Daniel Morris

2.5k citations
55 papers · 1.8k · 1 hit paper · h-index 22

Impact in

Papers in

Daniel Morris

55 papers receiving 1.8k citations

Daniel Morris's Hit Papers

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection 2020 · 423 citations
4230+2+4Years since publication100200300400

Peers

Daniel Morris
Comparison fields: 5 of 74
  • Automotive Engineering 541
  • Computer Vision and Pattern Recognition 1.1k
  • Aerospace Engineering 216
  • Geology 54
  • Instrumentation 16
Replace Vitor Guizilini with:
Vitor Guizilini Australia
Guilherme N. DeSouza United States
Thierry Château France
Yohann Cabon South Korea
Michel Devy France
Matteo Poggi Italy
Bert De Brabandere Belgium
Di Feng Germany
Rareş Ambruş United States
Stephan R. Richter Germany
Daniel Morris relative to Vitor Guizilini Australia Vitor Guizilini's profile →
Citations per field
00.5×2×3×3.9×
Vitor Guizilini · 1×
Citations per year

Countries citing papers authored by Daniel Morris

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Hit paper breakdown →
2020423
2 200295
3 201988
4 202288
5 200286
6 202181
7 200279
8 201077
9 202173
10 201555
11 202353
12 199840
13 201539
14 201833
15 201833
16 202333
17 200132
18 201931
19 200430
20 200029

About Daniel Morris

Daniel Morris is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Plant Science and Geology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Advanced Vision and Imaging (11 papers), Smart Agriculture and AI (9 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), VLSI and FPGA Design Techniques (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Automotive Engineering (541 citations), Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (216 citations), Geology (54 citations) and Instrumentation (16 citations). Daniel Morris has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hayder Radha, Su Pang, Takeo Kanade A, Xiaoming Liu, James Matthew Rehg, Y. F. Long, Kenichi Kanatani, Mingfang Zhang, Rui Fu and Punarjay Chakravarty. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Transactions on Intelligent Vehicles, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Machine Vision and Applications and IEEE Transactions on Information Theory.

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.

Explore authors with similar magnitude of impact