Marcus O’Connor

4.0k citations
56 papers · 2.8k · h-index 26

Impact in

Papers in

Marcus O’Connor

54 papers receiving 2.6k citations

Peers

Marcus O’Connor
Comparison fields: 5 of 153
  • General Decision Sciences 681
  • Management Science and Operations Research 1.8k
  • Management Information Systems 301
  • Finance 212
  • General Economics, Econometrics and Finance 155
Replace Dilek Önkal with:
Dilek Önkal Türkiye
John R. Doyle United Kingdom
John Kidd United Kingdom
Κωνσταντίνος Νικολόπουλος United Kingdom
William Remus United States
Robert F. Carbone United States
Ahti Salo Finland
Derek W. Bunn United Kingdom
Denis Bouyssou France
Theodore Groves United States
Marcus O’Connor relative to Dilek Önkal Türkiye Dilek Önkal's profile →
Citations per field
00.5×1.5×2.1×
Dilek Önkal · 1×
Citations per year

Countries citing papers authored by Marcus O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Marcus O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus O’Connor. 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 Marcus O’Connor. The network helps show where Marcus O’Connor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996344
2 2006342
3 1994330
4 1986138
5 1995132
6 1985125
7 1999124
8 1996123
9 199391
10 199887
11 199280
12 200072
13 198860
14 199656
15 199751
16 200046
17 199344
18 199642
19 200440
20 200438

About Marcus O’Connor

Marcus O’Connor is a scholar working on Management Science and Operations Research, General Decision Sciences, Information Systems and Management, Artificial Intelligence and Economics and Econometrics, having authored 56 papers that have together received 2.8k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (35 papers), Decision-Making and Behavioral Economics (19 papers), Stock Market Forecasting Methods (7 papers), Technology Adoption and User Behaviour (6 papers), Neural Networks and Applications (5 papers), Advanced Statistical Methods and Models (5 papers), Advanced Statistical Process Monitoring (4 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in General Decision Sciences (681 citations), Management Science and Operations Research (1.8k citations), Management Information Systems (301 citations), Finance (212 citations) and General Economics, Econometrics and Finance (155 citations). Marcus O’Connor has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Michael Lawrence, William Remus, Tim Hill, Joa Sang Lim, Paul Goodwin, Dilek Önkal, Leorey Marquez, John D’Ambra, Ronald E. Rice and Kenneth Griggs. Their work appears in journals such as International Journal of Forecasting, Journal of Forecasting, Journal of Behavioral Decision Making, Journal of the Association for Information Systems and Management Science.

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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