John Lamb

37 papers receiving 271 citations

Peers

John Lamb
Comparison fields: 5 of 98
  • Fluid Flow and Transfer Processes 48
  • Physical and Theoretical Chemistry 38
  • Management Information Systems 24
  • Medical Laboratory Technology 4
  • Polymers and Plastics 25
Replace C.F. González-Fernández with:
C.F. González-Fernández Spain
K. U. Leuven Belgium
Richard Ash United Kingdom
Charles E. Frank United States
Christoph Heitz Switzerland
Md. Emdadul Haque Bangladesh
Eckhart Blaß Germany
Joshua R. Gray United States
B.L. Crynes United States
John Lamb relative to C.F. González-Fernández Spain C.F. González-Fernández's profile →
Citations per field
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C.F. González-Fernández · 1×
Citations per year

Countries citing papers authored by John Lamb

Since Specialization
Citations

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

Fields of papers citing papers by John Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Greening of IT: How Companies Can Make a Difference for the Environment
200940
2 198130
3 195622
4 195518
5 197416
6 197815
7 198113
8 201513
9 201311
10 201810
11 195510
12 20098
13 20188
14 20147
15 19517
16 19736
17 19516
18
Making Healthcare Green: The Role of Cloud, Green IT, and Data Science to Reduce Healthcare Costs and Combat Climate Change
20186
19 19526
20 19806

About John Lamb

John Lamb is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials, Materials Chemistry, Fluid Flow and Transfer Processes and Polymers and Plastics, having authored 39 papers that have together received 301 indexed citations. Recurring topics across this work include Green IT and Sustainability (5 papers), Rheology and Fluid Dynamics Studies (3 papers), Big Data and Business Intelligence (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Polymer crystallization and properties (3 papers), Electrostatics and Colloid Interactions (2 papers), Material Dynamics and Properties (2 papers) and Solid-state spectroscopy and crystallography (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (48 citations), Physical and Theoretical Chemistry (38 citations), Management Information Systems (24 citations), Medical Laboratory Technology (4 citations) and Polymers and Plastics (25 citations). John Lamb has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include J. E. Piercy, A. M. North, Keiichiro Adachi, Richard A. Pethrick, J. N. Sherwood, M.S. de Groot, A. J. Barlow, Graham Williams, R. W. Gray and Min Gyu Kim. Their work appears in journals such as Polymer, Nature, Journal of Rheology, Clinical Toxicology and Journal of Thermophysics and Heat Transfer.

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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