Kevin D. Seibert
- Molecular Biology
- Materials Chemistry
- Biomedical Engineering
- Control and Systems Engineering
- Computational Mechanics
- Co-authors
- Carla V. LucianiMark A. BurnsShankar VaidyaramanSalvador García‐MuñozMichael E. KopachAndrew G. LivingstonFernando AlberícioPiers R. J. Gaffney
- Topics
- Chemical Synthesis and Analysis (6 papers)Granular flow and fluidized beds (4 papers)Protein purification and stability (3 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionIndustrial & Engineering Chemistry Research
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Kevin D. Seibert
17 papers receiving 238 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 86
- Materials Chemistry 49
- Biomedical Engineering 44
- Control and Systems Engineering 39
- Computational Mechanics 36
Countries citing papers authored by Kevin D. Seibert
This map shows the geographic impact of Kevin D. Seibert'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 Kevin D. Seibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Seibert more than expected).
Fields of papers citing papers by Kevin D. Seibert
This network shows the impact of papers produced by Kevin D. Seibert. 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 Kevin D. Seibert. The network helps show where Kevin D. Seibert may publish in the future.
Co-authorship network of co-authors of Kevin D. Seibert
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Seibert. A scholar is included among the top collaborators of Kevin D. Seibert 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 Kevin D. Seibert. Kevin D. Seibert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 30 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 54 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 17 |
About Kevin D. Seibert
Kevin D. Seibert is a scholar working on Statistics, Probability and Uncertainty, Physiology and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 245 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Granular flow and fluidized beds (4 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Computational Theory and Mathematics (35 citations), Pharmaceutical Science (13 citations) and Water Science and Technology (25 citations). Kevin D. Seibert has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Carla V. Luciani, Mark A. Burns, Shankar Vaidyaraman, Salvador García‐Muñoz, Michael E. Kopach, Andrew G. Livingston, Fernando Alberício, Piers R. J. Gaffney, Ludmila Peeva and Dae‐Ok Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Industrial & Engineering Chemistry Research.
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.