Malcolm Greig

66 papers receiving 608 citations

Peers

Malcolm Greig
Comparison fields: 5 of 87
  • Discrete Mathematics and Combinatorics 117
  • Management of Technology and Innovation 71
  • Business and International Management 15
  • Management Science and Operations Research 85
  • Artificial Intelligence 223
Replace Anuradha Sharma with:
Anuradha Sharma India
Chris Berg Australia
Jinsong Tan China
Roger Ware United States
Frank W. Takes Netherlands
Lennart F. Hoogerheide Netherlands
Matthias Stürmer Switzerland
Jeho Lee South Korea
Tijs Adriaan Van Den Broek Netherlands
Shamshul Bahri Malaysia
Malcolm Greig relative to Anuradha Sharma India Anuradha Sharma's profile →
Citations per field
00.5×2×4×6×8.5×
Anuradha Sharma · 1×
Citations per year

Countries citing papers authored by Malcolm Greig

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Greig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Malcolm Greig, 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 Malcolm Greig Line = papers co-authored together Malcolm Greig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199863
2 200133
3 199632
4 200032
5 200431
6 200526
7 199925
8 200222
9
Some new RBIBDs with block size 5 and PBDs with block sizes ≡1 mod 5.
199722
10 201021
11
Study on Employment in Rural Areas
200621
12 200521
13 200118
14
199816
15
Wired for work? : ICT and job seeking in rural areas
200316
16 200315
17 199713
18 200112
19 200612
20 200112

About Malcolm Greig

Malcolm Greig is a scholar working on Discrete Mathematics and Combinatorics, Management Science and Operations Research, Electrical and Electronic Engineering, Artificial Intelligence and Economics and Econometrics, having authored 69 papers that have together received 693 indexed citations. Recurring topics across this work include graph theory and CDMA systems (44 papers), Coding theory and cryptography (26 papers), Optimal Experimental Design Methods (16 papers), Finite Group Theory Research (13 papers), Labor market dynamics and wage inequality (4 papers), Employment and Welfare Studies (4 papers), Rural development and sustainability (3 papers) and Regional Economics and Spatial Analysis (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (117 citations), Management of Technology and Innovation (71 citations), Business and International Management (15 citations), Management Science and Operations Research (85 citations) and Artificial Intelligence (223 citations). Malcolm Greig has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Ronald William McQuaid, R. Julian R. Abel, John Adams, Colin Lindsay, Keith S. Glancey, Gennian Ge, Alexander Rosa, G. Ge, Charles J. Colbourn and Richard Harrison. Their work appears in journals such as Discrete Mathematics, Journal of Combinatorial Designs, Designs Codes and Cryptography, Local Economy The Journal of the Local Economy Policy Unit and Journal of Statistical Planning and Inference.

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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