Tony Gear

1.4k citations
32 papers · 1.0k indexed · 1 hit paper · h-index 9

Tony Gear

30 papers receiving 911 citations

Hit Papers

On a short-coming of Saaty's method of analytic hierarchies6721983202619972011200400600

Peers

Tony Gear
Comparison fields: 5 of 120
  • Management Science and Operations Research 652
  • Management of Technology and Innovation 130
  • Management Information Systems 84
  • Strategy and Management 119
  • General Decision Sciences 14
Replace William C. Wedley with:
William C. Wedley Canada
Luiz Flávio Autran Monteiro Gomes Brazil
Marı́a Teresa Escobar Spain
Ido Millet United States
Linda Leung Hong Kong
Jean‐Pierre Brans Belgium
Ewa Roszkowska Poland
Te‐Yi Chang Taiwan
İrfan Ertuğrul Türkiye
Nilsen Karakaşoğlu Türkiye
Tony Gear relative to William C. Wedley Canada William C. Wedley's profile →
Citations per field
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William C. Wedley · 1×
Citations per year

Countries citing papers authored by Tony Gear

Since Specialization
Citations

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

Fields of papers citing papers by Tony Gear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Tony Gear, 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 Tony Gear Line = papers co-authored together Tony Gear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20182
2 20174
3 20154
4
Using a group decision support system to make investment prioritisation decisions
20134
5 20115
6 20085
7 20033
8 200316
9 20002
10 20002
11
Process support for meetings
19942
12
Interactive group decision support
19914
13 19856
14 1985142
15
On a short-coming of Saaty's method of analytic hierarchiesbreakdown →
1983672
16 198210
17 198048
18 19779
19
Introduction to planning and decision models
19741
20 19741

About Tony Gear

Tony Gear is a scholar working on General Decision Sciences, Management Science and Operations Research and Communication, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Team Dynamics and Performance (9 papers), Multi-Criteria Decision Making (4 papers), Knowledge Management and Sharing (4 papers), Complex Systems and Decision Making (3 papers), Decision-Making and Behavioral Economics (2 papers), Optimization and Mathematical Programming (2 papers), Forecasting Techniques and Applications (2 papers) and Organizational Management and Leadership (2 papers). The work is most often cited by research in Management Science and Operations Research (652 citations), Management of Technology and Innovation (130 citations) and Management Information Systems (84 citations). Tony Gear has collaborated with scholars based in United Kingdom, New Zealand and Libya. Frequent co-authors include Valerie Belton, Martin Read, Barry J. Davies, Steve Baron, Russ Vince, A. L. Minkes, Wayne Richards, A.P. Mühlemann, Lee Dobson and Craig Morgan. Their work appears in journals such as European Journal of Operational Research, Journal of the Operational Research Society and Human Relations.

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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