Susan J. Chinn

614 total citations
9 papers, 416 citations indexed

About

Susan J. Chinn is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Susan J. Chinn has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Management Information Systems. Recurrent topics in Susan J. Chinn's work include Sports, Gender, and Society (2 papers), Business Process Modeling and Analysis (2 papers) and Sports Analytics and Performance (2 papers). Susan J. Chinn is often cited by papers focused on Sports, Gender, and Society (2 papers), Business Process Modeling and Analysis (2 papers) and Sports Analytics and Performance (2 papers). Susan J. Chinn collaborates with scholars based in United States. Susan J. Chinn's co-authors include Jo Williams, Gregory R. Madey, Robert S. Heiser, Peg Thoms and Gary Howard and has published in prestigious journals such as Expert Systems with Applications, Journal of the Association for Information Systems and IEEE Transactions on Engineering Management.

In The Last Decade

Susan J. Chinn

8 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan J. Chinn United States 7 247 146 76 59 56 9 416
Joan-Francesc Fondevila-Gascón Spain 11 175 0.7× 32 0.2× 162 2.1× 48 0.8× 42 0.8× 123 440
Indira R. Guzman United States 9 104 0.4× 58 0.4× 74 1.0× 115 1.9× 24 0.4× 56 368
Anna McNab United States 9 153 0.6× 42 0.3× 40 0.5× 70 1.2× 10 0.2× 16 350
Shivam Bansal India 5 303 1.2× 19 0.1× 65 0.9× 56 0.9× 20 0.4× 12 443
Sunil Hazari United States 12 196 0.8× 20 0.1× 107 1.4× 109 1.8× 137 2.4× 35 462
Jaejoo Lim United States 8 232 0.9× 22 0.2× 67 0.9× 42 0.7× 24 0.4× 13 442
Stephen R. Ruth United States 11 85 0.3× 24 0.2× 33 0.4× 58 1.0× 75 1.3× 36 359
Pedro Mir Bernal Spain 9 137 0.6× 16 0.1× 32 0.4× 30 0.5× 26 0.5× 44 314
Nita Brooks United States 8 66 0.3× 44 0.3× 38 0.5× 59 1.0× 34 0.6× 19 274
Esharenana E. Adomi Nigeria 12 92 0.4× 49 0.3× 30 0.4× 187 3.2× 133 2.4× 44 492

Countries citing papers authored by Susan J. Chinn

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Chinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan J. Chinn. 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 Susan J. Chinn. The network helps show where Susan J. Chinn may publish in the future.

Co-authorship network of co-authors of Susan J. Chinn

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

All Works

9 of 9 papers shown
1.
Williams, Jo, et al.. (2014). The value of Twitter for sports fans. Journal of Direct Data and Digital Marketing Practice. 16(1). 36–50. 32 indexed citations
2.
Williams, Jo, Robert S. Heiser, & Susan J. Chinn. (2012). Social media posters and lurkers: The impact on team identification and game attendance in minor league baseball. Journal of Direct Data and Digital Marketing Practice. 13(4). 295–310. 19 indexed citations
3.
Williams, Jo & Susan J. Chinn. (2010). Meeting Relationship-Marketing Goals Through Social Media: A Conceptual Model for Sport Marketers. International Journal of Sport Communication. 3(4). 422–437. 211 indexed citations
4.
Williams, Jo & Susan J. Chinn. (2009). Using Web 2.0 to Support the Active Learning Experience. Journal of the Association for Information Systems. 20(2). 165–174. 88 indexed citations
5.
Chinn, Susan J., et al.. (2005). Contemporary Usage of CASE Tools in U. S. Colleges and Universities. Journal of the Association for Information Systems. 16(4). 429–436. 1 indexed citations
6.
Thoms, Peg, et al.. (2004). Designing Personable and Informative Job Recruiting Web Sites: Testing the Effect of the Design on Attractiveness and Intent to Apply. Psychological Reports. 94(3). 1031–1042. 15 indexed citations
7.
Chinn, Susan J., et al.. (2002). Using a fuzzy logic decision system to detect engine leaks. 1. 686–689. 1 indexed citations
8.
Chinn, Susan J. & Gregory R. Madey. (2000). Temporal representation and reasoning for workflow in engineering design change review. IEEE Transactions on Engineering Management. 47(4). 485–492. 43 indexed citations
9.
Chinn, Susan J. & Gregory R. Madey. (1997). A framework for developing and evaluating expert systems for temporal business applications. Expert Systems with Applications. 12(3). 393–404. 6 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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