John H. Smith

70 papers receiving 855 citations

Peers

John H. Smith
Comparison fields: 5 of 161
  • General Decision Sciences 33
  • Management Science and Operations Research 178
  • Economics and Econometrics 310
  • Discrete Mathematics and Combinatorics 28
  • Algebra and Number Theory 33
Replace Stefan Gerhold with:
Stefan Gerhold Austria
Stéphane Robin France
Sven Berg Sweden
Jianfeng Zhang China
Xiaodong Liu China
Andréas Hinz Germany
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Citations per year

Countries citing papers authored by John H. Smith

Since Specialization
Citations

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

Fields of papers citing papers by John H. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Smith. 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 John H. Smith. The network helps show where John H. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973330
2 1969174
3 197451
4
Failure mechanisms in high performance materials
198539
5 197737
6 197729
7 197126
8 199521
9 199920
10 198619
11
A DESCENT ALGORITHM FOR SOLVING A VARIETY OF MONOTONE EQUILIBRIUM PROBLEMS
198418
12 199515
13 196315
14 196214
15 201413
16 196912
17 198511
18 199411
19 19779
20 19568

About John H. Smith

John H. Smith is a scholar working on Algebra and Number Theory, Geometry and Topology, Philosophy, Computational Theory and Mathematics and Mathematical Physics, having authored 97 papers that have together received 1.0k indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (6 papers), Critical Theory and Philosophy (5 papers), Fatigue and fracture mechanics (4 papers), Philosophy and Historical Thought (4 papers), American Constitutional Law and Politics (4 papers), Polynomial and algebraic computation (4 papers), Advanced Topics in Algebra (4 papers) and Magnetism in coordination complexes (3 papers). The work is most often cited by research in General Decision Sciences (33 citations), Management Science and Operations Research (178 citations), Economics and Econometrics (310 citations), Discrete Mathematics and Combinatorics (28 citations) and Algebra and Number Theory (33 citations). John H. Smith has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jay Aaron Bertrand, Donald G. VanDerveer, P. Gary. Eller, Bernard de Wit, Nancy Seear, Basil Gordon, Burton Fein, Michael J. Smith, Mahendra D. Rana and Ching‐Chi Chi. Their work appears in journals such as Proceedings of the American Mathematical Society, Journal of Pressure Vessel Technology, The American Statistician, Journal of the American Statistical Association and Inorganic Chemistry.

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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