David Nicholson

770 citations
39 papers · 358 · h-index 12

Impact in

Papers in

David Nicholson

33 papers receiving 332 citations

Peers

David Nicholson
Comparison fields: 5 of 76
  • Physical and Theoretical Chemistry 48
  • Computer Networks and Communications 82
  • Astronomy and Astrophysics 52
  • Artificial Intelligence 87
  • Electrochemistry 15
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Alexander Maltsev Russia
Ole Østerby Denmark
Rabindra Kishore Mishra India
John G. Fletcher United States
Sam Kumar India
Madhumita Panda India
W. Lewandowski France
Edward W. Ng United States
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Citations per field
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Citations per year

Countries citing papers authored by David Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by David Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199840
2 198135
3 198628
4 201028
5 200326
6 198723
7
Multi-Sensor Fault Recovery in the Presence of Known and Unknown Fault Types
200920
8 200519
9 200016
10 199614
11 198514
12 200412
13 200010
14 19939
15
Cooperative Control using the Max-Sum Algorithm
20088
16 20178
17 20107
18 20127
19 20046
20
Stochastic Gravitational Wave Background
19964

About David Nicholson

David Nicholson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 39 papers that have together received 358 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Pulsars and Gravitational Waves Research (3 papers), Fault Detection and Control Systems (3 papers), Lignin and Wood Chemistry (3 papers), Robotics and Sensor-Based Localization (3 papers), Neural Networks and Applications (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (48 citations), Computer Networks and Communications (82 citations), Astronomy and Astrophysics (52 citations), Artificial Intelligence (87 citations) and Electrochemistry (15 citations). David Nicholson has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include N. G. Parsonage, A. Vecchio, Steven Reece, Stelios Timotheou, Erol Gelenbe, Simon Julier, Jeffrey Uhlmann, Christopher L. Davey, Douglas B. Kell and Christopher M Lloyd. Their work appears in journals such as The Computer Journal, Journal of Wood Chemistry and Technology, Bioelectrochemistry, Town Planning Review and Classical and Quantum Gravity.

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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