Donald W. Hearn

3.3k total citations
48 papers, 1.7k citations indexed

About

Donald W. Hearn is a scholar working on Transportation, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Donald W. Hearn has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Transportation, 12 papers in Control and Systems Engineering and 9 papers in Computational Theory and Mathematics. Recurrent topics in Donald W. Hearn's work include Transportation Planning and Optimization (21 papers), Traffic control and management (11 papers) and Advanced Optimization Algorithms Research (8 papers). Donald W. Hearn is often cited by papers focused on Transportation Planning and Optimization (21 papers), Traffic control and management (11 papers) and Advanced Optimization Algorithms Research (8 papers). Donald W. Hearn collaborates with scholars based in United States, Canada and Israel. Donald W. Hearn's co-authors include Siriphong Lawphongpanich, Jack Elzinga, D. Jack Elzinga, William W. Hager, P. M. Pardalos, Mehmet Bayram Yildirim, Pãnos M. Pardalos, José A. Ventura, Chung‐Yee Lee and Motakuri V. Ramana and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Management Science.

In The Last Decade

Donald W. Hearn

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald W. Hearn United States 22 586 415 399 374 335 48 1.7k
Harlan Crowder United States 9 137 0.2× 251 0.6× 394 1.0× 1.1k 2.8× 225 0.7× 11 2.0k
Antonio Frangioni Italy 28 170 0.3× 379 0.9× 565 1.4× 587 1.6× 122 0.4× 103 2.4k
H. Donald Ratliff United States 23 132 0.2× 175 0.4× 256 0.6× 1.3k 3.5× 172 0.5× 40 1.9k
L. E. Trotter United States 12 119 0.2× 86 0.2× 704 1.8× 535 1.4× 48 0.1× 30 1.4k
Warren P. Adams United States 17 67 0.1× 476 1.1× 801 2.0× 710 1.9× 110 0.3× 33 2.0k
Dragan Urošević Serbia 25 104 0.2× 143 0.3× 153 0.4× 1.1k 3.1× 420 1.3× 86 1.6k
Abraham Duarte Spain 27 91 0.2× 149 0.4× 476 1.2× 1.3k 3.5× 251 0.7× 119 2.1k
Sven O. Krumke Germany 15 98 0.2× 169 0.4× 167 0.4× 367 1.0× 82 0.2× 86 1.0k
H. Frank United States 19 216 0.4× 165 0.4× 245 0.6× 233 0.6× 107 0.3× 42 1.5k
Romesh Saigal United States 23 193 0.3× 387 0.9× 989 2.5× 90 0.2× 13 0.0× 70 2.2k

Countries citing papers authored by Donald W. Hearn

Since Specialization
Citations

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

Fields of papers citing papers by Donald W. Hearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald W. Hearn. 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 Donald W. Hearn. The network helps show where Donald W. Hearn may publish in the future.

Co-authorship network of co-authors of Donald W. Hearn

This figure shows the co-authorship network connecting the top 25 collaborators of Donald W. Hearn. A scholar is included among the top collaborators of Donald W. Hearn 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 Donald W. Hearn. Donald W. Hearn 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.
Benincasa, Giacomo, et al.. (2020). Algorithms and Software for the Golf Director Problem. University of Southern Denmark Research Portal (University of Southern Denmark). 6(3). 155–172. 1 indexed citations
2.
Lawphongpanich, Siriphong, Donald W. Hearn, & Mike Smith. (2006). Mathematical and Computational Models for Congestion Charging. KTH Publication Database DiVA (KTH Royal Institute of Technology). 75 indexed citations
3.
Lawphongpanich, Siriphong & Donald W. Hearn. (2004). An MPEC approach to second-best toll pricing. Mathematical Programming. 101(1). 107 indexed citations
4.
Yildirim, Mehmet Bayram & Donald W. Hearn. (2004). A first best toll pricing framework for variable demand traffic assignment problems. Transportation Research Part B Methodological. 39(8). 659–678. 68 indexed citations
5.
Hearn, Donald W., et al.. (2002). Computational methods for congestion toll pricing models. Holmes Museum Of Anthropology (Wichita State University). 257–262. 11 indexed citations
6.
Hager, William W., Donald W. Hearn, & P. M. Pardalos. (1994). Large scale optimization : state of the art. Kluwer Academic eBooks. 125 indexed citations
7.
Hearn, Donald W., et al.. (1994). Algorithms for the maximum clique problem. 1 indexed citations
8.
Hager, William W., Donald W. Hearn, & Pãnos M. Pardalos. (1994). Large Scale Optimization. CERN Document Server (European Organization for Nuclear Research). 36 indexed citations
9.
Ventura, José A. & Donald W. Hearn. (1993). Restricted simplicial decomposition for convex constrained problems. Mathematical Programming. 59(1-3). 71–85. 19 indexed citations
10.
Hager, William W. & Donald W. Hearn. (1993). Application of the dual active set algorithm to quadratic network optimization. Computational Optimization and Applications. 1(4). 349–373. 22 indexed citations
11.
Lawphongpanich, Siriphong & Donald W. Hearn. (1990). Benders decomposition for variational inequalities. Mathematical Programming. 48(1-3). 231–247. 9 indexed citations
12.
Hearn, Donald W. & Siriphong Lawphongpanich. (1989). Lagrangian dual ascent by generalized linear programming. Operations Research Letters. 8(4). 189–196. 5 indexed citations
13.
Balberg, I., et al.. (1988). Critical Behavior of the Electrical Resistance and Its Noise in Inverted Random-Void Systems. Physical Review Letters. 60(19). 1887–1890. 24 indexed citations
14.
Hearn, Donald W.. (1984). PRACTICAL AND THEORETICAL ASPECTS OF AGGREGATION PROBLEMS IN TRANSPORTATION PLANNING MODELS. 20 indexed citations
15.
Hearn, Donald W., Siriphong Lawphongpanich, & Sang Quang Nguyen. (1984). Convex programming formulations of the asymmetric traffic assignment problem. Transportation Research Part B Methodological. 18(4-5). 357–365. 22 indexed citations
16.
Hearn, Donald W.. (1982). The gap function of a convex program. Operations Research Letters. 1(2). 67–71. 88 indexed citations
17.
Hearn, Donald W., et al.. (1982). Efficient Algorithms for the (Weighted) Minimum Circle Problem. Operations Research. 30(4). 777–795. 87 indexed citations
18.
Barton, Russell R. & Donald W. Hearn. (1979). Network aggregation in transportation planning models. Rosa P: A digital library for transportation research (United States Department of Transportation). 8 indexed citations
19.
Hearn, Donald W. & Timothy J. Lowe. (1978). A subgradient procedure for the solution of minimax location problems. Computers & Industrial Engineering. 2(1). 17–25. 4 indexed citations
20.
Elzinga, Jack & Donald W. Hearn. (1974). The minimum sphere covering a convex polyhedron. Naval Research Logistics Quarterly. 21(4). 715–718. 9 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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