Uwe H. Suhl

606 total citations
12 papers, 266 citations indexed

About

Uwe H. Suhl is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Uwe H. Suhl has authored 12 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Control and Systems Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Uwe H. Suhl's work include Advanced Optimization Algorithms Research (4 papers), Optimization and Mathematical Programming (3 papers) and Matrix Theory and Algorithms (3 papers). Uwe H. Suhl is often cited by papers focused on Advanced Optimization Algorithms Research (4 papers), Optimization and Mathematical Programming (3 papers) and Matrix Theory and Algorithms (3 papers). Uwe H. Suhl collaborates with scholars based in Germany, United States and Hungary. Uwe H. Suhl's co-authors include Leena Suhl, Ellis L. Johnson, Michael M. Kostreva and Achim Koberstein and has published in prestigious journals such as European Journal of Operational Research, Operations Research and Mathematical Programming.

In The Last Decade

Uwe H. Suhl

11 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uwe H. Suhl Germany	9	122	105	93	57	45	12	266
T. R. Jefferson United States	10	143 1.2×	65 0.6×	151 1.6×	98 1.7×	24 0.5×	54	309
Oliver Bastert Germany	4	95 0.8×	95 0.9×	54 0.6×	42 0.7×	53 1.2×	5	251
Benjamin Jansen Netherlands	12	191 1.6×	58 0.6×	223 2.4×	86 1.5×	19 0.4×	20	369
Oleg Shcherbina Austria	5	145 1.2×	35 0.3×	100 1.1×	60 1.1×	42 0.9×	16	286
Michael Perregaard Denmark	9	75 0.6×	179 1.7×	45 0.5×	40 0.7×	68 1.5×	10	283
Kati Wolter Germany	6	143 1.2×	96 0.9×	69 0.7×	47 0.8×	64 1.4×	6	310
Norman Zadeh United States	9	101 0.8×	68 0.6×	37 0.4×	26 0.5×	75 1.7×	14	265
Ivo Nowak Germany	8	72 0.6×	28 0.3×	104 1.1×	98 1.7×	30 0.7×	17	217
F. Margot Switzerland	7	132 1.1×	123 1.2×	34 0.4×	15 0.3×	45 1.0×	10	258
Alberto Del Pia United States	10	159 1.3×	94 0.9×	105 1.1×	38 0.7×	24 0.5×	37	320

Countries citing papers authored by Uwe H. Suhl

Since Specialization

Citations

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

Fields of papers citing papers by Uwe H. Suhl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe H. Suhl

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

All Works

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12 of 12 papers shown

1.

Koberstein, Achim, et al.. (2011). Pivot-and-reduce cuts: An approach for improving Gomory mixed-integer cuts. European Journal of Operational Research. 214(1). 15–26.

2.

Koberstein, Achim & Uwe H. Suhl. (2007). Progress in the dual simplex method for large scale LP problems: practical dual phase 1 algorithms. Computational Optimization and Applications. 37(1). 49–65. 12 indexed citations

3.

Suhl, Uwe H., et al.. (2003). Advanced preprocessing techniques for linear and quadratic programming. OR Spectrum. 25(4). 575–595. 34 indexed citations

4.

Suhl, Uwe H., et al.. (1998). A branch-and-cut algorithm for solving generalized multiperiod Steiner problems in graphs. Networks. 31(4). 273–282. 2 indexed citations

5.

Suhl, Uwe H.. (1994). MOPS — Mathematical optimization system. European Journal of Operational Research. 72(2). 312–322. 25 indexed citations

6.

Suhl, Uwe H., et al.. (1994). Supernode processing of mixed-integer models. Computational Optimization and Applications. 3(4). 317–331. 10 indexed citations

7.

Suhl, Leena & Uwe H. Suhl. (1993). A fast LU update for linear programming. Annals of Operations Research. 43(1). 33–47. 27 indexed citations

8.

Suhl, Uwe H. & Leena Suhl. (1990). Computing Sparse LU Factorizations for Large-Scale Linear Programming Bases. INFORMS Journal on Computing. 2(4). 325–335. 44 indexed citations

9.

Johnson, Ellis L., Michael M. Kostreva, & Uwe H. Suhl. (1985). Solving 0-1 Integer Programming Problems Arising from Large Scale Planning Models. Operations Research. 33(4). 803–819. 83 indexed citations

10.

Suhl, Uwe H.. (1985). Solving large-scale mixed-integer programs with fixed charge variables. Mathematical Programming. 32(2). 165–182. 10 indexed citations

11.

Johnson, Ellis L. & Uwe H. Suhl. (1980). Experiments in integer programming. Discrete Applied Mathematics. 2(1). 39–55. 14 indexed citations

12.

Suhl, Uwe H.. (1978). An algorithm and efficient data structures for the binary knapsack problem. European Journal of Operational Research. 2(6). 420–428. 5 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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