William Leigh

1.3k citations
33 papers · 785 indexed · h-index 11

William Leigh

26 papers receiving 709 citations

Peers

William Leigh
Comparison fields: 5 of 86
  • Management Science and Operations Research 446
  • Finance 145
  • Management Information Systems 121
  • Signal Processing 109
  • Medical Laboratory Technology 15
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Citations per field
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Citations per year

Countries citing papers authored by William Leigh

Since Specialization
Citations

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

Fields of papers citing papers by William Leigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Leigh. 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 William Leigh. The network helps show where William Leigh may publish in the future.

Co-authorship network

The 17 scholars most cited alongside William Leigh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Leigh Line = papers co-authored together William Leigh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Historical Impulse Response of Return Analysis Shows Information Technology Improves Stock Market Efficiency
20091
2 20072
3 200729
4 200449
5 2003121
6 200252
7
SPREADSHEET-BASED DSS CURRICULUM ISSUES
20021
8 20005
9 19944
10 199471
11 19920
12 19922
13 19901
14
Distributed intelligence: Trade-offs and decisions for computer information systems
19876
15
SORT-AID with RANK: search postprocessing tools for automating the determination of citation relevance
19861
16 19861
17
Using microcomputers: A hands-on introduction
19861
18 19861
19
Programming Business Systems with Basic
19840
20
Interpretation of natural language database queries using optimization methods (linguistics)
19840

About William Leigh

William Leigh is a scholar working on Management Science and Operations Research, Finance, Management Information Systems, Economics and Econometrics and Communication, having authored 33 papers that have together received 785 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (9 papers), Complex Systems and Time Series Analysis (7 papers), Financial Markets and Investment Strategies (6 papers), Advanced Database Systems and Queries (3 papers), Semantic Web and Ontologies (3 papers), Assembly Line Balancing Optimization (2 papers), Scheduling and Optimization Algorithms (2 papers) and ERP Systems Implementation and Impact (2 papers). The work is most often cited by research in Management Science and Operations Research (446 citations), Finance (145 citations), Management Information Systems (121 citations), Signal Processing (109 citations) and Medical Laboratory Technology (15 citations). William Leigh has collaborated with scholars based in United States, Latvia and Switzerland. Frequent co-authors include Russell L. Purvis, James M. Ragusa, Tom Roberts, Gordon E. McCray, Ross Hightower, Michael E. Doherty, Steven Hornik, J. C. Scaiano, Peter J. Wagner and Michael A. Meador. Their work appears in journals such as Expert Systems with Applications, Computers & Industrial Engineering, Decision Support Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Journal of the Association for Information Systems.

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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