James Michaelis

935 total citations
37 papers, 561 citations indexed

About

James Michaelis is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, James Michaelis has authored 37 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 12 papers in Information Systems and Management and 12 papers in Artificial Intelligence. Recurrent topics in James Michaelis's work include Scientific Computing and Data Management (10 papers), Data Quality and Management (9 papers) and IoT and Edge/Fog Computing (8 papers). James Michaelis is often cited by papers focused on Scientific Computing and Data Management (10 papers), Data Quality and Management (9 papers) and IoT and Edge/Fog Computing (8 papers). James Michaelis collaborates with scholars based in United States, Italy and Germany. James Michaelis's co-authors include Deborah L. McGuinness, Li Ding, James Hendler, Niranjan Suri, Alvaro Graves, Dominic DiFranzo, Mauro Tortonesi, John O’Donovan, James Schaffer and Tobias Höllerer and has published in prestigious journals such as Future Generation Computer Systems, Journal of Web Semantics and Institutional Research Information System University of Ferrara (University of Ferrara).

In The Last Decade

James Michaelis

36 papers receiving 534 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Michaelis 268 202 155 135 75 37 561
Fariba Sadri 751 2.8× 242 1.2× 126 0.8× 104 0.8× 135 1.8× 38 1.1k
Jesús Arias Fisteus 185 0.7× 102 0.5× 134 0.9× 64 0.5× 35 0.5× 33 455
Stefan Schlobach 960 3.6× 161 0.8× 368 2.4× 115 0.9× 17 0.2× 83 1.1k
Wamberto Vasconcelos 533 2.0× 126 0.6× 160 1.0× 117 0.9× 9 0.1× 84 706
Anastasia Dimou 363 1.4× 132 0.7× 170 1.1× 142 1.1× 16 0.2× 67 534
Christos Kalloniatis 269 1.0× 154 0.8× 498 3.2× 35 0.3× 19 0.3× 77 850
Michael Wooldridge 705 2.6× 154 0.8× 99 0.6× 267 2.0× 15 0.2× 14 930
Javier Vázquez-Salceda 275 1.0× 123 0.6× 164 1.1× 94 0.7× 5 0.1× 51 560
Muhammad Mudassar Yamin 183 0.7× 191 0.9× 251 1.6× 25 0.2× 17 0.2× 38 597
Evangelos Sakkopoulos 228 0.9× 268 1.3× 398 2.6× 25 0.2× 14 0.2× 83 680

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-authorship network of co-authors of James Michaelis

This figure shows the co-authorship network connecting the top 25 collaborators of James Michaelis. A scholar is included among the top collaborators of James Michaelis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Michaelis. James Michaelis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Michaelis, James, et al.. (2022). Connecting the Battlespace: C2 and IoT Technical Interoperability in Tactical Federated Environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1045–1052. 4 indexed citations
2.
Michaelis, James. (2020). Explanation systems for supporting IoBT-based C5ISR applications. 57–57. 1 indexed citations
3.
Ciocarlie, Gabriela, et al.. (2019). Application of Trust Assessment Techniques to IoBT Systems. 833–840. 2 indexed citations
4.
Schaffer, James, et al.. (2019). I can do better than your AI. 240–251. 78 indexed citations
5.
Ciocarlie, Gabriela, et al.. (2019). Security for Resilient IoBT Systems: Emerging Research Directions. 1–6. 5 indexed citations
6.
Jalaian, Brian, et al.. (2018). On Stream-Centric Learning for Internet of Battlefield Things.. National Conference on Artificial Intelligence. 1 indexed citations
7.
Ciocarlie, Gabriela, et al.. (2018). Risks and Benefits of Side-Channels in Battlefields. 2290–2297. 2 indexed citations
8.
Lee, Hyungtae, et al.. (2016). Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification.. arXiv (Cornell University). 1 indexed citations
9.
Tortonesi, Mauro, James Michaelis, Alessandro Morelli, Niranjan Suri, & Michael A. Baker. (2016). SPF: An SDN-based middleware solution to mitigate the IoT information explosion. Institutional Research Information System University of Ferrara (University of Ferrara). 435–442. 23 indexed citations
10.
Michaelis, James. (2016). Classification of user interfaces for graph-based online analytical processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9851. 98510P–98510P. 1 indexed citations
11.
Sayogo, Djoko Sigit, Joanne Luciano, James Michaelis, et al.. (2013). A preliminary ontology for tracking certification systems. 267–268. 1 indexed citations
12.
Michaelis, James, et al.. (2012). Applying multidimensional navigation and explanation in semantic dataset summarization. International Semantic Web Conference. 89–92. 1 indexed citations
13.
Ding, Li, Timothy Lebo, John Erickson, et al.. (2011). TWC LOGD: A Portal for Linked Open Government Data Ecosystems. SSRN Electronic Journal. 85 indexed citations
14.
Ding, Li, Dominic DiFranzo, Alvaro Graves, et al.. (2010). Data-gov Wiki: Towards Linking Government Data.. National Conference on Artificial Intelligence. 48 indexed citations
15.
McGuinness, Deborah L., James Michaelis, & Luc Moreau. (2010). Provenance and annotation of data and processes : Third International Provenance and Annotation Workshop, IPAW 2010, Troy, N.Y., U.S.A., June 15 - 16, 2010 : revised selected papers. Springer eBooks. 1 indexed citations
16.
Ding, Li, Deborah L. McGuinness, James Michaelis, & James Hendler. (2010). Making Sense of Open Government Data. 7 indexed citations
17.
Ding, Li, Dominic DiFranzo, Alvaro Graves, et al.. (2010). TWC data-gov corpus. 1383–1386. 23 indexed citations
18.
Michaelis, James, Li Ding, & Deborah L. McGuinness. (2009). Towards the Explanation of Workflows.. 60–71. 1 indexed citations
19.
Michaelis, James, Li Ding, & Deborah L. McGuinness. (2008). The TW wine agent: a social semantic web demo. International Semantic Web Conference. 153–154. 1 indexed citations
20.
Michaelis, James, et al.. (2008). Towards Usable and Interoperable Workflow Provenance: Empirical Case Studies using PML. International Semantic Web Conference. 23–28. 2 indexed citations

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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