James Michaelis
About
In The Last Decade
James Michaelis
36 papers receiving 534 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 268
- Computer Networks and Communications 202
- Information Systems 155
- Management Science and Operations Research 135
- Political Science and International Relations 75
Countries citing papers authored by James Michaelis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 78 | |
| 5 | 5 | |
| 6 | On Stream-Centric Learning for Internet of Battlefield Things. | 1 |
| 7 | 2 | |
| 8 | Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. | 1 |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Applying multidimensional navigation and explanation in semantic dataset summarization | 1 |
| 13 | 85 | |
| 14 | Data-gov Wiki: Towards Linking Government Data. | 48 |
| 15 | 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 | 1 |
| 16 | 23 | |
| 17 | Towards the Explanation of Workflows. | 1 |
| 18 | Towards Usable and Interoperable Workflow Provenance: Empirical Case Studies using PML | 2 |
| 19 | The TW wine agent: a social semantic web demo | 1 |
| 20 | 6 |
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.