David Lamb
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- A. Taleb-BendiabMartin RandlesJ. S. HaggertyMark TaylorDavid GrestyRobert HegartyLloyd W. HillmanDhiya Al‐Jumeily
- Topics
- Complex Network Analysis Techniques (5 papers)Digital and Cyber Forensics (5 papers)Advanced Software Engineering Methodologies (4 papers)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
David Lamb
37 papers receiving 552 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Information Systems 464
- Computer Networks and Communications 359
- Signal Processing 104
- Artificial Intelligence 76
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by David Lamb
This map shows the geographic impact of David 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 David Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lamb more than expected).
Fields of papers citing papers by David Lamb
This network shows the impact of papers produced by David 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 David Lamb. The network helps show where David Lamb may publish in the future.
Co-authorship network of co-authors of David Lamb
This figure shows the co-authorship network connecting the top 25 collaborators of David Lamb. A scholar is included among the top collaborators of David Lamb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Lamb. David Lamb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Digital Evidence Challenges in the Internet of Things. | 39 |
| 3 | 2 | |
| 4 | 80 | |
| 5 | 15 | |
| 6 | 44 | |
| 7 | A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computingbreakdown → | 316 |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | Design, fabrication, and testing of Fresnel lenses for astrophysics applications | 4 |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | Analyzing the visual echo: Passive 3-D imaging with a multiple aperture camera | 6 |
About David Lamb
David Lamb is a scholar working on Medical Laboratory Technology, Instrumentation and Information Systems, having authored 39 papers that have together received 657 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Digital and Cyber Forensics (5 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Information Systems (464 citations), Computer Networks and Communications (359 citations) and Signal Processing (104 citations). David Lamb has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include A. Taleb-Bendiab, Martin Randles, J. S. Haggerty, Mark Taylor, David Gresty, Robert Hegarty, Lloyd W. Hillman, Dhiya Al‐Jumeily, Thar Baker and Abir Hussain. Their work appears in journals such as Automatica, Optics Express and IEEE Internet of Things Journal.
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.