Michael S. Warren

5.9k total citations
77 papers, 3.3k citations indexed

About

Michael S. Warren is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael S. Warren has authored 77 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 17 papers in Computer Networks and Communications and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael S. Warren's work include Galaxies: Formation, Evolution, Phenomena (23 papers), Scientific Research and Discoveries (13 papers) and Remote Sensing in Agriculture (13 papers). Michael S. Warren is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (23 papers), Scientific Research and Discoveries (13 papers) and Remote Sensing in Agriculture (13 papers). Michael S. Warren collaborates with scholars based in United States, United Kingdom and Canada. Michael S. Warren's co-authors include John K. Salmon, D. E. Holz, Wojciech H. Zurek, Peter J. Quinn, Kevork N. Abazajian, L. F. A. Teodoro, Chris L. Fryer, Uroš Seljak, David H. Weinberg and Grégoire Winckelmans and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Michael S. Warren

75 papers receiving 3.1k citations

Peers

Michael S. Warren
Comparison fields: 5 of 91
  • Astronomy and Astrophysics 2.0k
  • Instrumentation 772
  • Nuclear and High Energy Physics 505
  • Statistical and Nonlinear Physics 424
  • Computational Mechanics 393
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Citations per field, relative to Michael S. Warren
Michael S. Warren · 1×
Citations per year, relative to Michael S. Warren
Michael S. Warren · 1×

Countries citing papers authored by Michael S. Warren

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Warren. 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 Michael S. Warren. The network helps show where Michael S. Warren may publish in the future.

Co-authorship network of co-authors of Michael S. Warren

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 40
4
A Platform for Scalable Satellite and Geospatial Data Analysis
3
5 7
6 2
7 45
8 74
9
A One Hundred Million SPH Particle Simulation of the Moon Forming Impact
1
10 15
11 228
12 3
13 56
14 27
15
I'm Not Going to Pay a Lot for This Supercomputer!
5
16
The fast solution of three-dimensional fluid dynamical N-body problems using parallel tree codes: Vortex element method and boundary element method
11
17 4
18
Fast Parallel Treecodes for Gravitational and Fluid Dynamical N-body Problems
37
19 114
20
FOREST: A Parallel Treecode for Gravitational N-Body Simulations with up to 20 Million Particles
2

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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