Barbara M. Smith

2.9k total citations
41 papers, 1.2k citations indexed

About

Barbara M. Smith is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Barbara M. Smith has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 14 papers in Management Science and Operations Research and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Barbara M. Smith's work include Constraint Satisfaction and Optimization (20 papers), Scheduling and Timetabling Solutions (14 papers) and Data Management and Algorithms (9 papers). Barbara M. Smith is often cited by papers focused on Constraint Satisfaction and Optimization (20 papers), Scheduling and Timetabling Solutions (14 papers) and Data Management and Algorithms (9 papers). Barbara M. Smith collaborates with scholars based in United Kingdom, Ireland and Canada. Barbara M. Smith's co-authors include Sally Brailsford, Chris N. Potts, Martin Dyer, Ian P. Gent, Anthony Wren, Toby Walsh, Brahim Hnich, Steven Prestwich, Frances Aranda and Ewan MacIntyre and has published in prestigious journals such as European Journal of Operational Research, British Journal Of Nutrition and Artificial Intelligence.

In The Last Decade

Barbara M. Smith

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara M. Smith United Kingdom	18	679	360	326	293	269	41	1.2k
Itay Meiri United States	7	1.1k 1.7×	880 2.4×	181 0.6×	140 0.5×	479 1.8×	8	1.5k
Patrick Prosser United Kingdom	17	747 1.1×	494 1.4×	355 1.1×	220 0.8×	291 1.1×	48	1.2k
Roland H. C. Yap Singapore	15	670 1.0×	620 1.7×	69 0.2×	85 0.3×	375 1.4×	103	1.2k
Kutluhan Erol United States	13	292 0.4×	947 2.6×	79 0.2×	35 0.1×	61 0.2×	19	1.2k
Sicco Verwer Netherlands	14	237 0.3×	620 1.7×	41 0.1×	55 0.2×	86 0.3×	62	1.1k
James R. Slagle United States	18	168 0.2×	840 2.3×	86 0.3×	52 0.2×	57 0.2×	79	1.2k
Bryan Horling United States	17	439 0.6×	667 1.9×	66 0.2×	204 0.7×	49 0.2×	46	1.1k
Michael Schrefl Austria	17	447 0.7×	556 1.5×	31 0.1×	89 0.3×	168 0.6×	116	1.0k
Luca Console Italy	22	428 0.6×	1.1k 3.2×	61 0.2×	50 0.2×	107 0.4×	73	1.8k
Greg Gagne United States	8	756 1.1×	210 0.6×	71 0.2×	45 0.2×	81 0.3×	16	1.2k

Countries citing papers authored by Barbara M. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Barbara M. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara M. Smith. 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 Barbara M. Smith. The network helps show where Barbara M. Smith may publish in the future.

Co-authorship network of co-authors of Barbara M. Smith

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

All Works

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20 of 20 papers shown

Beck, J. Christopher & Barbara M. Smith. (2008). Introduction to the special volume on constraint programming, artificial intelligence, and operations research. Annals of Operations Research. 171(1). 1–2. 1 indexed citations

Gent, Ian P., Christopher Jefferson, Tom Kelsey, et al.. (2007). Search in the patience game ‘Black Hole’. AI Communications. 20(3). 211–226. 8 indexed citations

Tarim, Ş. Armağan & Barbara M. Smith. (2007). Constraint programming for computing non-stationary (R,S) inventory policies. European Journal of Operational Research. 189(3). 1004–1021. 26 indexed citations

Cohen, David A., Peter Jeavons, Christopher Jefferson, Karen E. Petrie, & Barbara M. Smith. (2006). Constraint symmetry and solution symmetry. Oxford University Research Archive (ORA) (University of Oxford). 1589–1592. 1 indexed citations

Petrie, Karen E., Barbara M. Smith, & Neil Yorke‐Smith. (2004). Dynamic Symmetry Breaking in Constraint Programming and Linear Programming Hybrids. 4 indexed citations

Smith, Barbara M. & Samuel W. Bennett. (2003). Combining constraint satisfaction and local improvement algorithms to construct anaesthetists' rotas. 106–112. 6 indexed citations

Smith, Barbara M.. (2001). Constructing an asymptotic phase transition in random binary constraint satisfaction problems. Theoretical Computer Science. 265(1-2). 265–283. 27 indexed citations

Gent, Ian P. & Barbara M. Smith. (2000). Symmetry breaking in constraint programming. European Conference on Artificial Intelligence. 599–603. 80 indexed citations

Smith, Barbara M., Kostas Stergiou, & Toby Walsh. (2000). Using Auxiliary Variables and Implied Constraints to Model Non-Binary Problems. National Conference on Artificial Intelligence. 182–187. 23 indexed citations

10.

Smith, Barbara M., Kostas Stergiou, & Toby Walsh. (1999). Modelling the Golomb Ruler Problem. OpenGrey (Institut de l'Information Scientifique et Technique). 7 indexed citations

11.

Smith, Barbara M., et al.. (1998). Trying Harder to Fail First.. OpenGrey (Institut de l'Information Scientifique et Technique). 249–253. 44 indexed citations

12.

Smith, Barbara M., et al.. (1996). The Phase Transition Behaviour of Maintaining Arc Consistency.. European Conference on Artificial Intelligence. 175–179. 15 indexed citations

13.

Smith, Barbara M. & Martin Dyer. (1996). Locating the phase transition in binary constraint satisfaction problems. Artificial Intelligence. 81(1-2). 155–181. 122 indexed citations

14.

Smith, Barbara M., et al.. (1995). Sparse constraint graphs and exceptionally hard problems. International Joint Conference on Artificial Intelligence. 646–651. 33 indexed citations

15.

Smith, Barbara M.. (1994). The phase transition and the mushy region in constraint satisfaction problems. European Conference on Artificial Intelligence. 18(2). 100–104. 63 indexed citations

16.

Smith, Barbara M.. (1993). Using heuristics for constraint satisfaction problems in scheduling. 3 indexed citations

17.

Smith, Barbara M., et al.. (1993). The role of built-in knowledge in adaptive interface systems. 97–104. 12 indexed citations

18.

Smith, Barbara M., et al.. (1992). DB_Habits: comparing minimal knowledge and knowledge-based approaches to pattern recognition in the domain of user-computer interactions. OpenGrey (Institut de l'Information Scientifique et Technique). 39–63. 14 indexed citations

19.

Smith, Barbara M.. (1992). How to solve the Zebra problem, or path consistency the easy way. European Conference on Artificial Intelligence. 36–37. 8 indexed citations

20.

Smith, Barbara M., et al.. (1988). A brief introduction to reason maintenance systems. 4–20. 2 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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