John Tolsma

1.1k citations
25 papers · 795 · h-index 15

Impact in

Papers in

John Tolsma

25 papers receiving 741 citations

Peers

John Tolsma
Comparison fields: 5 of 102
  • Numerical Analysis 141
  • Fluid Flow and Transfer Processes 124
  • Catalysis 91
  • Control and Systems Engineering 238
  • Computational Theory and Mathematics 122
Replace Steven P. Asprey with:
Steven P. Asprey United Kingdom
Jaemin Shin South Korea
Xiangrong Li China
Edward M. Rosen United States
Michael Mangold Germany
Wenhai Chen China
David S. Rumschitzki United States
Antonio Fasano Italy
Dimitri Hatziavramidis United States
Ahmed M. Zidan Saudi Arabia
John Tolsma relative to Steven P. Asprey United Kingdom Steven P. Asprey's profile →
Citations per field
00.5×11.8×
Steven P. Asprey · 1×
Citations per year

Countries citing papers authored by John Tolsma

Since Specialization
Citations

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

Fields of papers citing papers by John Tolsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997170
2 200897
3 200075
4 200259
5 201648
6 199843
7 201542
8 200642
9 200232
10 201829
11 200227
12 200222
13 202020
14 202019
15 200015
16 201714
17 200013
18 202012
19 19986
20 19993

About John Tolsma

John Tolsma is a scholar working on Materials Chemistry, Control and Systems Engineering, Molecular Biology, Numerical Analysis and Catalysis, having authored 25 papers that have together received 795 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (6 papers), Advanced Control Systems Optimization (5 papers), Catalysis and Oxidation Reactions (4 papers), Numerical methods for differential equations (3 papers), Crystallization and Solubility Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Model Reduction and Neural Networks (3 papers) and Process Optimization and Integration (2 papers). The work is most often cited by research in Numerical Analysis (141 citations), Fluid Flow and Transfer Processes (124 citations), Catalysis (91 citations), Control and Systems Engineering (238 citations) and Computational Theory and Mathematics (122 citations). John Tolsma has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Paul I. Barton, William F. Feehery, William H. Green, Paul Jasper, Douglas Schwer, J. Thomas McKinnon, Taeshin Park, Alexander Mitsos, Edward P. Gatzke and Paul J.R. Barton. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, SAE technical papers on CD-ROM/SAE technical paper series, Combustion and Flame, SIAM Journal on Scientific Computing and Computers & Chemical Engineering.

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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