Mark Andrew

1.5k citations
51 papers · 1.1k · h-index 16

Impact in

  • Finance top 5%
    • Housing, Finance, and Neoliberalism
    • Image Processing Techniques and Applications

Papers in

Mark Andrew

47 papers receiving 980 citations

Peers

Mark Andrew
Comparison fields: 5 of 138
  • Finance 198
  • Media Technology 135
  • Economics and Econometrics 289
  • Urban Studies 62
  • Biophysics 57
Replace Miguel Fuentes with:
Miguel Fuentes United States
David S. C. Biggs United States
MARK A. BUCHANAN United States
Peter M. Lee United States
Edwin L. Crow United States
Paul K. Marriott United Kingdom
Massimiliano Pavan Italy
Gerd Baumann Germany
László Neumann Spain
Richard V. Welch New Zealand
Mark Andrew relative to Miguel Fuentes United States Miguel Fuentes's profile →
Citations per field
00.5×5×10×15×20.7×
Miguel Fuentes · 1×
Citations per year

Countries citing papers authored by Mark Andrew

Since Specialization
Citations

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

Fields of papers citing papers by Mark Andrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997334
2 200090
3 200375
4 200246
5 200939
6 200336
7 200834
8 199834
9 201429
10
Affordability targets: Implications for Housing Supply
200526
11 200625
12 200623
13 201022
14 201921
15 201120
16 199817
17 200416
18 199516
19 201814
20 201013

About Mark Andrew

Mark Andrew is a scholar working on Finance, Economics and Econometrics, Computer Vision and Pattern Recognition, Media Technology and Accounting, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Housing Market and Economics (17 papers), Housing, Finance, and Neoliberalism (11 papers), Financial Literacy, Pension, Retirement Analysis (6 papers), Image and Signal Denoising Methods (5 papers), Advanced X-ray Imaging Techniques (4 papers), Regional Economics and Spatial Analysis (4 papers), Advanced Image Fusion Techniques (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Finance (198 citations), Media Technology (135 citations), Economics and Econometrics (289 citations), Urban Studies (62 citations) and Biophysics (57 citations). Mark Andrew has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include David S. C. Biggs, Geoffrey P. Meen, Emma Thornton, David Baines, S. Craig Roberts, L. M. Gosling, Donald R. Haurin, Abdul Munasib, Fabrice Larceneux and John Talbot Boys. Their work appears in journals such as Electronics Letters, Real Estate Economics, Journal of Housing Economics, IEEE Transactions on Image Processing and Scottish Journal of Political Economy.

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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