D.G. Roberson

1.5k citations
16 papers · 1.1k · h-index 11

Impact in

Papers in

D.G. Roberson

16 papers receiving 1.1k citations

Peers

D.G. Roberson
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 276
  • Automotive Engineering 308
  • Computer Networks and Communications 549
  • Statistical and Nonlinear Physics 137
  • Control and Systems Engineering 253
Replace Yuanlong Xie with:
Yuanlong Xie China
Tiago Nascimento Brazil
Tamás G. Molnár United States
Nuwan Ganganath Hong Kong
Roberto Naldi Italy
John T. Feddema United States
R. Garrido Mexico
Luca Consolini Italy
G. Campion Belgium
Antonino Sferlazza Italy
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Countries citing papers authored by D.G. Roberson

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Roberson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Roberson. 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 D.G. Roberson. The network helps show where D.G. Roberson may publish in the future.

Co-authors

The 15 scholars most cited alongside D.G. Roberson, 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 D.G. Roberson Line = papers co-authored together D.G. Roberson links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2006275
2 2007260
3 2015234
4 2019162
5 201656
6 200827
7 201521
8 200517
9 200916
10 200512
11 200610
12 20079
13 20067
14 20066
15 20064
16 20062

About D.G. Roberson

D.G. Roberson is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering and Molecular Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (7 papers), Stability and Control of Uncertain Systems (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Distributed Control Multi-Agent Systems (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Control and Stability of Dynamical Systems (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (276 citations), Automotive Engineering (308 citations), Computer Networks and Communications (549 citations), Statistical and Nonlinear Physics (137 citations) and Control and Systems Engineering (253 citations). D.G. Roberson has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Stilwell, Zhenyu Kong, Maurizio Porfiri, Erik M. Bollt, Prahalada Rao, Jia Liu, Chenang Liu, Christopher B. Williams, Andrew Chung Chee Law and M. Samie Tootooni. Their work appears in journals such as Journal of Manufacturing Systems, Journal of Manufacturing Science and Engineering, Automatica, IEEE Transactions on Automatic Control and SIAM Journal on Applied Dynamical Systems.

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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