Johan Swart

598 citations
41 papers · 343 · h-index 12

Impact in

Papers in

Johan Swart

35 papers receiving 304 citations

Peers

Johan Swart
Comparison fields: 5 of 70
  • Computational Mathematics 10
  • Mathematical Physics 128
  • Applied Mathematics 87
  • Statistics and Probability 65
  • Algebra and Number Theory 36
Replace Byron Schmuland with:
Byron Schmuland Canada
Kent E. Morrison United States
David L. Ragozin United States
Klaus Scheicher Austria
Fasma Diele Italy
Reinhard B�rger Austria
W. Szymanowski Poland
Ravinder Kumar India
Wojciech Kryszewski Poland
Luis G. Gorostiza Mexico
Johan Swart relative to Byron Schmuland Canada Byron Schmuland's profile →
Citations per field
00.5×3.6×
Byron Schmuland · 1×
Citations per year

Countries citing papers authored by Johan Swart

Since Specialization
Citations

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

Fields of papers citing papers by Johan Swart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Johan Swart, 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 Johan Swart Line = papers co-authored together Johan Swart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200858
2 199646
3 197127
4 197926
5 199125
6 200217
7 198916
8 198815
9 199315
10 199014
11 198112
12 199112
13 19736
14 19866
15 19745
16 19874
17
Letters to the Editors. A small but interesting basidiomycete. Temperature, moisture and day-length effects in Lovegrass (Eragrostis curvula (Schrad) Nees.)
19603
18
The Projective Tensor Product II: The Radon-Nikodym Property
20063
19 20003
20 19893

About Johan Swart

Johan Swart is a scholar working on Mathematical Physics, Public Health, Environmental and Occupational Health, Geometry and Topology, Modeling and Simulation and Applied Mathematics, having authored 41 papers that have together received 343 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Advanced Banach Space Theory (9 papers), Advanced Topology and Set Theory (6 papers), Mathematical Biology Tumor Growth (5 papers), Advanced Operator Algebra Research (5 papers), Rings, Modules, and Algebras (3 papers), Wildlife Ecology and Conservation (3 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Mathematical Physics (128 citations), Applied Mathematics (87 citations), Statistics and Probability (65 citations) and Algebra and Number Theory (36 citations). Johan Swart has collaborated with scholars based in South Africa, United States and Switzerland. Frequent co-authors include Jan Fourie, Michael J. Lawes, Joe Diestel, John Hearne, M.R. Perrin, Hans Jarchow, Leigh Leigh, O. Pribilla, William H. Ruckle and Peter Goodman. Their work appears in journals such as Mathematical Biosciences, Ecological Modelling, Mathematische Annalen, Chaos Solitons & Fractals and manuscripta mathematica.

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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