Murray Wolinsky

30 papers receiving 1.4k citations

Murray Wolinsky's Hit Papers

Computational Improvements Reveal Great Bacterial Diversity and High Metal Toxicity in Soil 2005 · 947 citations
9470+7+14Years since publication250500750

Peers

Murray Wolinsky
Comparison fields: 5 of 131
  • Soil Science 232
  • Ecology 536
  • Pollution 119
  • Computer Graphics and Computer-Aided Design 31
  • Molecular Biology 520
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Countries citing papers authored by Murray Wolinsky

Since Specialization
Citations

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

Fields of papers citing papers by Murray Wolinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray Wolinsky. 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 Murray Wolinsky. The network helps show where Murray Wolinsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Murray Wolinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murray Wolinsky Line = papers co-authored together Murray Wolinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational Improvements Reveal Great Bacterial Diversity and High Metal Toxicity in Soil
Hit paper breakdown →
2005947
2 1988152
3 198856
4 200447
5 200833
6
ROAMing Terrain: Real-time Optimally Adapting Meshes
201433
7 200531
8 200528
9 201222
10 198520
11 200919
12 200417
13
Emergent Local Control Properties in Particle Hopping Traffic Simulations
199513
14 201912
15 201010
16 19889
17 20078
18 20127
19 20066
20 20066

About Murray Wolinsky

Murray Wolinsky is a scholar working on Artificial Intelligence, Molecular Biology, Ecology, Atomic and Molecular Physics, and Optics and Economics and Econometrics, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum optics and atomic interactions (4 papers), Quantum Information and Cryptography (4 papers), Microbial Community Ecology and Physiology (4 papers), Complex Systems and Time Series Analysis (3 papers), Genomics and Phylogenetic Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Soil Science (232 citations), Ecology (536 citations), Pollution (119 citations), Computer Graphics and Computer-Aided Design (31 citations) and Molecular Biology (520 citations). Murray Wolinsky has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jason Gans, John Dunbar, H. J. Carmichael, Melvin J. Hinich, Jian Song, Carol A. Bonner, Roy A. Jensen, Charles G. Aldrich, Mark A. Duchaineau and Jian Song. Their work appears in journals such as Science, Journal of the American Statistical Association, Nucleic Acids Research, Forensic Science International and Advances in experimental medicine and biology.

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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