Matthew Connolly
- Statistics, Probability and Uncertainty top 1%
- Information Systems top 5%
- Information Systems and Management top 5%
- Organic Chemistry
- Toxicology top 5%
- Co-authors
- Philip M. DavisDaniel H. SimonBruce V. LewensteinPaul M. DavisJames G. BoothTimothy J. DonohoeJoseph P. A. HarrityBenjamin D. W. Allen
- Topics
- Cannabis and Cannabinoid Research (5 papers)Forensic Toxicology and Drug Analysis (4 papers)Asymmetric Synthesis and Catalysis (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Matthew Connolly
12 papers receiving 494 citations
Peers
Comparison fields: 5 of 97
- Statistics, Probability and Uncertainty 270
- Information Systems 174
- Information Systems and Management 133
- Organic Chemistry 77
- Toxicology 45
Countries citing papers authored by Matthew Connolly
This map shows the geographic impact of Matthew Connolly'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 Matthew Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Connolly more than expected).
Fields of papers citing papers by Matthew Connolly
This network shows the impact of papers produced by Matthew Connolly. 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 Matthew Connolly. The network helps show where Matthew Connolly may publish in the future.
Co-authorship network of co-authors of Matthew Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Connolly. A scholar is included among the top collaborators of Matthew Connolly 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 Matthew Connolly. Matthew Connolly 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 | 10 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 30 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 30 | |
| 12 | 269 | |
| 13 | Institutional Repositories: Evaluating the Reasons for Non-use of Cornell University's Installation of DSpace | 145 |
About Matthew Connolly
Matthew Connolly is a scholar working on Toxicology, Pharmacology and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 563 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Forensic Toxicology and Drug Analysis (4 papers) and Asymmetric Synthesis and Catalysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (270 citations), Information Systems and Management (133 citations) and Toxicology (45 citations). Matthew Connolly has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Philip M. Davis, Daniel H. Simon, Bruce V. Lewenstein, Paul M. Davis, James G. Booth, Timothy J. Donohoe, Joseph P. A. Harrity, Benjamin D. W. Allen, Huiling Liu and Christophe P. Stove. Their work appears in journals such as Chemistry - A European Journal, Organic Letters and Chemistry - An Asian Journal.
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.