Samuel D. Conte

1.0k citations
13 papers · 675 · h-index 6

Impact in

Papers in

Samuel D. Conte

13 papers receiving 589 citations

Peers

Samuel D. Conte
Comparison fields: 5 of 118
  • Computer Science Applications 208
  • Software 57
  • Computational Theory and Mathematics 91
  • Numerical Analysis 30
  • Hardware and Architecture 35
Replace F. J. Corbató with:
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Samuel D. Conte relative to F. J. Corbató United States F. J. Corbató's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samuel D. Conte

Since Specialization
Citations

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

Fields of papers citing papers by Samuel D. Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Samuel D. Conte, 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 D. Conte Line = papers co-authored together Samuel D. Conte links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1968307
2 1967226
3 196361
4 196030
5 196718
6 196713
7
Dasar-dasar analisis numerik : Suatu pendekatan algoritma
19925
8
ACM Recommended Curricula for Computer Science and Information Processing Programs in Colleges and Universities, 1968-1981
19814
9 19663
10
ACM Curricula Recommendations for Computer Science
19833
11
An objective methodology for early software size estimation
19882
12 19522
13 19561

About Samuel D. Conte

Samuel D. Conte is a scholar working on Information Systems, Computational Theory and Mathematics, Computer Science Applications, Numerical Analysis and Mechanics of Materials, having authored 13 papers that have together received 675 indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Composite Structure Analysis and Optimization (1 paper), Electromagnetic Scattering and Analysis (1 paper), Numerical methods in engineering (1 paper), Iterative Methods for Nonlinear Equations (1 paper), Numerical Methods and Algorithms (1 paper), VLSI and FPGA Design Techniques (1 paper) and Decision Support System Applications (1 paper). The work is most often cited by research in Computer Science Applications (208 citations), Software (57 citations), Computational Theory and Mathematics (91 citations), Numerical Analysis (30 citations) and Hardware and Architecture (35 citations). Samuel D. Conte has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include J. B. Scarborough, Earl J. Schweppe, E.J. McCluskey, Werner C. Rheinboldt, William F. Atchison, David M. Young, John W. Hamblen, Thomas A. Keenan, Silvio O. Navarro and Burton D. Fried. Their work appears in journals such as Mathematics of Computation, Journal of the ACM, Communications of the ACM, Quarterly of Applied Mathematics and Purdue e-Pubs (Purdue University System).

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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