Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Lean Thinking-Banish Waste and Create Wealth in Your Corporation.
19971.3k citationsGraham K. Rand et al.Journal of the Operational Research Societyprofile →
Decision Systems for Inventory Management and Production Planning
19791.1k citationsGraham K. Rand et al.Journal of the Operational Research Societyprofile →
Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop
1982702 citationsGraham K. Rand et al.Journal of the Operational Research Societyprofile →
Quantitative Applications in the Social Sciences
1983658 citationsGraham K. RandJournal of the Operational Research Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Graham K. Rand
Since
Specialization
Citations
This map shows the geographic impact of Graham K. Rand'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 Graham K. Rand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham K. Rand more than expected).
This network shows the impact of papers produced by Graham K. Rand. 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 Graham K. Rand. The network helps show where Graham K. Rand may publish in the future.
Co-authorship network of co-authors of Graham K. Rand
This figure shows the co-authorship network connecting the top 25 collaborators of Graham K. Rand.
A scholar is included among the top collaborators of Graham K. Rand 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 Graham K. Rand. Graham K. Rand is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rand, Graham K.. (2011). Book Reviews. INFORMS Journal on Applied Analytics. 41(3). 316–320.
6.
Chambers, Andrew & Graham K. Rand. (2010). The operational auditing handbook : auditing business and IT processes. CERN Document Server (European Organization for Nuclear Research).6 indexed citations
7.
Chambers, Andrew & Graham K. Rand. (2010). The operational auditing handbook.1 indexed citations
8.
Tsoukatos, Evangelos & Graham K. Rand. (2007). Cultural Influences on Service Quality and Customer Satisfaction: Evidence from Greek Insurance. SSRN Electronic Journal.
9.
Tsoukatos, Evangelos & Graham K. Rand. (2006). Path Analysis of Perceived Service Quality, Satisfaction and Loyalty in Greek Insurance. SSRN Electronic Journal.1 indexed citations
10.
Tsoukatos, Evangelos, et al.. (2004). Quality improvement in the Greek and Kenyan insurance industries. Lancaster EPrints (Lancaster University).13 indexed citations
11.
Rand, Graham K.. (2001). Forty Years of IFORS. International Transactions in Operational Research. 8(6). 611–633.7 indexed citations
Salhi, Saı̈d & Graham K. Rand. (1987). Improvements to Vehicle Routing Heuristics. Kent Academic Repository (University of Kent).23 indexed citations
16.
Rand, Graham K., et al.. (1987). Surveys in Combinatorial Optimization.. Journal of the Operational Research Society. 38(9). 861–861.14 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.