Richard McCreadie
About
In The Last Decade
Richard McCreadie
64 papers receiving 837 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 515
- Information Systems 415
- Statistical and Nonlinear Physics 154
- Sociology and Political Science 127
- Computer Networks and Communications 119
Countries citing papers authored by Richard McCreadie
This map shows the geographic impact of Richard McCreadie'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 Richard McCreadie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard McCreadie more than expected).
Fields of papers citing papers by Richard McCreadie
This network shows the impact of papers produced by Richard McCreadie. 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 Richard McCreadie. The network helps show where Richard McCreadie may publish in the future.
Co-authorship network of co-authors of Richard McCreadie
This figure shows the co-authorship network connecting the top 25 collaborators of Richard McCreadie. A scholar is included among the top collaborators of Richard McCreadie 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 Richard McCreadie. Richard McCreadie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | Incident Streams 2020: TREC-IS in the Time of COVID-19 | 1 |
| 7 | 4 | |
| 8 | TREC Incident Streams: Finding Actionable Information on Social Media | 22 |
| 9 | 7 | |
| 10 | Overview of the TREC 2016 Real-Time Summarization Track. | 12 |
| 11 | University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks | 3 |
| 12 | TREC 2014 Temporal Summarization Track Overview | 37 |
| 13 | University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. | 1 |
| 14 | University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks | 6 |
| 15 | From Puppy to Maturity: Experiences in Developing Terrier. | 70 |
| 16 | University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks | 16 |
| 17 | University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks | 10 |
| 18 | University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web Tracks. | 14 |
| 19 | Comparing Distributed Indexing: To MapReduce or Not? | 18 |
| 20 | University of Glasgow at TREC 2009: Experiments with Terrier | 30 |
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.