Kai Diethelm

18.5k citations
70 papers · 13.2k indexed · 12 hit papers · h-index 29

Kai Diethelm

68 papers receiving 12.5k citations

Hit Papers

Trends, di...85199720262006201650010001.5k2.0k2.5k

Peers

Kai Diethelm
Comparison fields: 5 of 139
  • Modeling and Simulation 10.9k
  • Numerical Analysis 5.6k
  • Applied Mathematics 4.8k
  • Statistical and Nonlinear Physics 2.6k
  • Control and Systems Engineering 1.9k
Replace J. F. Gómez‐Aguilar with:
J. F. Gómez‐Aguilar Mexico
Changpin Li China
Abdon Atangana South Africa
Kottakkaran Sooppy Nisar Saudi Arabia
Neville J. Ford United Kingdom
Zaid Odibat Jordan
Francesco Mainardi Italy
Thabet Abdeljawad Saudi Arabia
Juan J. Trujillo Spain
Omar Abu Arqub Jordan
Kai Diethelm relative to J. F. Gómez‐Aguilar Mexico J. F. Gómez‐Aguilar's profile →
Citations per field
00.5×5.0×
J. F. Gómez‐Aguilar · 1×
Citations per year

Countries citing papers authored by Kai Diethelm

Since Specialization
Citations

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

Fields of papers citing papers by Kai Diethelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Kai Diethelm, 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 Kai Diethelm Line = papers co-authored together Kai Diethelm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20234
4 20231
5 20227
6
Trends, directions for further research, and some open problems of fractional calculusbreakdown →
202285
7 20224
8 20210
9 202043
10
Fractional calculus: models and numerical methods (2nd edition)
201615
11 2016149
12 201415
13
Fractional Calculusbreakdown →
2011833
14
Smoothness Properties of Solutions of Caputo-Type Fractional Differential Equations
200716
15 200692
16 2005111
17 19989
18 199760
19 19977
20 199523

About Kai Diethelm

Kai Diethelm is a scholar working on Modeling and Simulation, Numerical Analysis, Applied Mathematics, Mechanics of Materials and Fluid Flow and Transfer Processes, having authored 70 papers that have together received 13.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (46 papers), Iterative Methods for Nonlinear Equations (27 papers), Numerical methods for differential equations (19 papers), Mathematical functions and polynomials (18 papers), Differential Equations and Numerical Methods (16 papers), Nonlinear Differential Equations Analysis (12 papers), Numerical methods in engineering (9 papers) and Electromagnetic Scattering and Analysis (7 papers). The work is most often cited by research in Modeling and Simulation (10.9k citations), Numerical Analysis (5.6k citations), Applied Mathematics (4.8k citations), Statistical and Nonlinear Physics (2.6k citations) and Control and Systems Engineering (1.9k citations). Kai Diethelm has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Neville J. Ford, Alan D. Freed, Juan J. Trujillo, Enrico Scalas, Dumitru Bǎleanu, Yu. Luchko, Guido Walz, Judith M. Ford, Yuri Luchko and Vasily E. Tarasov. Their work appears in journals such as Journal of Computational and Applied Mathematics, Fractional Calculus and Applied Analysis, Numerical Algorithms, Nonlinear Dynamics and Numerische Mathematik.

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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