Steve Abbott

41 papers receiving 1.3k citations

Hit Papers

Partial Differential Equations1.1k19992026200820172505007501000

Peers

Steve Abbott
Comparison fields: 5 of 120
  • Applied Mathematics 371
  • Mathematical Physics 278
  • Numerical Analysis 132
  • Computational Theory and Mathematics 368
  • Modeling and Simulation 107
Replace Harold R. Parks with:
Harold R. Parks United States
J. Gillis United States
Jacques Hadamard France
Mark A. Pinsky United States
G.-C Rota United States
Jean‐David Benamou France
G. Birkhoff United States
Giovanni Bellettini Italy
Gustav Doetsch Germany
R. M. Redheffer United States
Steve Abbott relative to Harold R. Parks United States Harold R. Parks's profile →
Citations per field
00.5×4.1×
Harold R. Parks · 1×
Citations per year

Countries citing papers authored by Steve Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Steve Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Steve Abbott, 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 Steve Abbott Line = papers co-authored together Steve Abbott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20025
2 20024
3 200263
4 20029
5 20001
6 19991
7 19990
8
Partial Differential Equationsbreakdown →
19991070
9 19991
10 19991
11 199935
12 199910
13 19990
14 19982
15 199815
16 19981
17 19971
18 19963
19 19953
20 19952

About Steve Abbott

Steve Abbott is a scholar working on Theoretical Computer Science, Geometry and Topology and History and Philosophy of Science, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (6 papers), History and Theory of Mathematics (4 papers), Optimal Power Flow Distribution (4 papers), Superconducting Materials and Applications (4 papers), Microgrid Control and Optimization (4 papers), Magnetic confinement fusion research (3 papers), Mathematics and Applications (3 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Applied Mathematics (371 citations), Mathematical Physics (278 citations) and Numerical Analysis (132 citations). Steve Abbott has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Lawrence C. Evans, Günter M. Ziegler, Martin Aigner, C. M. Lyneis, M. Leitner, D. John Morrow, M. Galloway, Louis Nirenberg, D. S. Todd and Tian-Xiao He. Their work appears in journals such as Review of Scientific Instruments, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Physica Scripta, Journal of Direct Data and Digital Marketing Practice and The Mathematical Gazette.

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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