Kevin D. Seibert

28 total papers · 477 total citations
18 papers, 244 citations indexed

About

Kevin D. Seibert is a scholar working on Molecular Biology, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Kevin D. Seibert has authored 18 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 4 papers in Computational Mechanics. Recurrent topics in Kevin D. Seibert's work include Chemical Synthesis and Analysis (6 papers), Granular flow and fluidized beds (4 papers) and Protein purification and stability (3 papers). Kevin D. Seibert is often cited by papers focused on Chemical Synthesis and Analysis (6 papers), Granular flow and fluidized beds (4 papers) and Protein purification and stability (3 papers). Kevin D. Seibert collaborates with scholars based in United States, United Kingdom and Spain. Kevin D. Seibert's co-authors include Carla V. Luciani, Mark A. Burns, Shankar Vaidyaraman, Salvador García‐Muñoz, Michael E. Kopach, Dae‐Ok Kim, Fernando Alberício, Ludmila Peeva, Piers R. J. Gaffney and Andrew G. Livingston and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Industrial & Engineering Chemistry Research.

In The Last Decade

Kevin D. Seibert

17 papers receiving 237 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin D. Seibert 84 49 44 38 36 18 244
Jyh-Shyong Chang 45 0.5× 38 0.8× 132 3.0× 104 2.7× 10 0.3× 21 324
Nilanjana Banerjee 31 0.4× 62 1.3× 114 2.6× 17 0.4× 19 0.5× 20 314
Qiaole He 136 1.6× 50 1.0× 38 0.9× 26 0.7× 4 0.1× 17 268
Erica P. Schulz 60 0.7× 72 1.5× 71 1.6× 63 1.7× 13 0.4× 23 323
Masoumeh Mohammadi 32 0.4× 93 1.9× 47 1.1× 10 0.3× 16 0.4× 25 309
Daniel J. Jarmer 30 0.4× 190 3.9× 141 3.2× 19 0.5× 31 0.9× 9 308
Hikaru G. Jolliffe 46 0.5× 112 2.3× 136 3.1× 127 3.3× 9 0.3× 14 273
John McGinty 19 0.2× 187 3.8× 70 1.6× 26 0.7× 12 0.3× 12 316
Shaoqi Chen 83 1.0× 20 0.4× 67 1.5× 5 0.1× 11 0.3× 29 282
C. Price 26 0.3× 127 2.6× 71 1.6× 24 0.6× 21 0.6× 21 212

Countries citing papers authored by Kevin D. Seibert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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