David Schultz
- Computational Mechanics top 5%
- Surgery
- Biomedical Engineering
- Numerical Analysis top 10%
- Fluid Flow and Transfer Processes top 10%
- Co-authors
- Daniel S. GreenspanWilliam T. C. YuhThomas J. BarloonHervey D. SegallDonald GreenspanJamshid AhmadiSteven L. GiannottaMartin H. Weiss
- Topics
- Advanced Numerical Methods in Computational Mathematics (8 papers)Fluid Dynamics and Turbulent Flows (8 papers)Differential Equations and Numerical Methods (5 papers)
- Partner nations
- United StatesMalaysiaIndia
In The Last Decade
David Schultz
35 papers receiving 393 citations
Peers
Comparison fields: 5 of 87
- Computational Mechanics 154
- Surgery 104
- Biomedical Engineering 90
- Numerical Analysis 81
- Fluid Flow and Transfer Processes 56
Countries citing papers authored by David Schultz
This map shows the geographic impact of David Schultz'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 David Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schultz more than expected).
Fields of papers citing papers by David Schultz
This network shows the impact of papers produced by David Schultz. 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 David Schultz. The network helps show where David Schultz may publish in the future.
Co-authorship network of co-authors of David Schultz
This figure shows the co-authorship network connecting the top 25 collaborators of David Schultz. A scholar is included among the top collaborators of David Schultz 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 David Schultz. David Schultz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 25 | |
| 3 | 70 | |
| 4 | 25 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 6. RELATIONSHIP OF RESISTIVITY, VELOCITY, AND POROSITY FOR BASALTS FROM DOWNHOLE WELI^LOGGING MEASUREMENTS IN HOLE 418A 1 | 11 |
| 9 | 23 | |
| 10 | MR of fourth-ventricular epidermoid tumors. | 18 |
| 11 | 35 | |
| 12 | 4 | |
| 13 | 35 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Experimental numerical solution of the navier-stokes equations for the flow of a fluid in a heated closed cavity | 1 |
About David Schultz
David Schultz is a scholar working on Numerical Analysis, Fluid Flow and Transfer Processes and Computational Mechanics, having authored 35 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (8 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Numerical Analysis (81 citations), Fluid Flow and Transfer Processes (56 citations) and Computational Mechanics (154 citations). David Schultz has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include Daniel S. Greenspan, William T. C. Yuh, Thomas J. Barloon, Hervey D. Segall, Donald Greenspan, Jamshid Ahmadi, Steven L. Giannotta, Martin H. Weiss, Bruce A. Wade and Charles G. Jacoby. Their work appears in journals such as Communications of the ACM, Computer Methods in Applied Mechanics and Engineering and Neurosurgery.
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.