Samuel Rippa

859 citations
5 papers · 594 · h-index 5

Impact in

Papers in

Samuel Rippa

5 papers receiving 540 citations

Peers

Samuel Rippa
Comparison fields: 5 of 66
  • Computer Graphics and Computer-Aided Design 204
  • Statistics, Probability and Uncertainty 86
  • Computational Theory and Mathematics 162
  • Computational Mechanics 199
  • Management Science and Operations Research 79
Replace Jamshid A. Samareh with:
Jamshid A. Samareh United States
Brenda Kulfan United States
Leonid G. Khachiyan United States
Bas van Stein Netherlands
P. A. Henne United States
E. Andrés Spain
Lori Freitag United States
Chuck Baker United States
Jens‐Dominik Müller United Kingdom
Samuel Rippa relative to Jamshid A. Samareh United States Jamshid A. Samareh's profile →
Citations per field
00.5×3.4×
Jamshid A. Samareh · 1×
Citations per year

Countries citing papers authored by Samuel Rippa

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Rippa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Samuel Rippa, 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 Samuel Rippa Line = papers co-authored together Samuel Rippa links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 1986323
2 1990156
3 199098
4 199011
5 19926

About Samuel Rippa

Samuel Rippa is a scholar working on Computational Mechanics, Mechanics of Materials, Computer Graphics and Computer-Aided Design, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (3 papers), Numerical methods in engineering (2 papers), Computational Geometry and Mesh Generation (2 papers), Electromagnetic Simulation and Numerical Methods (1 paper), Electromagnetic Scattering and Analysis (1 paper), Advanced Optimization Algorithms Research (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (204 citations), Statistics, Probability and Uncertainty (86 citations), Computational Theory and Mathematics (162 citations), Computational Mechanics (199 citations) and Management Science and Operations Research (79 citations). Samuel Rippa has collaborated with scholars based in Israel. Frequent co-authors include Nira Dyn, David I. W. Levin, David Levin and B. Schiff. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computer Aided Geometric Design, IMA Journal of Numerical Analysis, Journal of Computational and Applied Mathematics and SIAM Journal on Scientific and Statistical Computing.

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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