Mark H. Karwan

4.0k total citations
112 papers, 2.8k citations indexed

About

Mark H. Karwan is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Mark H. Karwan has authored 112 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Industrial and Manufacturing Engineering, 29 papers in Control and Systems Engineering and 20 papers in Management Science and Operations Research. Recurrent topics in Mark H. Karwan's work include Vehicle Routing Optimization Methods (26 papers), Optimization and Mathematical Programming (24 papers) and Optimization and Packing Problems (13 papers). Mark H. Karwan is often cited by papers focused on Vehicle Routing Optimization Methods (26 papers), Optimization and Mathematical Programming (24 papers) and Optimization and Packing Problems (13 papers). Mark H. Karwan collaborates with scholars based in United States, Mexico and Netherlands. Mark H. Karwan's co-authors include Wayne F. Bialas, Rajan Batta, Stanley Zionts, Colin G. Drury, Ronald L. Rardin, Chase Murray, R. Ramesh, Bernardo Villarreal, Matthew F. Keblis and Moustapha Diaby and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and European Journal of Operational Research.

In The Last Decade

Mark H. Karwan

103 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark H. Karwan United States	27	981	883	578	511	268	112	2.8k
Xavier Gandibleux France	20	918 0.9×	567 0.6×	855 1.5×	362 0.7×	177 0.7×	42	2.2k
John E. Mitchell United States	26	324 0.3×	473 0.5×	365 0.6×	193 0.4×	370 1.4×	91	2.1k
Murat Köksalan Türkiye	27	562 0.6×	551 0.6×	826 1.4×	1.0k 2.0×	94 0.4×	103	2.5k
Anita Schöbel Germany	31	1.3k 1.3×	422 0.5×	527 0.9×	601 1.2×	196 0.7×	134	3.0k
Darwin Klingman United States	26	772 0.8×	988 1.1×	545 0.9×	439 0.9×	396 1.5×	87	2.6k
John Hooker United States	33	1.5k 1.5×	746 0.8×	906 1.6×	473 0.9×	142 0.5×	110	3.7k
Ivana Ljubić France	24	932 1.0×	217 0.2×	412 0.7×	296 0.6×	78 0.3×	100	2.1k
Masatoshi Sakawa Japan	40	820 0.8×	2.9k 3.3×	1.4k 2.5×	2.8k 5.5×	165 0.6×	276	5.4k
Dingwei Wang China	28	823 0.8×	487 0.6×	304 0.5×	565 1.1×	26 0.1×	204	2.7k
Jacques Teghem Belgium	24	1.0k 1.0×	484 0.5×	571 1.0×	485 0.9×	36 0.1×	51	2.0k

Countries citing papers authored by Mark H. Karwan

Since Specialization

Citations

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

Fields of papers citing papers by Mark H. Karwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark H. Karwan. 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 Mark H. Karwan. The network helps show where Mark H. Karwan may publish in the future.

Co-authorship network of co-authors of Mark H. Karwan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kang, Jee Eun, et al.. (2023). A Conditional Gravity p-Median Model for Strategic Public Parking Locations for Autonomous Vehicles. SSRN Electronic Journal. 1 indexed citations

Raj, Ritwik, et al.. (2023). A numerical optimization approach for pricing components in customer defined bundles in a B2B market. Computers & Operations Research. 155. 106215–106215.

Kang, Jee Eun, et al.. (2021). Household Activity Pattern Problem with Autonomous Vehicles. Networks and Spatial Economics. 21(3). 609–637. 8 indexed citations

Batta, Rajan, et al.. (2020). The balancing traveling salesman problem: application to warehouse order picking. Top. 29(2). 442–469. 5 indexed citations

Murray, Chase, et al.. (2019). An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs. SSRN Electronic Journal. 1 indexed citations

Karwan, Mark H., et al.. (2019). Path-Based Approaches to Robust Network Design Problems Considering Boundedly Rational Network Users. Transportation Research Record Journal of the Transportation Research Board. 2673(3). 637–645. 3 indexed citations

Karwan, Mark H., et al.. (2018). Spectral risk measure minimization in hazardous materials transportation. IISE Transactions. 51(6). 638–652. 3 indexed citations

Karwan, Mark H., et al.. (2013). A multi-perspective optimization approach to UAV resource management for littoral surveillance. International Conference on Information Fusion. 492–498. 8 indexed citations

Karwan, Mark H., et al.. (2011). Combining a new data classification technique and regression analysis to predict the Cost-To-Serve new customers. Computers & Industrial Engineering. 61(1). 184–197. 18 indexed citations

10.

Dell, Robert F., Rajan Batta, & Mark H. Karwan. (1996). The Multiple Vehicle TSP with Time Windows and Equity Constraints over a Multiple Day Horizon. Transportation Science. 30(2). 120–133. 9 indexed citations

11.

Ramesh, R., Mark H. Karwan, & Stanley Zionts. (1989). Preference Structure Representation Using Convex Cones in Multicriteria Integer Programming. Management Science. 35(9). 1092–1105. 26 indexed citations

12.

Helander, Martin G. & Mark H. Karwan. (1988). Methods for field evaluation of safety in a robotics workplace. 85. 403–410. 3 indexed citations

13.

Karwan, Mark H., et al.. (1987). A Lagrangean dual-based solution method for a special linear programming problem. Computers & Operations Research. 14(1). 67–73. 2 indexed citations

14.

Karwan, Mark H., et al.. (1985). An Interactive Provider Scheduling Program for HMOs and Larger Group Practices. PubMed Central. 435–439. 1 indexed citations

15.

Bialas, Wayne F. & Mark H. Karwan. (1984). Two-Level Linear Programming. Management Science. 30(8). 1004–1020. 409 indexed citations

16.

Karwan, Mark H. & A. Boneh. (1983). Redundancy in mathematical programming : a state-of-the-art survey. Springer eBooks. 34 indexed citations

17.

Bialas, Wayne F. & Mark H. Karwan. (1982). On two-level optimization. IEEE Transactions on Automatic Control. 27(1). 211–214. 167 indexed citations

18.

Villarreal, Bernardo & Mark H. Karwan. (1981). An interactive dynamic programming approach to multicriteria discrete programming. Journal of Mathematical Analysis and Applications. 81(2). 524–544. 18 indexed citations

19.

Villarreal, Bernardo & Mark H. Karwan. (1981). Multicriteria integer programming: A (hybrid) dynamic programming recursive approach. Mathematical Programming. 21(1). 204–223. 67 indexed citations

20.

Karwan, Mark H. & Ronald L. Rardin. (1979). Some relationships between lagrangian and surrogate duality in integer programming. Mathematical Programming. 17(1). 320–334. 62 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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