k	1.7k	531	458	191	3.9k
Tony Hey United Kingdom	29	1.5k 0.7×	976 0.5×	1.0k 0.6×	194 0.4×	580 1.3×	152	4.6k
David Walker United Kingdom	33	2.3k 1.0×	290 0.2×	776 0.5×	353 0.7×	1.7k 3.8×	183	5.1k
John Shalf United States	37	3.9k 1.7×	444 0.2×	1.1k 0.6×	1.2k 2.3×	3.1k 6.8×	172	6.0k
Anthony Skjellum United States	25	2.2k 1.0×	143 0.1×	997 0.6×	390 0.7×	1.6k 3.6×	165	3.9k
Douglas Thain United States	25	2.5k 1.1×	1.1k 0.6×	1.4k 0.8×	61 0.1×	694 1.5×	153	3.2k
Marc Snir United States	43	4.8k 2.1×	204 0.1×	898 0.5×	942 1.8×	3.5k 7.6×	181	7.3k
Peer‐Timo Bremer United States	38	628 0.3×	184 0.1×	275 0.2×	236 0.4×	340 0.7×	198	4.8k
Mladen A. Vouk United States	30	1.5k 0.6×	270 0.1×	2.0k 1.2×	258 0.5×	132 0.3×	216	3.8k
Michael A. Heroux United States	22	787 0.3×	210 0.1×	313 0.2×	302 0.6×	758 1.7×	85	2.2k
Ewa Deelman United States	50	9.4k 4.1×	6.3k 3.2×	7.1k 4.1×	126 0.2×	1.1k 2.5×	275	11.5k

Countries citing papers authored by Daniel S. Katz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Katz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Katz. 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 Daniel S. Katz. The network helps show where Daniel S. Katz may publish in the future.

Co-authorship network of co-authors of Daniel S. Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Katz. A scholar is included among the top collaborators of Daniel S. Katz 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 Daniel S. Katz. Daniel S. Katz 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

Pérez‐Riverol, Yasset, Wout Bittremieux, William Stafford Noble, et al.. (2025). Open-Source and FAIR Research Software for Proteomics. Journal of Proteome Research. 24(5). 2222–2234. 6 indexed citations

Westner, Britta U., Daniel McCloy, Eric B. Larson, et al.. (2025). Cycling on the Freeway: The perilous state of open-source neuroscience software. Imaging Neuroscience. 3. 2 indexed citations

Döll, Petra, et al.. (2024). Software sustainability of global impact models. Geoscientific model development. 17(23). 8593–8611.

Hosseini, Mohammad, et al.. (2024). Group authorship, an excellent opportunity laced with ethical, legal and technical challenges. Accountability in Research. 32(5). 762–784. 6 indexed citations

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

Diehl, Patrick, et al.. (2024). The Journal of Open Source Software (JOSS): Bringing Open-Source Software Practices to the Scholarly Publishing Communityfor Authors, Reviewers, Editors, and Publishers. Journal of Librarianship and Scholarly Communication. 12(2).

Katz, Daniel S., et al.. (2024). A benchmark suite and performance analysis of user-space provenance collectors. 85–95.

Jensen, Eric & Daniel S. Katz. (2023). From Code to Tenure: Valuing Research Software in Academia. 2 indexed citations

Marinov, Darko, et al.. (2023). Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries. 74–84. 3 indexed citations

10.

Duarte, J., A. Roy, E. A. Huerta, et al.. (2023). FAIR AI models in high energy physics. Machine Learning Science and Technology. 4(4). 45062–45062. 3 indexed citations

11.

Lamprecht, Anna-Lena, Carlos Martínez-Ortiz, Michelle Barker, et al.. (2022). What do we (not) know about Research Software Engineering?. elib (German Aerospace Center). 1 indexed citations

12.

Godoy, William F., Ritu Arora, K. Beattie, et al.. (2022). Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship. Computing in Science & Engineering. 24(5). 6–13. 1 indexed citations

13.

Barker, Michelle, Neil Chue Hong, Daniel S. Katz, et al.. (2022). Introducing the FAIR Principles for research software. Scientific Data. 9(1). 622–622. 175 indexed citations breakdown →

14.

Huerta, E. A., Asad Khan, Edward Davis, et al.. (2020). Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. Journal Of Big Data. 7(1). 36 indexed citations

15.

Barley, William C., et al.. (2020). Understanding the multifaceted geospatial software ecosystem: a survey approach. International Journal of Geographical Information Systems. 35(11). 2168–2186. 6 indexed citations

16.

Zhang, Kaihao, Matthew Robertson, Kevin Cruse, et al.. (2020). Crowd-Sourced Data and Analysis Tools for Advancing the Chemical Vapor Deposition of Graphene: Implications for Manufacturing. ACS Applied Nano Materials. 3(10). 10144–10155. 4 indexed citations

17.

Barker, Michelle, Sílvia D. Olabarriaga, Nancy Wilkins‐Diehr, et al.. (2019). The global impact of science gateways, virtual research environments and virtual laboratories. Future Generation Computer Systems. 95. 240–248. 36 indexed citations

18.

Katz, Daniel S. & Na Hong. (2018). FAIR is not Fair Enough, Particularly for Software Citation, Availability, or Quality. AGUFM. 2018. 1 indexed citations

19.

Katz, Daniel S., Kyle E. Niemeyer, Arfon M. Smith, et al.. (2016). Software vs. data in the context of citation. 15 indexed citations

20.

Katz, Daniel S., S. Callaghan, Robert P. Harkness, et al.. (2010). Science on the TeraGrid. Computational Methods in Science and Technology. Special Issue(1). 81–97. 3 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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