Mark Cummins

5.2k citations
75 papers · 3.6k · 3 hit papers · h-index 24

Impact in

Papers in

    • Market Dynamics and Volatility 23
    • Climate Change Policy and Economics 14
    • Financial Markets and Investment Strategies 13
    • Financial Risk and Volatility Modeling 10

Mark Cummins

69 papers receiving 3.5k citations

Hit Papers

PhotoOCR: Reading Text in Uncontrolled Conditions 2013 · 304 citations
3040+6+12Years since publication2505007501000

Peers

Mark Cummins
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 2.4k
  • Aerospace Engineering 2.3k
  • Geology 279
  • Finance 222
  • Media Technology 141
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Xue Mei China
Raman Kumar United States
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Θωμάς Λάγκας Greece
Yifan Xu China
Zhen Zhu China
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Wenbo Du China
Abdallah Khreishah United States
Jun‐Ho Huh South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mark Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Mark Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
Hit paper breakdown →
20081031
2
Appearance-only SLAM at large scale with FAB-MAP 2.0
Hit paper breakdown →
2010425
3
PhotoOCR: Reading Text in Uncontrolled Conditions
Hit paper breakdown →
2013304
4 2009219
5 2009196
6 2010147
7 2007113
8 2009101
9 200395
10 200980
11 201578
12 201762
13 200860
14 201455
15 201851
16 201250
17 200947
18 201845
19 200837
20 201535

About Mark Cummins

Mark Cummins is a scholar working on Economics and Econometrics, Finance, Aerospace Engineering, Computer Vision and Pattern Recognition and General Economics, Econometrics and Finance, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (23 papers), Climate Change Policy and Economics (14 papers), Robotics and Sensor-Based Localization (14 papers), Financial Markets and Investment Strategies (13 papers), Financial Risk and Volatility Modeling (10 papers), Monetary Policy and Economic Impact (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Energy, Environment, and Transportation Policies (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Aerospace Engineering (2.3k citations), Geology (279 citations), Finance (222 citations) and Media Technology (141 citations). Mark Cummins has collaborated with scholars based in Ireland, United Kingdom and France. Frequent co-authors include Paul Newman, Paul A. Newman, Ian Reid, Hartmut Neven, Alessandro Bissacco, Michael Dowling, Peter Deeney, P. R. Newman, Gabe Sibley and Christopher Mei. Their work appears in journals such as International Review of Financial Analysis, The International Journal of Robotics Research, Finance research letters, Energy Policy and Quantitative Finance.

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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