Ann Pearson

474 total citations
9 papers, 310 citations indexed

About

Ann Pearson is a scholar working on Information Systems and Management, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Ann Pearson has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems and Management, 7 papers in Sociology and Political Science and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Ann Pearson's work include Technology Adoption and User Behaviour (8 papers), Digital Marketing and Social Media (6 papers) and Customer Service Quality and Loyalty (4 papers). Ann Pearson is often cited by papers focused on Technology Adoption and User Behaviour (8 papers), Digital Marketing and Social Media (6 papers) and Customer Service Quality and Loyalty (4 papers). Ann Pearson collaborates with scholars based in United States. Ann Pearson's co-authors include Chris Griffin, John Pearson, Suresh K. Tadisina, David Green, Peter P. Mykytyn and Souren Paul and has published in prestigious journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems and Information Systems Management.

In The Last Decade

Ann Pearson

9 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ann Pearson United States	6	202	126	81	70	51	9	310
Jussi Puhakainen Finland	5	251 1.2×	177 1.4×	52 0.6×	39 0.6×	52 1.0×	6	314
Assion Lawson‐Body United States	9	125 0.6×	96 0.8×	97 1.2×	93 1.3×	43 0.8×	26	335
Laura Munoz United States	6	103 0.5×	93 0.7×	58 0.7×	64 0.9×	24 0.5×	19	298
Kholoud AlQeisi Jordan	5	207 1.0×	141 1.1×	57 0.7×	72 1.0×	28 0.5×	8	297
Mona Jami Pour Iran	13	146 0.7×	206 1.6×	91 1.1×	116 1.7×	30 0.6×	44	424
P. Walden Finland	7	335 1.7×	269 2.1×	73 0.9×	90 1.3×	63 1.2×	18	452
Jeung-tai E. Tang Taiwan	6	214 1.1×	148 1.2×	134 1.7×	74 1.1×	26 0.5×	11	335
Raymond D. Frost United States	7	102 0.5×	145 1.2×	75 0.9×	115 1.6×	55 1.1×	24	346
Chin-Chao Lin Taiwan	5	156 0.8×	184 1.5×	90 1.1×	83 1.2×	43 0.8×	6	327
Lauren B. Eder United States	9	208 1.0×	154 1.2×	41 0.5×	42 0.6×	41 0.8×	16	368

Countries citing papers authored by Ann Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Ann Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Pearson. A scholar is included among the top collaborators of Ann Pearson 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 Ann Pearson. Ann Pearson 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:

9 of 9 papers shown

1.

Pearson, John & Ann Pearson. (2016). An Exploratory Study into Determining the Relative Importance of Key Criteria in Web Usability: A Multi-Criteria Approach. Journal of Computer Information Systems. 48(4). 115–127. 17 indexed citations

2.

Pearson, Ann, Suresh K. Tadisina, & Chris Griffin. (2012). The Role of E-Service Quality and Information Quality in Creating Perceived Value: Antecedents to Web Site Loyalty. Information Systems Management. 29(3). 201–215. 102 indexed citations

3.

Pearson, Ann, John Pearson, & Chris Griffin. (2009). Innovating with Technology: The Impact of Overload, Autonomy, and Work and Family Conflict. Journal of the Association for Information Systems. 9(4). 5. 13 indexed citations

4.

Mykytyn, Peter P. & Ann Pearson. (2009). An exploratory examination of the impact of web functionality across the customer service life cycle: a multi-criteria approach. 154–154. 1 indexed citations

5.

Pearson, Ann & Peter P. Mykytyn. (2009). Importance of Web Functionality Support for the Individual Stages of the Customer Service Life Cycle. Journal of Internet Commerce. 8(3-4). 198–221. 3 indexed citations

6.

Pearson, Ann, et al.. (2009). Explaining Web Technology Diffusion: An Institutional Theory Perspective. Communications of the Association for Information Systems. 25. 4 indexed citations

7.

Pearson, Ann, et al.. (2008). The Use of Problem‐Based Learning to Enhance MIS Education. Decision Sciences Journal of Innovative Education. 6(1). 89–113. 30 indexed citations

8.

Pearson, John, Ann Pearson, & David Green. (2007). Determining the importance of key criteria in web usability. Management Research News. 30(11). 816–828. 73 indexed citations

9.

Pearson, Ann, et al.. (2006). E-Commerce Adoption: Perceptions of Managers/Owners of Small- and Medium-Sized Enterprises (SMEs) in Thailand. Journal of Internet Commerce. 5(3). 53–82. 67 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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