Lawrence H. Cox
- Artificial Intelligence top 5%
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Sociology and Political Science
- Environmental Engineering top 10%
- Co-authors
- Walter W. PiegorschRichard L. SmithDouglas NychkaAlan F. KarrStanislav KolenikovSatkartar K. KinneyJerome P. ReiterQuanli Wang
- Topics
- Statistical Methods and Bayesian Inference (9 papers)Air Quality and Health Impacts (5 papers)Bayesian Methods and Mixture Models (5 papers)
- Cited by
- Statistics and ProbabilityArtificial IntelligenceManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Geophysical Research AtmospheresJournal of the American Statistical Association
- Partner nations
- United StatesIndiaNew Zealand
In The Last Decade
Lawrence H. Cox
36 papers receiving 734 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 366
- Statistics and Probability 188
- Management Science and Operations Research 119
- Sociology and Political Science 106
- Environmental Engineering 106
Countries citing papers authored by Lawrence H. Cox
This map shows the geographic impact of Lawrence H. Cox'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 Lawrence H. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence H. Cox more than expected).
Fields of papers citing papers by Lawrence H. Cox
This network shows the impact of papers produced by Lawrence H. Cox. 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 Lawrence H. Cox. The network helps show where Lawrence H. Cox may publish in the future.
Co-authorship network of co-authors of Lawrence H. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence H. Cox. A scholar is included among the top collaborators of Lawrence H. Cox 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 Lawrence H. Cox. Lawrence H. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 27 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 20 | |
| 7 | 53 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 31 | |
| 11 | 50 | |
| 12 | 15 | |
| 13 | 67 | |
| 14 | 1 | |
| 15 | 49 | |
| 16 | 3 | |
| 17 | 149 | |
| 18 | Confidentiality Problems in Microdata Release | 1 |
| 19 | Formal $A$-modules over $p$-adic integer rings | 1 |
| 20 | 2 |
About Lawrence H. Cox
Lawrence H. Cox is a scholar working on Statistics and Probability, Algebra and Number Theory and Artificial Intelligence, having authored 41 papers that have together received 821 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Air Quality and Health Impacts (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (188 citations), Artificial Intelligence (366 citations) and Management Science and Operations Research (119 citations). Lawrence H. Cox has collaborated with scholars based in United States, India and New Zealand. Frequent co-authors include Walter W. Piegorsch, Richard L. Smith, Douglas Nychka, Alan F. Karr, Stanislav Kolenikov, Satkartar K. Kinney, Jerome P. Reiter, Quanli Wang, Dennis D. Cox and Katherine B. Ensor. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.
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.