Mark A. Buckner

23 papers receiving 470 citations

Peers

Mark A. Buckner
Comparison fields: 5 of 49
  • Computer Networks and Communications 285
  • Control and Systems Engineering 274
  • Signal Processing 110
  • Artificial Intelligence 243
  • Radiation 30
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Countries citing papers authored by Mark A. Buckner

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Buckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Buckner. 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 Mark A. Buckner. The network helps show where Mark A. Buckner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014226
2 2013126
3 199819
4 201418
5 199411
6 201610
7
Learning from data with localized regression and differential evolution
20039
8 20109
9 20039
10 20128
11 20117
12 20026
13 20196
14 20115
15 19924
16 20184
17 20124
18
ENHANCING NETWORK SECURITY USING 'LEARNING-FROM-SIGNALS' AND FRACTIONAL FOURIER TRANSFORM BASED RF-DNA FINGERPRINTS
20113
19 20012
20 20122

About Mark A. Buckner

Mark A. Buckner is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Radiation and Electrical and Electronic Engineering, having authored 24 papers that have together received 493 indexed citations. Recurring topics across this work include Nuclear Physics and Applications (5 papers), Radiation Detection and Scintillator Technologies (4 papers), Nuclear reactor physics and engineering (3 papers), Wireless Signal Modulation Classification (3 papers), Smart Grid Security and Resilience (3 papers), Speech and Audio Processing (3 papers), Radiation Therapy and Dosimetry (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (285 citations), Control and Systems Engineering (274 citations), Signal Processing (110 citations), Artificial Intelligence (243 citations) and Radiation (30 citations). Mark A. Buckner has collaborated with scholars based in United States and Czechia. Frequent co-authors include Justin M. Beaver, Raymond Borges Hink, Uttam Adhikari, Shengyi Pan, Michael A. Temple, Laurence F. Miller, Zhong Cao, Michael Moore, R.E. Uhrig and Barry E. Mullins. Their work appears in journals such as Radiation Protection Dosimetry, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Inverse Problems in Science and Engineering, International Journal of Critical Infrastructure Protection and Health Physics.

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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