John Lambert

2.2k citations
21 papers · 1.2k · 1 hit paper · h-index 8

Impact in

Papers in

John Lambert

19 papers receiving 1.1k citations

John Lambert's Hit Papers

Argoverse: 3D Tracking and Forecasting With Rich Maps 2019 · 882 citations
8820+2+4Years since publication250500750

Peers

John Lambert
Comparison fields: 5 of 79
  • Automotive Engineering 612
  • Computer Vision and Pattern Recognition 615
  • Safety, Risk, Reliability and Quality 140
  • Signal Processing 134
  • Building and Construction 157
Replace Wang De with:
Wang De United States
Sławomir Bąk United States
Jagjeet Singh United States
Hang Zhao China
Diange Yang China
Pei Sun Australia
Oliver Pink Germany
Julian F. P. Kooij Netherlands
Nico Kaempchen Germany
Igor Gilitschenski United States
John Lambert relative to Wang De United States Wang De's profile →
Citations per field
00.5×1.5×
Wang De · 1×
Citations per year

Countries citing papers authored by John Lambert

Since Specialization
Citations

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

Fields of papers citing papers by John Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Argoverse: 3D Tracking and Forecasting With Rich Maps
Hit paper breakdown →
2019882
2 2020105
3 195848
4 202345
5 200619
6 201818
7 202013
8
Pattern Mining for Future Attacks
200910
9
FLUID FLOW IN A NONRIGID TUBE
19567
10 20116
11 20054
12 20014
13
Performance based standards for heavy vehicles in Australia: field of performance measures
19993
14 20223
15
CHARACTERISTICS OF FAST RESPONSE MEAN RIDE HEIGHT ANALOGUE CONTROLLED HEAVY VEHICLE AIR SPRING SUSPENSION SYSTEM
20012
16 19712
17
Single station and array methods for improved surface wave spectral estimates
19712
18
Bergambacht field test evaluation
20021
19
Using stack traces to identify failed executions in a Java distributed system
20021
20 19691

About John Lambert

John Lambert is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Advanced Neural Network Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Information and Cyber Security (2 papers), Software System Performance and Reliability (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Automotive Engineering (612 citations), Computer Vision and Pattern Recognition (615 citations), Safety, Risk, Reliability and Quality (140 citations), Signal Processing (134 citations) and Building and Construction (157 citations). John Lambert has collaborated with scholars based in United States, India and Australia. Frequent co-authors include James Hays, Jagjeet Singh, Peter Carr, Deva Ramanan, Andrew T. Hartnett, Wang De, Simon Lucey, Patsorn Sangkloy, Sławomir Bąk and Ming-Fang Chang. Their work appears in journals such as JCMS Journal of Common Market Studies, Distributed Computing, International Journal of Engineering Science, Journal of the Franklin Institute and Defense Technical Information Center (DTIC).

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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