John M. Wassick
- Control and Systems Engineering top 0.5%
- Industrial and Manufacturing Engineering top 0.5%
- Strategy and Management top 2%
- Management Information Systems top 2%
- Information Systems top 5%
- Co-authors
- Ignacio E. GrossmannFengqi YouLorenz T. BieglerAnshul AgarwalYisu NieChristos T. MaraveliasYunfei ChuCarlos Villa
- Topics
- Process Optimization and Integration (35 papers)Advanced Control Systems Optimization (33 papers)Scheduling and Optimization Algorithms (24 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringManagement Information Systems
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
John M. Wassick
62 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Control and Systems Engineering 1.3k
- Industrial and Manufacturing Engineering 859
- Strategy and Management 424
- Management Information Systems 383
- Information Systems 218
Countries citing papers authored by John M. Wassick
This map shows the geographic impact of John M. Wassick'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 John M. Wassick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Wassick more than expected).
Fields of papers citing papers by John M. Wassick
This network shows the impact of papers produced by John M. Wassick. 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 John M. Wassick. The network helps show where John M. Wassick may publish in the future.
Co-authorship network of co-authors of John M. Wassick
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Wassick. A scholar is included among the top collaborators of John M. Wassick 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 John M. Wassick. John M. Wassick 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 | 4 | |
| 3 | 18 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 46 | |
| 13 | 68 | |
| 14 | Scope for industrial applications of production scheduling models and solution methodsbreakdown → | 353 |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 37 | |
| 20 | 8 |
About John M. Wassick
John M. Wassick is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Information Systems, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Process Optimization and Integration (35 papers), Advanced Control Systems Optimization (33 papers) and Scheduling and Optimization Algorithms (24 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (859 citations), Control and Systems Engineering (1.3k citations) and Management Information Systems (383 citations). John M. Wassick has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Ignacio E. Grossmann, Fengqi You, Lorenz T. Biegler, Anshul Agarwal, Yisu Nie, Christos T. Maravelias, Yunfei Chu, Carlos Villa, Scott J. Bury and Brian King. Their work appears in journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.
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.