James Michaelis

958 citations
44 papers · 753 · h-index 12

Impact in

Papers in

James Michaelis

43 papers receiving 702 citations

Peers

James Michaelis
Comparison fields: 5 of 88
  • Management Science and Operations Research 194
  • Health Informatics 18
  • Information Systems and Management 88
  • Artificial Intelligence 372
  • Computer Networks and Communications 240
Replace Lisa Ehrlinger with:
Lisa Ehrlinger Austria
Trung Dong Huynh United Kingdom
Paolo Viappiani France
José Emilio Labra Gayo United States
Axel Polleres United States
Lukas Schmelzeisen Germany
Corinna Breitinger Germany
Caleb Chen Cao Hong Kong
Lucian Popa United States
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Citations per field
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Citations per year

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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011113
2 2011107
3 201985
4 201685
5
Data-gov Wiki: Towards Linking Government Data.
201060
6 201644
7 201037
8 201625
9 201023
10 197323
11 201122
12 201118
13 201611
14 201710
15 20109
16 20108
17
Making Sense of Open Government Data
20108
18 19737
19 20186
20 20196

About James Michaelis

James Michaelis is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems and Management, Information Systems and Management Science and Operations Research, having authored 44 papers that have together received 753 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (14 papers), Semantic Web and Ontologies (11 papers), Data Quality and Management (9 papers), IoT and Edge/Fog Computing (9 papers), Research Data Management Practices (7 papers), Energy Efficient Wireless Sensor Networks (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Management Science and Operations Research (194 citations), Health Informatics (18 citations), Information Systems and Management (88 citations), Artificial Intelligence (372 citations) and Computer Networks and Communications (240 citations). James Michaelis has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Deborah L. McGuinness, Li Ding, Alvaro Graves, Dominic DiFranzo, Niranjan Suri, Mauro Tortonesi, James Hendler, John Erickson, Gregory Todd Williams and Jin Zheng. Their work appears in journals such as Journal of Web Semantics, Future Generation Computer Systems, Lecture notes in computer science, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering and National Conference on Artificial Intelligence.

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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