M. Daniel

2.4k citations
85 papers · 2.0k · h-index 23

Impact in

Papers in

M. Daniel

82 papers receiving 1.9k citations

Peers

M. Daniel
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 1.7k
  • Modeling and Simulation 159
  • Atomic and Molecular Physics, and Optics 885
  • Geometry and Topology 184
  • Mathematical Physics 179
Replace Hervé Leblond with:
Hervé Leblond France
Todd Kapitula United States
Max A. Lohe Australia
Igor Vladilenovich Barashenkov South Africa
Serge Aubry France
Claude‐Alain Pillet France
Daniela M. Milovic Serbia
Magnus Johansson Sweden
Uwe Bandelow Germany
Tai‐Chia Lin Taiwan
M. Daniel relative to Hervé Leblond France Hervé Leblond's profile →
Citations per field
00.5×2×3×3.8×
Hervé Leblond · 1×
Citations per year

Countries citing papers authored by M. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by M. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Daniel, 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 M. Daniel Line = papers co-authored together M. Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988250
2 1992222
3 1999122
4 200181
5 199464
6 200364
7 200259
8 200150
9 200746
10 199746
11 200246
12 199242
13 199941
14 199541
15 198139
16 200236
17 200835
18 199534
19 200932
20 199732

About M. Daniel

M. Daniel is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Computer Networks and Communications, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (51 papers), Nonlinear Waves and Solitons (51 papers), Magnetic properties of thin films (16 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Theoretical and Computational Physics (12 papers), Advanced Fiber Laser Technologies (11 papers), Magneto-Optical Properties and Applications (7 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Modeling and Simulation (159 citations), Atomic and Molecular Physics, and Optics (885 citations), Geometry and Topology (184 citations) and Mathematical Physics (179 citations). M. Daniel has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Lakshmanan Muthusamy, Kuppuswamy Porsezian, Kavitha Louis, M.M. Latha, Vigneshwaran Gnanakkan Samuel Veerakumar, Kathamuthu Thamilmaran, M. Vanitha, Martin David Kruskal, Rahul Radhakrishnan and Kouji Nakamura. Their work appears in journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications, Physica D Nonlinear Phenomena, Chaos Solitons & Fractals and Journal of Magnetism and Magnetic Materials.

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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