Mark Cummins

5.2k total citations · 3 hit papers
75 papers, 3.6k citations indexed

About

Mark Cummins is a scholar working on Economics and Econometrics, Finance and Aerospace Engineering. According to data from OpenAlex, Mark Cummins has authored 75 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Economics and Econometrics, 31 papers in Finance and 14 papers in Aerospace Engineering. Recurrent topics in Mark Cummins's work include Market Dynamics and Volatility (23 papers), Climate Change Policy and Economics (14 papers) and Robotics and Sensor-Based Localization (14 papers). Mark Cummins is often cited by papers focused on Market Dynamics and Volatility (23 papers), Climate Change Policy and Economics (14 papers) and Robotics and Sensor-Based Localization (14 papers). Mark Cummins collaborates with scholars based in Ireland, United Kingdom and France. Mark Cummins's co-authors include Paul Newman, Paul A. Newman, Ian Reid, Alessandro Bissacco, Hartmut Neven, Michael Dowling, Peter Deeney, P. R. Newman, Gabe Sibley and Christopher Mei and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and Energy Policy.

In The Last Decade

Mark Cummins

69 papers receiving 3.5k citations

Hit Papers

FAB-MAP: Probabilistic Localization and Mapping in the Sp... 2008 2026 2014 2020 2008 2010 2013 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Cummins Ireland 24 2.4k 2.3k 695 412 279 75 3.6k
Xue Mei China 27 2.6k 1.1× 452 0.2× 357 0.5× 194 0.5× 42 0.2× 97 4.7k
Raman Kumar United States 25 1.3k 0.5× 402 0.2× 73 0.1× 273 0.7× 66 0.2× 84 2.3k
Wenbo Du China 36 346 0.1× 874 0.4× 321 0.5× 107 0.3× 4 0.0× 151 4.1k
Zhen Zhu China 22 2.3k 1.0× 652 0.3× 126 0.2× 57 0.1× 26 0.1× 61 3.7k
Θωμάς Λάγκας Greece 25 364 0.1× 592 0.3× 731 1.1× 21 0.1× 37 0.1× 167 2.8k
Patrick Weber Germany 7 291 0.1× 155 0.1× 397 0.6× 28 0.1× 37 0.1× 24 2.2k
Jürgen Döllner Germany 28 1.3k 0.5× 107 0.0× 37 0.1× 44 0.1× 540 1.9× 243 3.1k
M. M. Manohara Pai India 24 297 0.1× 372 0.2× 564 0.8× 33 0.1× 3 0.0× 131 1.7k
Abdallah Khreishah United States 29 901 0.4× 1.8k 0.8× 2.1k 3.0× 15 0.0× 81 0.3× 146 5.1k
Yifan Xu China 18 478 0.2× 62 0.0× 86 0.1× 106 0.3× 24 0.1× 90 1.9k

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-authorship network of co-authors of Mark Cummins

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Cummins. A scholar is included among the top collaborators of Mark Cummins 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 Mark Cummins. Mark Cummins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cummins, Mark, et al.. (2025). A multimodal sentiment classifier for financial decision making. International Review of Financial Analysis. 105. 104322–104322.
2.
Brandon, Michael P., Mark Cummins, Peter Deeney, & Mary T. Pryce. (2024). An assessment of photochemical carbon dioxide utilisation technologies using real options. Sustainable Energy Technologies and Assessments. 72. 103994–103994.
3.
Deeney, Peter & Mark Cummins. (2019). A Review of Real Options Analysis Methods for R&D Valuation in Renewable Energy Research. SSRN Electronic Journal. 1 indexed citations
4.
Rosati, Pierangelo, Peter Deeney, Mark Cummins, Lisa van der Werff, & Theo Lynn. (2018). Social media and stock price reaction to data breach announcements: evidence from US listed companies. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
5.
Rosati, Pierangelo, Peter Deeney, Mark Cummins, Lisa van der Werff, & Theo Lynn. (2018). Should You Disclose a Data Breach via Social Media? Evidence from US Listed Companies. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations
6.
Cummins, Mark, Ciarán Mac an Bhaird, Pierangelo Rosati, & Theo Lynn. (2018). The Lending Performance of Non-Bank Financial Institutions in Online Credit Markets. SSRN Electronic Journal. 2 indexed citations
7.
Cummins, Mark, et al.. (2017). Forecasting implied volatility in foreign exchange markets: a functional time series approach. European Journal of Finance. 24(1). 1–18. 12 indexed citations
8.
Cummins, Mark & Alan F. Smeaton. (2016). Sentiment Effects in the European Emissions Market. SSRN Electronic Journal. 1 indexed citations
9.
Gogolin, Fabian, Michael Dowling, & Mark Cummins. (2016). Individual values and household finances. Applied Economics. 49(35). 3560–3578. 8 indexed citations
10.
Cummins, Mark, et al.. (2016). Psychological price barriers in frontier equities. Journal of International Financial Markets Institutions and Money. 49. 1–14. 6 indexed citations
11.
Cummins, Mark, et al.. (2016). Model Risk in Financial Markets: From Financial Engineering to Risk Management. Quantitative Finance. 16(9). 1333–1337. 4 indexed citations
12.
Cummins, Mark, et al.. (2014). Price discovery analysis of green equity indices using robust asymmetric vector autoregression. International Review of Financial Analysis. 35. 261–267. 5 indexed citations
13.
Cummins, Mark. (2013). Multiple comparisons problem: Recent advances applied to energy and emissions. Applied Economics Letters. 20(9). 903–909. 5 indexed citations
14.
Cummins, Mark, et al.. (2012). A Unified Analysis of Emissions and Energy Market Interactions Across the EU. SSRN Electronic Journal. 2 indexed citations
15.
Cummins, Mark, et al.. (2011). Synthetic Floating Crude Oil Storage and Optimal Statistical Arbitrage: A Model Specification Analysis. SSRN Electronic Journal. 2 indexed citations
16.
Cummins, Mark & Paul Newman. (2010). FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model. Oxford University Research Archive (ORA) (University of Oxford). 3–10. 23 indexed citations
17.
Cummins, Mark, et al.. (2010). Model specification analysis in the methanol markets. 3(4). 87–108.
18.
Posner, Ingmar, Mark Cummins, & Paul Newman. (2009). A generative framework for fast urban labeling using spatial and temporal context. Autonomous Robots. 26(2-3). 153–170. 47 indexed citations
19.
Cummins, Mark & Paul Newman. (2008). FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance. The International Journal of Robotics Research. 27(6). 647–665. 1031 indexed citations breakdown →
20.
Cummins, Mark & Paul A. Newman. (2008). Accelerated appearance-only SLAM. 1828–1833. 60 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.

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