Mark A. Buckner
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Justin M. BeaverRaymond Borges HinkShengyi PanUttam AdhikariLaurence F. MillerMichael A. TempleZhong CaoMichael Moore
- Topics
- Nuclear Physics and Applications (5 papers)Radiation Detection and Scintillator Technologies (4 papers)Speech and Audio Processing (3 papers)
- Journals
- SensorsNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentHealth Physics
- Partner nations
- United StatesCzechia
In The Last Decade
Mark A. Buckner
23 papers receiving 470 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 285
- Control and Systems Engineering 274
- Artificial Intelligence 243
- Signal Processing 110
- Electrical and Electronic Engineering 108
Countries citing papers authored by Mark A. Buckner
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
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-authorship network of co-authors of Mark A. Buckner
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Buckner. A scholar is included among the top collaborators of Mark A. Buckner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark A. Buckner. Mark A. Buckner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 18 | |
| 5 | 226 | |
| 6 | 126 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | Learning from data with localized regression and differential evolution | 9 |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Mark A. Buckner
Mark A. Buckner is a scholar working on Radiation, Signal Processing and Computer Networks and Communications, 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) and Speech and Audio Processing (3 papers). The work is most often cited by research in Computer Networks and Communications (285 citations), Control and Systems Engineering (274 citations) and Signal Processing (110 citations). Mark A. Buckner has collaborated with scholars based in United States and Czechia. Frequent co-authors include Justin M. Beaver, Raymond Borges Hink, Shengyi Pan, Uttam Adhikari, Laurence F. Miller, Michael A. Temple, Zhong Cao, Michael Moore, R.E. Uhrig and Benjamin W. Ramsey. Their work appears in journals such as Sensors, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 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.