J.G. Blom

2.4k citations
51 papers · 1.8k · h-index 24

Impact in

Papers in

    • Numerical methods for differential equations 16
    • Fungal and yeast genetics research 10
    • Mitochondrial Function and Pathology 6
    • Microbial Metabolic Engineering and Bioproduction 6

J.G. Blom

51 papers receiving 1.7k citations

Peers

J.G. Blom
Comparison fields: 5 of 115
  • Numerical Analysis 356
  • Computational Mechanics 359
  • Modeling and Simulation 67
  • Atmospheric Science 255
  • Clinical Biochemistry 71
Replace Christopher Rackauckas with:
Christopher Rackauckas United States
Lawrence E. Levine United States
Weiming Cao United States
Grigori N. Milstein Germany
Per Lötstedt Sweden
István Gyöngy United Kingdom
В. Л. Макаров Ukraine
E. Fehlberg United States
Yury A. Kutoyants France
Henri Schurz United States
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Citations per field
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Christopher Rackauckas · 1×
Citations per year

Countries citing papers authored by J.G. Blom

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Blom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G. Blom. 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 J.G. Blom. The network helps show where J.G. Blom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997183
2 1999143
3 1992142
4 199386
5 200285
6 199481
7 199476
8 200071
9 199669
10 199465
11 199659
12 200154
13 198753
14 198851
15 199546
16 199644
17 198942
18 201336
19 198329
20 199329

About J.G. Blom

J.G. Blom is a scholar working on Numerical Analysis, Molecular Biology, Computational Mechanics, Computational Theory and Mathematics and Management Information Systems, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Numerical methods for differential equations (16 papers), Advanced Numerical Methods in Computational Mathematics (13 papers), Fungal and yeast genetics research (10 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Matrix Theory and Algorithms (8 papers), Advanced Queuing Theory Analysis (7 papers), Mitochondrial Function and Pathology (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Numerical Analysis (356 citations), Computational Mechanics (359 citations), Modeling and Simulation (67 citations), Atmospheric Science (255 citations) and Clinical Biochemistry (71 citations). J.G. Blom has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include J.G. Verwer, E.J. Spee, Leslie A. Grivell, Ammy C. Maarse, Willem Hundsdorfer, P.A. Zegeling, Mandy Meijer, P. Dekker, Michiel Meijer and Nikolaus Pfanner. Their work appears in journals such as Journal of Computational Physics, ACM Transactions on Mathematical Software, The EMBO Journal, Molecular and Cellular Biology and Applied Numerical Mathematics.

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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