Tom Smith

10.7k citations
207 papers · 7.1k · 2 hit papers · h-index 46

Impact in

  • Finance top 0.5%
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling
  • Accounting top 1%
    • Corporate Finance and Governance
    • Auditing, Earnings Management, Governance

Papers in

Tom Smith

190 papers receiving 6.2k citations

Tom Smith's Hit Papers

Big data techniques in auditing research and practice: Current trends and future opportunities 2018 · 252 citations
2520+10+20Years since publication2505007501000

Peers

Tom Smith
Comparison fields: 5 of 197
  • Finance 1.6k
  • Accounting 1.1k
  • Health 642
  • Economics and Econometrics 1.5k
  • General Economics, Econometrics and Finance 443
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Tom Smith relative to Stephen P. Jenkins United Kingdom Stephen P. Jenkins's profile →
Citations per field
00.5×1.7×
Stephen P. Jenkins · 1×
Citations per year

Countries citing papers authored by Tom Smith

Since Specialization
Citations

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

Fields of papers citing papers by Tom Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Asking Sensitive Questions: The Impact of Data Collection Mode, Question Format, and Question Context
Hit paper breakdown →
19961027
2
Big data techniques in auditing research and practice: Current trends and future opportunities
Hit paper breakdown →
2018252
3 1991208
4 1987200
5 2010167
6 1997163
7 1993159
8 1997157
9 1991157
10 1983120
11 1979119
12 2003110
13 1994107
14 2015105
15 1993104
16 2017102
17 199595
18 201594
19 201692
20 201389

About Tom Smith

Tom Smith is a scholar working on Sociology and Political Science, Economics and Econometrics, Finance, Accounting and Health, having authored 207 papers that have together received 7.1k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (32 papers), Corporate Finance and Governance (20 papers), Monetary Policy and Economic Impact (16 papers), Survey Methodology and Nonresponse (15 papers), Market Dynamics and Volatility (14 papers), Auditing, Earnings Management, Governance (11 papers), Urban, Neighborhood, and Segregation Studies (9 papers) and Housing Market and Economics (8 papers). The work is most often cited by research in Finance (1.6k citations), Accounting (1.1k citations), Health (642 citations), Economics and Econometrics (1.5k citations) and General Economics, Econometrics and Finance (443 citations). Tom Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Roger Tourangeau, Matthew Richardson, Robert E. Whaley, Martina K. Linnenluecke, Adrian Gepp, Yushu Zhu, F. Douglas Foster, Máximo Rossi, Natalia Melgar and Karen L. Benson. Their work appears in journals such as Public Opinion Quarterly, International Journal of Public Opinion Research, Australian Journal of Management, Accounting and Finance and Poultry 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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