Daniel J. Burns

1.5k citations
87 papers · 1.1k · h-index 18

Impact in

Papers in

Daniel J. Burns

82 papers receiving 1.0k citations

Peers

Daniel J. Burns
Comparison fields: 5 of 128
  • Cognitive Neuroscience 432
  • Developmental and Educational Psychology 198
  • Experimental and Cognitive Psychology 141
  • Control and Systems Engineering 162
  • Social Psychology 137
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Burns

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Society of Photo-optical Instrumentation Engineers (SPIE)
1997125
2 201172
3 199952
4 199349
5 199243
6 198639
7 199635
8 199333
9 200929
10
Extremum Seeking Control for Energy Optimization of Vapor Compression Systems
201227
11 201227
12 199024
13 201122
14 199822
15 201422
16 201220
17 200718
18 200618
19 201216
20 200416

About Daniel J. Burns

Daniel J. Burns is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Mechanical Engineering, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory Processes and Influences (18 papers), Advanced Control Systems Optimization (13 papers), Extremum Seeking Control Systems (12 papers), Refrigeration and Air Conditioning Technologies (11 papers), Force Microscopy Techniques and Applications (9 papers), Mechanical and Optical Resonators (7 papers), Deception detection and forensic psychology (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Cognitive Neuroscience (432 citations), Developmental and Educational Psychology (198 citations), Experimental and Cognitive Psychology (141 citations), Control and Systems Engineering (162 citations) and Social Psychology (137 citations). Daniel J. Burns has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Martin Guay, H. F. Helbig, Christopher R. Laughman, Joshua Hart, Kamal Youcef‐Toumi, Georg E. Fantner, Dávid Vass, David G. Payne, Ian Underwood and A. Edward O’Hara. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Memory, Memory & Cognition, IEEE Transactions on Control Systems Technology and International Journal of Nanomanufacturing.

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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