E. J. Watson

1.5k citations
22 papers · 1.2k · h-index 12

Impact in

Papers in

E. J. Watson

21 papers receiving 1.1k citations

Peers

E. J. Watson
Comparison fields: 5 of 104
  • Computational Mechanics 650
  • Fluid Flow and Transfer Processes 68
  • Statistical and Nonlinear Physics 111
  • Mechanical Engineering 315
  • Surfaces, Coatings and Films 52
Replace PN Shankar with:
PN Shankar India
Carl E. Pearson United States
Luca Heltai Italy
O. R. Burggraf United States
A. Liakopoulos Greece
H. Ockendon United Kingdom
Peter K. Jimack United Kingdom
R. V. Craster United Kingdom
Arnold Reusken Germany
E. L. Koschmieder United States
E. J. Watson relative to PN Shankar India PN Shankar's profile →
Citations per field
00.5×1.5×2.2×
PN Shankar · 1×
Citations per year

Countries citing papers authored by E. J. Watson

Since Specialization
Citations

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

Fields of papers citing papers by E. J. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside E. J. Watson, 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 E. J. Watson Line = papers co-authored together E. J. Watson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964437
2 1983255
3 198076
4 198569
5 196263
6 195551
7
Laplace transforms and applications
198151
8 196135
9 198727
10 196621
11 199514
12 198611
13 198910
14 19938
15 20097
16 19926
17 19864
18 19923
19 19712
20 20052

About E. J. Watson

E. J. Watson is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Mechanical Engineering, Fluid Flow and Transfer Processes and Molecular Biology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (8 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), stochastic dynamics and bifurcation (4 papers), Fluid Dynamics and Vibration Analysis (3 papers), Rheology and Fluid Dynamics Studies (3 papers), Heat Transfer Mechanisms (2 papers), Advanced Thermodynamic Systems and Engines (2 papers) and Experimental and Theoretical Physics Studies (2 papers). The work is most often cited by research in Computational Mechanics (650 citations), Fluid Flow and Transfer Processes (68 citations), Statistical and Nonlinear Physics (111 citations), Mechanical Engineering (315 citations) and Surfaces, Coatings and Films (52 citations). E. J. Watson has collaborated with scholars based in United Kingdom, Slovakia and Brazil. Frequent co-authors include Trevor W. Marshall, Graham H. Neale, S. Levine, N. Riley, Peter W. Duck, J. N. Dewynne, Emilio Santos, J. R. Ockendon, Mario Sánchez–Sanz and Sam Howison. Their work appears in journals such as Journal of Fluid Mechanics, The Quarterly Journal of Mechanics and Applied Mathematics, Mathematika, Journal of Colloid and Interface Science and Physical Review A.

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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