John Kunze

2.2k citations
38 papers · 928 indexed · h-index 10

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Caching and Content Delivery
    • Distributed and Parallel Computing Systems
    • Peer-to-Peer Network Technologies

Papers in

John Kunze

33 papers receiving 818 citations

Peers

John Kunze
Comparison fields: 5 of 91
  • Hardware and Architecture 255
  • Computer Networks and Communications 627
  • Information Systems and Management 132
  • Information Systems 251
  • Conservation 34
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Citations per field
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Citations per year

Countries citing papers authored by John Kunze

Since Specialization
Citations

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

Fields of papers citing papers by John Kunze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Kunze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Kunze Line = papers co-authored together John Kunze links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985404
2 1985216
3 201164
4 201539
5 201931
6 201828
7
Towards Electronic Persistence Using ARK Identifiers
200318
8 201018
9 200915
10 202214
11 20219
12 20059
13 20148
14
A Metadata Kernel for Electronic Permanence
20067
15 20137
16
Practices, Trends, and Recommendations in Technical Appendix Usage for Selected Data-Intensive Disciplines
20116
17 20005
18 19964
19 20174
20
Future-Proofing the Web: What We Can Do Today.
20053

About John Kunze

John Kunze is a scholar working on Information Systems and Management, Conservation, Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 38 papers that have together received 928 indexed citations. Recurring topics across this work include Research Data Management Practices (17 papers), Scientific Computing and Data Management (13 papers), Semantic Web and Ontologies (8 papers), Data Quality and Management (7 papers), Digital and Traditional Archives Management (4 papers), Library Science and Information Systems (3 papers), Digital Humanities and Scholarship (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Hardware and Architecture (255 citations), Computer Networks and Communications (627 citations), Information Systems and Management (132 citations), Information Systems (251 citations) and Conservation (34 citations). John Kunze has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include David Harrison, John K. Ousterhout, James G. Thompson, Greg Janée, Stephen L. Abrams, Dave Vieglais, William K. Michener, Todd Vision, Tim W. Clark and Sarala Wimalaratne. Their work appears in journals such as D-Lib Magazine, Scientific Data, Data Intelligence, GigaScience and Data Science Journal.

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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