Matthew D. Jankowski

738 citations
5 papers · 560 indexed · h-index 4
Topics
Microbial Metabolic Engineering and Bioproduction (4 papers)Advanced Data Processing Techniques (1 paper)Big Data and Business Intelligence (1 paper)
Journals
Biophysical JournalChemical Engineering ScienceInfoscience (Ecole Polytechnique Fédérale de Lausanne)
Partner nations
United StatesSwitzerland

In The Last Decade

Matthew D. Jankowski

5 papers receiving 546 citations

Peers

Matthew D. Jankowski
Comparison fields: 5 of 74
  • Molecular Biology 471
  • Biomedical Engineering 156
  • Control and Systems Engineering 63
  • Computational Theory and Mathematics 44
  • Physical and Theoretical Chemistry 35
Replace Hulda S. Haraldsdóttir with:
Hulda S. Haraldsdóttir Luxembourg
Ulrike Strauss Austria
Susana Navea Spain
E Selkov United States
Sergio Grimbs Germany
Jean‐Paul Roduit Switzerland
Lucius T. Rossano United States
Michael Möllney Germany
Sabine Bastian Germany
Peter Sagmeister Austria
Matthew D. Jankowski relative to Hulda S. Haraldsdóttir Luxembourg Hulda S. Haraldsdóttir's profile →
Citations per field
00.5×1.5×1.9×
Hulda S. Haraldsdóttir · 1×
Citations per year

Countries citing papers authored by Matthew D. Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Jankowski. 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 Matthew D. Jankowski. The network helps show where Matthew D. Jankowski may publish in the future.

Co-authorship network of co-authors of Matthew D. Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Jankowski. A scholar is included among the top collaborators of Matthew D. Jankowski 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 Matthew D. Jankowski. Matthew D. Jankowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Storm Applied: Strategies for real-time event processing
26
2 302
3 164
4
Analysis of free energy change and thermodynamic feasibility in a genome scale metabolic model
1
5 67

About Matthew D. Jankowski

Matthew D. Jankowski is a scholar working on Management Information Systems, Physical and Theoretical Chemistry and Control and Systems Engineering, having authored 5 papers that have together received 560 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Advanced Data Processing Techniques (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Molecular Biology (471 citations), Physical and Theoretical Chemistry (35 citations) and Biochemistry (26 citations). Matthew D. Jankowski has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Christopher S. Henry, Linda J. Broadbelt, Vassily Hatzimanikatis, Chunhui Li and Sean T. Allen. Their work appears in journals such as Biophysical Journal, Chemical Engineering Science and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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