Daniel S. Katz

8.8k citations
191 papers · 3.9k indexed · 2 hit papers · h-index 28
Topics
Scientific Computing and Data Management (99 papers)Distributed and Parallel Computing Systems (88 papers)Advanced Data Storage Technologies (43 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAmerican Psychologist

In The Last Decade

Daniel S. Katz

179 papers receiving 3.7k citations

Hit Papers

Pegasus: A Framework for Mapping Complex Scientific Workf...200520262012201920052022250500750

Peers

Daniel S. Katz
Comparison fields: 5 of 160
  • Computer Networks and Communications 2.3k
  • Information Systems and Management 1.9k
  • Information Systems 1.7k
  • Electrical and Electronic Engineering 531
  • Hardware and Architecture 458
Replace Tony Hey with:
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Ewa Deelman United States
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Daniel S. Katz relative to Tony Hey United Kingdom Tony Hey's profile →
Citations per field
00.5×3.5×
Tony Hey · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 6
2 2
3 0
4 6
5 2
6 0
7 0
8 2
9 3
10 3
11 1
12 1
13
Introducing the FAIR Principles for research softwarebreakdown →
175
14 36
15 6
16 4
17 36
18
FAIR is not Fair Enough, Particularly for Software Citation, Availability, or Quality
1
19 15
20 3

About Daniel S. Katz

Daniel S. Katz is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 191 papers that have together received 3.9k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (99 papers), Distributed and Parallel Computing Systems (88 papers) and Advanced Data Storage Technologies (43 papers). The work is most often cited by research in Information Systems and Management (1.9k citations), Computer Networks and Communications (2.3k citations) and Information Systems (1.7k citations). Daniel S. Katz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Psychologist.

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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