John J. Kanet

2.5k total citations
59 papers, 2.0k citations indexed

About

John J. Kanet is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, John J. Kanet has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Industrial and Manufacturing Engineering, 19 papers in Management Information Systems and 11 papers in Management Science and Operations Research. Recurrent topics in John J. Kanet's work include Scheduling and Optimization Algorithms (32 papers), Assembly Line Balancing Optimization (20 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). John J. Kanet is often cited by papers focused on Scheduling and Optimization Algorithms (32 papers), Assembly Line Balancing Optimization (20 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). John J. Kanet collaborates with scholars based in United States, Germany and Austria. John J. Kanet's co-authors include V. Sridharan, Kenneth R. Baker, Michael F. Gorman, Jack C. Hayya, Mehmet Barut, Heimo H. Adelsberger, David P. Christy, Xiaoming Li, Nagraj Balakrishnan and Peter Mertens and has published in prestigious journals such as Management Science, European Journal of Operational Research and Journal of Operations Management.

In The Last Decade

John J. Kanet

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John J. Kanet United States 22 1.5k 525 402 202 130 59 2.0k
George Vairaktarakis United States 22 1.2k 0.8× 363 0.7× 300 0.7× 262 1.3× 149 1.1× 49 1.7k
Chang Sup Sung South Korea 21 845 0.6× 202 0.4× 192 0.5× 76 0.4× 155 1.2× 75 1.4k
Gary D. Scudder United States 19 1.1k 0.7× 906 1.7× 373 0.9× 228 1.1× 627 4.8× 47 2.4k
Loren Paul Rees United States 21 704 0.5× 283 0.5× 114 0.3× 244 1.2× 136 1.0× 55 1.4k
Susan A. Slotnick United States 13 563 0.4× 376 0.7× 166 0.4× 134 0.7× 173 1.3× 19 904
Rainer Drath Germany 15 1.1k 0.7× 211 0.4× 192 0.5× 38 0.2× 89 0.7× 73 1.6k
Fernando Tohmé Argentina 18 713 0.5× 138 0.3× 243 0.6× 410 2.0× 127 1.0× 111 1.7k
Steef van de Velde Netherlands 23 1.7k 1.1× 311 0.6× 790 2.0× 120 0.6× 229 1.8× 64 2.1k
Helena Ramalhinho Spain 18 662 0.4× 109 0.2× 139 0.3× 134 0.7× 92 0.7× 61 1.1k
Mandyam M. Srinivasan United States 17 439 0.3× 563 1.1× 190 0.5× 191 0.9× 119 0.9× 54 1.2k

Countries citing papers authored by John J. Kanet

Since Specialization
Citations

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

Fields of papers citing papers by John J. Kanet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Kanet. 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 J. Kanet. The network helps show where John J. Kanet may publish in the future.

Co-authorship network of co-authors of John J. Kanet

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

All Works

20 of 20 papers shown
1.
Kolisch, Rainer, et al.. (2024). The performance of priority rules for the dynamic stochastic resource-constrained multi-project scheduling problem: an experimental investigation. Annals of Operations Research. 338(1). 569–595. 4 indexed citations
2.
Gahm, Christian, John J. Kanet, & Axel Tuma. (2018). On the flexibility of a decision theory-based heuristic for single machine scheduling. Computers & Operations Research. 101. 103–115. 6 indexed citations
3.
Ferratt, Thomas W., et al.. (2016). Out of the Fog – A Program Design for Understanding Alternative Career Choices: Examples in Management Information Systems and Operations Management. Journal of the Association for Information Systems. 38. 1 indexed citations
4.
Kanet, John J., et al.. (2013). Time-phased safety stocks planning and its financial impacts: Empirical evidence based on European econometric data. International Journal of Production Economics. 149. 47–55. 7 indexed citations
5.
Gorman, Michael F., et al.. (2011). Evaluating Transportation Research Journal Quality Using the Author Affiliation Index. Transportation Journal. 50(4). 370–389. 6 indexed citations
6.
Kanet, John J., et al.. (2010). Integrating production planning and control: towards a simple model for Capacitated ERP. Production Planning & Control. 21(3). 286–300. 19 indexed citations
7.
Gorman, Michael F. & John J. Kanet. (2007). Note—“OM Forum: Evaluating Operations Management–Related Journals via the Author Affiliation Index”—Do Professors at Top U.S. Business Schools Do What They Say?. Manufacturing & Service Operations Management. 9(1). 51–53. 14 indexed citations
8.
Kanet, John J. & Mehmet Barut. (2003). Problem-Based Learning for Production and Operations Management. SSRN Electronic Journal. 2 indexed citations
9.
Kanet, John J.. (2003). Mean flowtime and inventory in production systems:. International Journal of Production Economics. 91(1). 37–46. 7 indexed citations
10.
Kanet, John J.. (1998). Weaving Advanced Manufacturing Technology into the Fabric of the Business. Research-Technology Management. 41(6). 49. 1 indexed citations
11.
Kanet, John J. & V. Sridharan. (1998). The Value of Using Scheduling Information in Planning Material Requirements*. Decision Sciences. 29(2). 479–496. 20 indexed citations
12.
Kanet, John J., et al.. (1994). Developing an application-specific interactive system based on a spreadsheet package. Journal of Systems and Software. 25(2). 201–206. 1 indexed citations
13.
Kanet, John J. & V. Sridharan. (1991). PROGENITOR : a genetic algorithm for production scheduling. WIRTSCHAFTSINFORMATIK. 33(4). 332–336. 23 indexed citations
14.
Kanet, John J. & David P. Christy. (1989). Manufacturing systems with forbidden early shipment: Implications for setting manufacturing lead times. International Journal of Production Research. 27(5). 783–792. 32 indexed citations
15.
Christy, David P. & John J. Kanet. (1988). Open Order Rescheduling in Job Shops with Demand Uncertainty: A Simulation Study. Decision Sciences. 19(4). 801–818. 17 indexed citations
16.
Kanet, John J. & Heimo H. Adelsberger. (1987). Expert systems in production scheduling. European Journal of Operational Research. 29(1). 51–59. 72 indexed citations
17.
Kanet, John J.. (1986). Tactically delayed versus non-delay scheduling: An experimental investigation. European Journal of Operational Research. 24(1). 99–105. 12 indexed citations
18.
Baker, Kenneth R. & John J. Kanet. (1983). Job shop scheduling with modified due dates. Journal of Operations Management. 4(1). 11–22. 159 indexed citations
19.
Kanet, John J. & Jack C. Hayya. (1982). Priority dispatching with operation due dates in a job shop. Journal of Operations Management. 2(3). 167–175. 111 indexed citations
20.
Kanet, John J.. (1982). Note—On Anomalies in Dynamic Ratio Type Scheduling Rules: A Clarifying Analysis. Management Science. 28(11). 1337–1341. 19 indexed citations

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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