Lawrence C. Rafsky

975 citations
6 papers · 599 indexed · h-index 6
Topics
Advanced Statistical Methods and Models (4 papers)Economic and Environmental Valuation (1 paper)Risk and Portfolio Optimization (1 paper)
Partner nations
United States

In The Last Decade

Lawrence C. Rafsky

6 papers receiving 553 citations

Peers

Lawrence C. Rafsky
Comparison fields: 5 of 103
  • Artificial Intelligence 232
  • Statistics and Probability 221
  • Computer Vision and Pattern Recognition 95
  • Signal Processing 69
  • Management Science and Operations Research 63
Replace Edward Silverman with:
Edward Silverman United States
Anthony Brockwell United States
Makoto Aoshima Japan
Herbert A. David United States
Adolfo J. Quiróz Venezuela
Onureena Banerjee United States
Cun-Hui Zhang United States
John G. Saw United States
N. Turkkan Canada
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Lawrence C. Rafsky relative to Edward Silverman United States Edward Silverman's profile →
Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Lawrence C. Rafsky

Since Specialization
Citations

This map shows the geographic impact of Lawrence C. Rafsky'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 C. Rafsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence C. Rafsky more than expected).

Fields of papers citing papers by Lawrence C. Rafsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence C. Rafsky. 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 C. Rafsky. The network helps show where Lawrence C. Rafsky may publish in the future.

Co-authorship network of co-authors of Lawrence C. Rafsky

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence C. Rafsky. A scholar is included among the top collaborators of Lawrence C. Rafsky 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 C. Rafsky. Lawrence C. Rafsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 64
2 37
3 17
4 425
5 41
6 15

About Lawrence C. Rafsky

Lawrence C. Rafsky is a scholar working on General Decision Sciences, Statistics and Probability and Management Science and Operations Research, having authored 6 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Economic and Environmental Valuation (1 paper) and Risk and Portfolio Optimization (1 paper). The work is most often cited by research in Statistics and Probability (221 citations), Artificial Intelligence (232 citations) and Signal Processing (69 citations). Lawrence C. Rafsky has collaborated with scholars based in United States. Frequent co-authors include Jerome H. Friedman, Vijay S. Bawa, Roger Klein, David S. Sibley and Robert D. Willig. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Management Science.

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.

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