Mark D. Skowronski
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Developmental Biology top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- John G. HarrisM. Brock FentonJ.G. HarrisRahul ShrivastavPaul A. FaureGerald G. CarterEric J. HunterRodney K. Edwards
- Topics
- Bat Biology and Ecology Studies (12 papers)Animal Vocal Communication and Behavior (12 papers)Voice and Speech Disorders (11 papers)
- Journals
- The Journal of the Acoustical Society of AmericaSoil Science Society of America JournalIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Mark D. Skowronski
38 papers receiving 808 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 418
- Signal Processing 239
- Electrical and Electronic Engineering 194
- Developmental Biology 170
- Ecology, Evolution, Behavior and Systematics 165
Countries citing papers authored by Mark D. Skowronski
This map shows the geographic impact of Mark D. Skowronski'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 D. Skowronski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Skowronski more than expected).
Fields of papers citing papers by Mark D. Skowronski
This network shows the impact of papers produced by Mark D. Skowronski. 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 D. Skowronski. The network helps show where Mark D. Skowronski may publish in the future.
Co-authorship network of co-authors of Mark D. Skowronski
This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Skowronski. A scholar is included among the top collaborators of Mark D. Skowronski 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 D. Skowronski. Mark D. Skowronski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 34 | |
| 9 | 11 | |
| 10 | 58 | |
| 11 | 161 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 27 | |
| 15 | 60 | |
| 16 | BIOLOGICALLY INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE By | 3 |
| 17 | 80 | |
| 18 | 1 | |
| 19 | 21 | |
| 20 | 1 |
About Mark D. Skowronski
Mark D. Skowronski is a scholar working on Developmental Biology, Signal Processing and Ecological Modeling, having authored 42 papers that have together received 874 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (12 papers), Animal Vocal Communication and Behavior (12 papers) and Voice and Speech Disorders (11 papers). The work is most often cited by research in Developmental Biology (170 citations), Signal Processing (239 citations) and Artificial Intelligence (418 citations). Mark D. Skowronski has collaborated with scholars based in United States, Canada and India. Frequent co-authors include John G. Harris, M. Brock Fenton, J.G. Harris, Rahul Shrivastav, Paul A. Faure, Gerald G. Carter, Eric J. Hunter, Rodney K. Edwards, T. Y. Euliano and Irena F. Creed. Their work appears in journals such as The Journal of the Acoustical Society of America, Soil Science Society of America Journal and IEEE Transactions on Biomedical Engineering.
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.