Daniel Neely

1.4k total citations
45 papers, 965 citations indexed

About

Daniel Neely is a scholar working on Sociology and Political Science, Accounting and Strategy and Management. According to data from OpenAlex, Daniel Neely has authored 45 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Sociology and Political Science, 15 papers in Accounting and 12 papers in Strategy and Management. Recurrent topics in Daniel Neely's work include Nonprofit Sector and Volunteering (31 papers), Auditing, Earnings Management, Governance (11 papers) and Corporate Social Responsibility Reporting (8 papers). Daniel Neely is often cited by papers focused on Nonprofit Sector and Volunteering (31 papers), Auditing, Earnings Management, Governance (11 papers) and Corporate Social Responsibility Reporting (8 papers). Daniel Neely collaborates with scholars based in United States, Canada and New Zealand. Daniel Neely's co-authors include Grace L. Chikoto, Erica Harris, Teresa P. Gordon, Gregory D. Saxton, Chao Guo, Daniel Tinkelman, Jodi L. Gissel, Andrea Alston Roberts, Elizabeth A. M. Searing and Chamara Kuruppu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and Journal of Business Ethics.

In The Last Decade

Daniel Neely

43 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Neely United States 17 707 311 262 176 140 45 965
Teresa P. Gordon United States 14 546 0.8× 284 0.9× 403 1.5× 178 1.0× 114 0.8× 32 990
Daniel Tinkelman United States 10 797 1.1× 259 0.8× 302 1.2× 206 1.2× 187 1.3× 29 964
Ciarán Connolly United Kingdom 19 623 0.9× 364 1.2× 308 1.2× 184 1.0× 276 2.0× 53 1.3k
John M. Trussel United States 11 498 0.7× 186 0.6× 250 1.0× 254 1.4× 227 1.6× 24 802
Belinda Luke Australia 14 238 0.3× 214 0.7× 97 0.4× 110 0.6× 150 1.1× 65 798
J. Adam Cobb United States 11 193 0.3× 348 1.1× 238 0.9× 257 1.5× 97 0.7× 22 915
Michelle Yetman United States 19 726 1.0× 657 2.1× 1.2k 4.4× 325 1.8× 467 3.3× 41 1.7k
Daniel Gingerich United States 14 500 0.7× 197 0.6× 116 0.4× 260 1.5× 130 0.9× 26 1.1k
Rania Kamla United Kingdom 17 382 0.5× 182 0.6× 652 2.5× 163 0.9× 70 0.5× 22 948
Kellie Liket Netherlands 10 172 0.2× 198 0.6× 110 0.4× 118 0.7× 86 0.6× 11 542

Countries citing papers authored by Daniel Neely

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Neely

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Neely. A scholar is included among the top collaborators of Daniel Neely 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 Neely. Daniel Neely 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.
Neely, Daniel, et al.. (2024). The Tax Cut and Jobs Act and its Impact on Nonprofit Organizations. SSRN Electronic Journal.
2.
Neely, Daniel, et al.. (2023). Nonprofit Organizations’ Financial Obligations and the Paycheck Protection Program. Management Science. 69(7). 4353–4361. 2 indexed citations
3.
Becker, Julia, et al.. (2023). Infrastructure planning emergency levels of service for the Wellington region, Aotearoa New Zealand – An operationalised framework. Bulletin of the New Zealand Society for Earthquake Engineering. 56(4). 234–249. 1 indexed citations
4.
5.
Harris, Erica, Daniel Neely, & Gregory D. Saxton. (2021). Social media, signaling, and donations: testing the financial returns on nonprofits’ social media investment. Review of Accounting Studies. 28(2). 658–688. 17 indexed citations
6.
Harris, Erica, Daniel Neely, & Gregory D. Saxton. (2019). Social Media, Signaling, and Donations: Testing the Financial Returns on Nonprofits’ Social Media Investment. SSRN Electronic Journal. 1 indexed citations
7.
Sullins, Jeremiah, Samuel F. Acuff, Daniel Neely, & Xiangen Hu. (2018). When Knowledge Isn't Power: The Influence of Prior Knowledge on Question Generation Training.. Journal of educational multimedia and hypermedia. 27(2). 245–265. 1 indexed citations
8.
Harris, Erica & Daniel Neely. (2018). Determinants and Consequences of Nonprofit Transparency. Journal of Accounting Auditing & Finance. 36(1). 195–220. 52 indexed citations
9.
Neely, Daniel, et al.. (2016). Exploring the Nexus of Nonprofit Financial Stability and Financial Growth. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 27(6). 2561–2575. 22 indexed citations
10.
Gissel, Jodi L., et al.. (2016). Audit quality indicators: perceptions of junior-level auditors. Managerial Auditing Journal. 31(8/9). 949–980. 50 indexed citations
11.
Андерссон, Фредрик & Daniel Neely. (2016). Examining the Role and Diversity of Fiscal Sponsors in the Nonprofit Sector. Nonprofit and Voluntary Sector Quarterly. 46(3). 488–504. 4 indexed citations
12.
Chikoto, Grace L., et al.. (2015). The Adoption and Use of the Hirschman–Herfindahl Index in Nonprofit Research: Does Revenue Diversification Measurement Matter?. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 27(3). 1425–1447. 36 indexed citations
13.
Sullins, Jeremiah, Danielle S. McNamara, Samuel F. Acuff, et al.. (2015). Are you asking the right questions: The use of animated agents to teach learners to become better question askers. The Florida AI Research Society. 479–482. 2 indexed citations
14.
Harris, Erica & Daniel Neely. (2015). Multiple Information Signals in the Market for Charitable Donations. Contemporary Accounting Research. 33(3). 989–1012. 43 indexed citations
15.
Neely, Daniel, et al.. (2015). Accountability Standards for Nonprofit Organizations: Do Organizations Benefit from Certification Programs?. International Journal of Public Administration. 39(6). 470–479. 22 indexed citations
16.
Neely, Daniel, et al.. (2014). Using archival data sources to conduct nonprofit accounting research. Journal of Public Budgeting Accounting & Financial Management. 26(3). 458–493. 35 indexed citations
17.
Neely, Daniel & Daniel Tinkelman. (2013). The Whip Cancer Walk: A case of real earnings management in the nonprofit sector. Journal of Accounting Education. 31(3). 294–309. 5 indexed citations
18.
Neely, Daniel, et al.. (2013). Charitable ratings and financial reporting quality: Evidence from the human service sector. Journal of Public Budgeting Accounting & Financial Management. 25(1). 69–90. 12 indexed citations
19.
Neely, Daniel, et al.. (2012). Implications of Being a Highly Rated Organization: Evidence from Four-Star Rated Nonprofits. Accounting and Finance Research. 1(1). 2 indexed citations
20.
Saxton, Gregory D., Daniel Neely, & Chao Guo. (2011). Web Disclosure and the Market for Charitable Contributions. SSRN Electronic Journal. 29 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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