Kevin R. Smith

3.1k citations
72 papers · 2.0k indexed · h-index 25
Topics
Auditing, Earnings Management, Governance (13 papers)CRISPR and Genetic Engineering (9 papers)Animal Genetics and Reproduction (7 papers)

In The Last Decade

Kevin R. Smith

70 papers receiving 1.9k citations

Peers

Kevin R. Smith
Comparison fields: 5 of 174
  • Molecular Biology 537
  • Accounting 305
  • Strategy and Management 242
  • Genetics 231
  • Health, Toxicology and Mutagenesis 191
Replace Richard D. Phillips with:
Richard D. Phillips United States
William J. Hunter United States
John R. Robinson United States
Yan Tong United States
Yu‐Fen Chen Taiwan
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Kevin R. Smith relative to Richard D. Phillips United States Richard D. Phillips's profile →
Citations per field
00.5×4.5×
Richard D. Phillips · 1×
Citations per year

Countries citing papers authored by Kevin R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Kevin R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin R. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Smith. A scholar is included among the top collaborators of Kevin R. Smith 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 Kevin R. Smith. Kevin R. Smith 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
#WorkIndexed citations
1 20
2 8
3 23
4
The Journey from Historical Cost Accounting to Fair Value Accounting: The Case of Acquisition Costs
5
5 34
6 17
7 39
8 7
9 29
10 4
11 33
12 33
13 151
14 25
15 32
16 15
17 90
18 35
19 30
20 74

About Kevin R. Smith

Kevin R. Smith is a scholar working on Accounting, General Energy and Complementary and alternative medicine, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (13 papers), CRISPR and Genetic Engineering (9 papers) and Animal Genetics and Reproduction (7 papers). The work is most often cited by research in Accounting (305 citations), Biochemistry (157 citations) and Strategy and Management (242 citations). Kevin R. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ann E. Aust, Corrado Spadafora, Christopher J. Skousen, Charlotte J. Wright, Michael Ettredge, Lili Sun, Susan Scholz, Kent E. Pinkerton, Gregory Hickok and Ronald T. Borchardt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Immunology.

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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