Kay M. Nelson

1.5k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Kay M. Nelson is a scholar working on Management Information Systems, Information Systems and Strategy and Management. According to data from OpenAlex, Kay M. Nelson has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Information Systems, 10 papers in Information Systems and 5 papers in Strategy and Management. Recurrent topics in Kay M. Nelson's work include Software Engineering Techniques and Practices (7 papers), Information Technology Governance and Strategy (6 papers) and ERP Systems Implementation and Impact (5 papers). Kay M. Nelson is often cited by papers focused on Software Engineering Techniques and Practices (7 papers), Information Technology Governance and Strategy (6 papers) and ERP Systems Implementation and Impact (5 papers). Kay M. Nelson collaborates with scholars based in United States, Australia and Canada. Kay M. Nelson's co-authors include Jay G. Cooprider, V. K. Narayanan, Sucheta Nadkarni, Susan Blackmore, Gavin Brelstaff, Tom Trościanko, Blaize Horner Reich, Miklos A. Vasarhelyi, Rajendra P. Srivastava and Matthew Bovee and has published in prestigious journals such as MIS Quarterly, Biomacromolecules and Journal of Management Information Systems.

In The Last Decade

Kay M. Nelson

22 papers receiving 917 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.

The Contribution of Shared Knowledge to IS Group Performance1

1996 571 citations Kay M. Nelson, Jay G. Cooprider MIS Quarterly profile →

Peers

Kay M. Nelson

MIS

COMMU

SM

ISM

SPS

David Paradice United States

Janice I. DeGross United States

Sue Conger United States

Hind Benbya United States

Debra C. Gash United States

Traci Carte United States

Lakshmi Goel United States

Omar Khalil Kuwait

Eric Walden United States

Ryad Titah Canada

David Paradice United States

Kay M. Nelson

215 ×0.5

MIS

154 ×0.5

COMMU

168 ×0.7

SM

264 ×1.5

ISM

268 ×1.7

SPS

Citations per year, relative to Kay M. Nelson Kay M. Nelson (= 1×) peers David Paradice

Countries citing papers authored by Kay M. Nelson

Since Specialization

Citations

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

Fields of papers citing papers by Kay M. Nelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay M. Nelson. 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 Kay M. Nelson. The network helps show where Kay M. Nelson may publish in the future.

Co-authorship network of co-authors of Kay M. Nelson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Moriello, Karen A., et al.. (2019). Survey Results of the Occurrence of a Seasonal Teat Lesion Syndrome in Dairy Cows in Wisconsin. The Bovine Practitioner. 50–54. 1 indexed citations

2.

Nelson, H. James, Deborah J. Armstrong, & Kay M. Nelson. (2009). Patterns of Transition: The Shift from Traditional to Object-Oriented Development. Journal of Management Information Systems. 25(4). 271–298. 14 indexed citations

3.

Armstrong, Deborah J., H. James Nelson, Kay M. Nelson, & V. K. Narayanan. (2008). Building the IT Workforce of the Future. Information Resources Management Journal. 21(2). 63–79. 8 indexed citations

4.

Bovee, Matthew, Alexander Kogan, Kay M. Nelson, Rajendra P. Srivastava, & Miklos A. Vasarhelyi. (2005). Financial Reporting and Auditing Agent with Net Knowledge (FRAANK) and eXtensible Business Reporting Language (XBRL). Journal of Information Systems. 19(1). 19–41. 84 indexed citations

5.

Reich, Blaize Horner & Kay M. Nelson. (2003). In their own words. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 34(4). 28–44. 55 indexed citations

6.

Srivastava, Rajendra P., Matthew Bovee, Alexander Kogan, Kay M. Nelson, & Miklos A. Vasarhelyi. (2002). Design and Applications of an Intelligent Financial Reporting and Auditing Agent with Net Knowledge (FRAANK). KU ScholarWorks (The University of Kansas). 10. 5 indexed citations

7.

Nelson, Kay M., et al.. (2002). Evaluating the Contributions of a Structured Software Development and Maintenance Methodology. Information Technology and Management. 3(1-2). 11–23. 3 indexed citations

8.

Nelson, Kay M., et al.. (2001). Identifying the Enablers and Barriers of Information Technology Personnel Transition. Journal of the Association for Information Systems. 289–298. 2 indexed citations

9.

Nelson, Kay M. & Jay G. Cooprider. (2001). The Relationship of Software System Flexibility to Software System and Team Performance. Journal of the Association for Information Systems. 23–32. 8 indexed citations

10.

Legorreta, Antonio P., Kay M. Nelson, & H. James Nelson. (2001). FRAMEWORK FOR MEASURING E-BUSINESS ARCHITECTURE FLEXIBILITY. Journal of the Association for Information Systems. 1 indexed citations

11.

Nelson, Kay M., et al.. (2000). Understanding Software Operations Support Expertise: A Revealed Causal Mapping Approach1. MIS Quarterly. 24(3). 475–507. 126 indexed citations

12.

Nelson, Kay M., et al.. (2000). The journey to IS organizational maturity: a case study of a CMM level 3 IS organization. 212–216. 1 indexed citations

13.

Nelson, Kay M., et al.. (2000). Virtual auditing agents: the EDGAR Agent challenge. Decision Support Systems. 28(3). 241–253. 25 indexed citations

14.

Nelson, Kay M., et al.. (2000). Evaluating the CMM Level 3 KPA of Intergroup Coordination: A theory-based approach. Information Technology and Management. 1(3). 171–181. 6 indexed citations

15.

Nelson, Kay M., Rajendra P. Srivastava, Alexander Kogan, & Miklos A. Vasarhelyi. (1999). Inquiring Information Systems in the Boundary-Less World: The FRAANK Example. Journal of the Association for Information Systems. 2 indexed citations

16.

Nelson, Kay M., et al.. (1998). Contributors to quality during software maintenance. Decision Support Systems. 23(4). 361–369. 8 indexed citations

17.

Nelson, Kay M. & Jay G. Cooprider. (1996). The Contribution of Shared Knowledge to IS Group Performance1. MIS Quarterly. 20(4). 409–432. 571 indexed citations breakdown →

18.

Blackmore, Susan, Gavin Brelstaff, Kay M. Nelson, & Tom Trościanko. (1995). Is the Richness of Our Visual World an Illusion? Transsaccadic Memory for Complex Scenes. Perception. 24(9). 1075–1081. 118 indexed citations

19.

Kaufman, Michael W., et al.. (1992). Announcements. Hypatia. 7(2). 236–240. 1 indexed citations

20.

Bowers, Larry D., et al.. (1985). Evidence Supporting 3(S)-3-Hydroxyquinidine-Associated Cardiotoxicity. Therapeutic Drug Monitoring. 7(3). 308–312. 2 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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