John Kunze

2.2k citations
40 papers · 1000 · h-index 11

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

35 papers receiving 889 citations

Peers

John Kunze
Comparison fields: 5 of 87
  • Hardware and Architecture 271
  • Computer Networks and Communications 666
  • Information Systems and Management 147
  • Information Systems 273
  • 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985424
2 1985227
3 201169
4 201543
5 201937
6 201833
7 201022
8
Towards Electronic Persistence Using ARK Identifiers
200321
9 200915
10 202214
11 202111
12 201410
13 200510
14
A Metadata Kernel for Electronic Permanence
20069
15
Practices, Trends, and Recommendations in Technical Appendix Usage for Selected Data-Intensive Disciplines
20117
16 20136
17 20005
18 20174
19 19964
20
Future-Proofing the Web: What We Can Do Today.
20053

About John Kunze

John Kunze is a scholar working on Information Systems, Information Systems and Management, Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 40 papers that have together received 1000 indexed citations. Recurring topics across this work include Research Data Management Practices (18 papers), Scientific Computing and Data Management (14 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (7 papers), Digital and Traditional Archives Management (4 papers), Library Science and Information Systems (3 papers), Advanced Data Storage Technologies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Hardware and Architecture (271 citations), Computer Networks and Communications (666 citations), Information Systems and Management (147 citations), Information Systems (273 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, James G. Thompson, John K. Ousterhout, Greg Janée, Stephen L. Abrams, Todd Vision, Dave Vieglais, William K. Michener, Nick Juty and Tim W. Clark. Their work appears in journals such as D-Lib Magazine, Data Intelligence, Scientific Data, ZooKeys and GigaScience.

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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