James Michaelis

958 citations
37 papers · 568 · h-index 10

Impact in

Papers in

James Michaelis

36 papers receiving 540 citations

Peers

James Michaelis
Comparison fields: 5 of 73
  • Health Informatics 17
  • Management Science and Operations Research 135
  • Computer Networks and Communications 202
  • Artificial Intelligence 270
  • Information Systems and Management 49
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Countries citing papers authored by James Michaelis

Since Specialization
Citations

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

Fields of papers citing papers by James Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201185
3 201982
4 201678
5
Data-gov Wiki: Towards Linking Government Data.
201049
6 201640
7 201023
8 201623
9 201017
10 201611
11
Making Sense of Open Government Data
20107
12 20186
13 19736
14 20195
15 20195
16 20224
17 20174
18 20213
19 20193
20
Towards Usable and Interoperable Workflow Provenance: Empirical Case Studies using PML
20082

About James Michaelis

James Michaelis is a scholar working on Computer Networks and Communications, Information Systems and Management, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 37 papers that have together received 568 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Data Quality and Management (9 papers), IoT and Edge/Fog Computing (8 papers), Semantic Web and Ontologies (7 papers), Research Data Management Practices (5 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Health Informatics (17 citations), Management Science and Operations Research (135 citations), Computer Networks and Communications (202 citations), Artificial Intelligence (270 citations) and Information Systems and Management (49 citations). James Michaelis has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Deborah L. McGuinness, Li Ding, Niranjan Suri, Alvaro Graves, Dominic DiFranzo, Mauro Tortonesi, James Hendler, Tobias Höllerer, John O’Donovan and James Schaffer. Their work appears in journals such as Future Generation Computer Systems, Journal of Web Semantics, Institutional Research Information System University of Ferrara (University of Ferrara), International Semantic Web Conference and SSRN Electronic 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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