Daniel P. Hampson

1.9k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Daniel P. Hampson is a scholar working on Geophysics, Ocean Engineering and Marketing. According to data from OpenAlex, Daniel P. Hampson has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Geophysics, 17 papers in Ocean Engineering and 11 papers in Marketing. Recurrent topics in Daniel P. Hampson's work include Seismic Imaging and Inversion Techniques (18 papers), Hydraulic Fracturing and Reservoir Analysis (10 papers) and Drilling and Well Engineering (8 papers). Daniel P. Hampson is often cited by papers focused on Seismic Imaging and Inversion Techniques (18 papers), Hydraulic Fracturing and Reservoir Analysis (10 papers) and Drilling and Well Engineering (8 papers). Daniel P. Hampson collaborates with scholars based in China, France and United Kingdom. Daniel P. Hampson's co-authors include Brian Russell, Yonggui Wang, J. Quirein, Brad Bankhead, Myat Su Han, David R. Gray, Shuang Ma, Diandian Xiang, Hong Wang and Huimin Gu and has published in prestigious journals such as Journal of Business Research, Journal of Business Ethics and Geophysics.

In The Last Decade

Daniel P. Hampson

32 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Consumer confidence and green purchase intention: An application of the stimulus-organism-response model

2022 128 citations Myat Su Han, Daniel P. Hampson et al. profile →

Peers

Daniel P. Hampson

GEOPH

OE

ME

MM

MARKE

Haiyan Hu China

Yuping Liu China

Hung-Lian Tang United States

Jingjiang Liu China

Aygül Turan Türkiye

G. Rajendran India

Deming Zeng China

Mahnaz Hosseinzadeh Iran

Youlin Huang China

Dean United States

Haiyan Hu China

Daniel P. Hampson

22 ×0.0

GEOPH

206 ×0.4

OE

93 ×0.2

ME

279 ×0.9

MM

220 ×0.8

MARKE

Citations per year, relative to Daniel P. Hampson Daniel P. Hampson (= 1×) peers Haiyan Hu

Countries citing papers authored by Daniel P. Hampson

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Hampson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Hampson. 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 Daniel P. Hampson. The network helps show where Daniel P. Hampson may publish in the future.

Co-authorship network of co-authors of Daniel P. Hampson

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

All Works

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20 of 20 papers shown

1.

Grimes, Anthony, Stuart Roper, & Daniel P. Hampson. (2025). Religiosity, divine control and consumer resilience during the COVID-19 pandemic. Journal of Marketing Management. 41(11-12). 1229–1258.

2.

Xiang, Diandian, Xia Li, & Daniel P. Hampson. (2023). Service exchange activities in the sharing economy: Professional versus amateur peer providers. Technological Forecasting and Social Change. 196. 122816–122816. 5 indexed citations

3.

Hampson, Daniel P., et al.. (2023). Business cycle effects on consumer behavior: A conceptual framework and research agenda. Psychology and Marketing. 41(2). 379–393. 1 indexed citations

4.

Benoit, Sabine, Yonggui Wang, Lefa Teng, Daniel P. Hampson, & Xia Li. (2022). Innovation in the sharing economy: A framework and future research agenda. Journal of Business Research. 149. 207–216. 27 indexed citations

5.

Han, Myat Su, Daniel P. Hampson, & Yonggui Wang. (2021). Two facets of pride and knowledge hiding: an empirical analysis. Journal of Knowledge Management. 26(10). 2602–2617. 12 indexed citations

6.

Hampson, Daniel P., Shuang Ma, Yonggui Wang, & Myat Su Han. (2021). Consumer confidence and conspicuous consumption: A conservation of resources perspective. International Journal of Consumer Studies. 45(6). 1392–1409. 26 indexed citations

7.

Downton, Jonathan E., et al.. (2020). Theory-guided data science-based reservoir prediction of a North Sea oil field. The Leading Edge. 39(10). 742–750. 27 indexed citations

8.

Hampson, Daniel P., Shiyang Gong, & Yi Xie. (2020). How consumer confidence affects price conscious behavior: The roles of financial vulnerability and locus of control. Journal of Business Research. 132. 693–704. 40 indexed citations

9.

Downton, Jonathan E., et al.. (2020). Combining Rock Physics and Machine Learning for Optimized Reservoir Characterization. 1–5. 1 indexed citations

10.

Wang, Yonggui, Daniel P. Hampson, & Myat Su Han. (2020). Relationship closeness paradox: contingency analysis in B2B sales. Journal of Business and Industrial Marketing. 35(6). 971–982. 5 indexed citations

11.

Ma, Shuang, Huimin Gu, Yonggui Wang, & Daniel P. Hampson. (2017). Opportunities and challenges of value co-creation. International Journal of Contemporary Hospitality Management. 29(12). 3023–3043. 47 indexed citations

12.

Russell, Brian, David R. Gray, & Daniel P. Hampson. (2011). Linearized AVO and poroelasticity. Geophysics. 76(3). C19–C29. 198 indexed citations

13.

Russell, Brian, et al.. (2005). Joint simultaneous inversion of PP and PS angle gathers. 17 indexed citations

14.

Hampson, Daniel P., et al.. (2005). Simultaneous Inversion of PP and PS Seismic Data – A Case History from Western Canada.

15.

Russell, Brian, Daniel P. Hampson, & Laurence R. Lines. (2004). A case study in the local estimation of shear‐wave logs. 390–393. 3 indexed citations

16.

Lines, Laurence R., et al.. (2003). Application of the radial basis function neural network to the prediction of log properties from seismic attributes. Exploration Geophysics. 34(1). 15–23. 29 indexed citations

17.

Russell, Brian, Daniel P. Hampson, Todor I. Todorov, & Laurence R. Lines. (2002). COMBINING GEOSTATISTICS AND MULTI‐ATTRIBUTE TRANSFORMS: A CHANNEL SAND CASE STUDY, BLACKFOOT OILFIELD (ALBERTA). Journal of Petroleum Geology. 25(1). 97–117. 8 indexed citations

18.

Hampson, Daniel P. & Todor I. Todorov. (1999). AVO lithology prediction using multiple seismic attributes. 756–759. 5 indexed citations

19.

Todorov, Todor I., Robert Stewart, Daniel P. Hampson, & Brian Russell. (1998). EXTENDED ABSTRACT: Well log prediction using attributes from 3C-3D seismic data. 228–229. 1 indexed citations

20.

Hampson, Daniel P. & Brian Russell. (1990). AVO inversion: Theory and practice. 1456–1458. 8 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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