Mike Folk

792 citations
20 papers · 461 · h-index 8

Impact in

Papers in

Mike Folk

18 papers receiving 441 citations

Peers

Mike Folk
Comparison fields: 5 of 94
  • Hardware and Architecture 68
  • Information Systems and Management 59
  • Computer Networks and Communications 153
  • Computer Science Applications 22
  • Structural Biology 4
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Citations per field
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Citations per year

Countries citing papers authored by Mike Folk

Since Specialization
Citations

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

Fields of papers citing papers by Mike Folk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mike Folk, 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 Mike Folk Line = papers co-authored together Mike Folk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011290
2 199339
3 198134
4
Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling
200527
5 200316
6 201015
7 201011
8 19859
9
Attributes of File Formats for Long-Term Preservation of Scientific and Engineering Data in Digital Libraries
20035
10 20053
11 20083
12
A Community-Developed Measurement of the Reusability of Software Through Reuse Readiness Levels
20072
13 20192
14
Java, Image Browsing, and the NCSA Astronomy Digital Image Library
19971
15 19931
16
The AstroHDF Effort
20121
17
Big HDF FAQs
20141
18
Convert: Bridging the Scientific Data Format Chasm
19951
19
ACCESSING HDF DATA VIA OPENDAP
20090
20 19800

About Mike Folk

Mike Folk is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Molecular Biology, having authored 20 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Scientific Computing and Data Management (3 papers), Advanced Computational Techniques and Applications (2 papers), Computational Physics and Python Applications (2 papers), Software Engineering Research (2 papers), Research Data Management Practices (2 papers), Environmental Monitoring and Data Management (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Hardware and Architecture (68 citations), Information Systems and Management (59 citations), Computer Networks and Communications (153 citations), Computer Science Applications (22 citations) and Structural Biology (4 citations). Mike Folk has collaborated with scholars based in United States, Bulgaria and Türkiye. Frequent co-authors include Elena Pourmal, Dana Robinson, Gerd Heber, Quincey Koziol, Paul F. Dubois, R. K. Rew, Stewart A. Brown, Momcilo Markus, Jay Alameda and Praveen Kumar. Their work appears in journals such as Computers in Physics, Computing in Science & Engineering, Advances in experimental medicine and biology, IEEE Transactions on Geoscience and Remote Sensing and ASPC.

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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