Adam Bermingham
About
In The Last Decade
Adam Bermingham
12 papers receiving 684 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 488
- Sociology and Political Science 185
- Information Systems 168
- Statistical and Nonlinear Physics 115
- Communication 98
Countries citing papers authored by Adam Bermingham
This map shows the geographic impact of Adam Bermingham'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 Adam Bermingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Bermingham more than expected).
Fields of papers citing papers by Adam Bermingham
This network shows the impact of papers produced by Adam Bermingham. 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 Adam Bermingham. The network helps show where Adam Bermingham may publish in the future.
Co-authorship network of co-authors of Adam Bermingham
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Bermingham. A scholar is included among the top collaborators of Adam Bermingham 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 Adam Bermingham. Adam Bermingham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Using Twitter for public health infoveillance: a feasibility study | 2 |
| 3 | 78 | |
| 4 | 8 | |
| 5 | On Using Twitter to Monitor Political Sentiment and Predict Election Results | 226 |
| 6 | 210 | |
| 7 | Crowdsourced real-world sensing: sentiment analysis and the real-time web | 4 |
| 8 | Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs | 16 |
| 9 | 98 | |
| 10 | 86 | |
| 11 | 20 | |
| 12 | DCU at the TREC 2008 Blog Track | 5 |
| 13 | 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.