G. Shankaranarayanan

1.1k total citations
44 papers, 726 citations indexed

About

G. Shankaranarayanan is a scholar working on Management Science and Operations Research, Management Information Systems and Information Systems. According to data from OpenAlex, G. Shankaranarayanan has authored 44 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 28 papers in Management Information Systems and 18 papers in Information Systems. Recurrent topics in G. Shankaranarayanan's work include Data Quality and Management (30 papers), Big Data and Business Intelligence (23 papers) and Data Mining Algorithms and Applications (11 papers). G. Shankaranarayanan is often cited by papers focused on Data Quality and Management (30 papers), Big Data and Business Intelligence (23 papers) and Data Mining Algorithms and Applications (11 papers). G. Shankaranarayanan collaborates with scholars based in United States and Israel. G. Shankaranarayanan's co-authors include Adir Even, Stephanie Watts, Paul D. Berger, Rubén Mancha, Richard Y. Wang, B. R. Iyer, Melanie L. Lenard, Bin Zhu, George M. Wyner and Steven R. Gordon and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.

In The Last Decade

G. Shankaranarayanan

43 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Shankaranarayanan United States 14 441 361 232 120 98 44 726
Adir Even Israel 13 337 0.8× 363 1.0× 166 0.7× 95 0.8× 81 0.8× 41 643
Hongwei Zhu United States 13 306 0.7× 338 0.9× 280 1.2× 249 2.1× 55 0.6× 69 779
Ismael Caballero Spain 15 338 0.8× 340 0.9× 310 1.3× 115 1.0× 63 0.6× 62 686
Thilini Ariyachandra United States 11 257 0.6× 573 1.6× 151 0.7× 44 0.4× 104 1.1× 34 774
Wilfried Lemahieu Belgium 14 146 0.3× 272 0.8× 216 0.9× 227 1.9× 46 0.5× 61 737
Oliver Müller Germany 12 227 0.5× 562 1.6× 205 0.9× 94 0.8× 117 1.2× 32 976
H.G. Sol Netherlands 12 160 0.4× 253 0.7× 192 0.8× 151 1.3× 51 0.5× 46 641
Henk G. Sol Netherlands 16 103 0.2× 306 0.8× 217 0.9× 166 1.4× 80 0.8× 50 782
Barbara Dinter Germany 12 113 0.3× 285 0.8× 127 0.5× 71 0.6× 52 0.5× 51 500
Mieke Jans Belgium 16 142 0.3× 555 1.5× 322 1.4× 170 1.4× 39 0.4× 46 856

Countries citing papers authored by G. Shankaranarayanan

Since Specialization
Citations

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

Fields of papers citing papers by G. Shankaranarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Shankaranarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of G. Shankaranarayanan. A scholar is included among the top collaborators of G. Shankaranarayanan 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 G. Shankaranarayanan. G. Shankaranarayanan 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.
Mancha, Rubén & G. Shankaranarayanan. (2017). Educating an Innovative Workforce for the Digital Economy. Journal of the Association for Information Systems. 3 indexed citations
2.
Shankaranarayanan, G., Adir Even, & Paul D. Berger. (2015). Optimizing Data Management with Disparities in Data Value. Journal of international technology and information management. 24(3). 1 indexed citations
3.
Shankaranarayanan, G., et al.. (2015). Data and Information Quality: Research Themes and Evolving Patterns. Journal of the Association for Information Systems. 2 indexed citations
4.
Gordon, Steven R., et al.. (2014). An Agenda for Case-Based Research. Journal of Information Technology Case and Application Research. 16(2). 61–69. 2 indexed citations
5.
Gordon, Steven R., et al.. (2013). Case-Based Research in Information Systems: Gaps and Trends. Journal of the Association for Information Systems. 14(2). 3. 5 indexed citations
6.
Shankaranarayanan, G., B. R. Iyer, & Donna B. Stoddard. (2012). Quality of Social Media Data and Implications of Social Media for Data Quality.. ICIQ. 311–325. 9 indexed citations
7.
Shankaranarayanan, G., et al.. (2010). Framing data quality research: A semantic analysis approach.. ICIQ. 2 indexed citations
8.
Even, Adir, G. Shankaranarayanan, & Paul D. Berger. (2010). Inequality in the utility of customer data: Implications for data management and usage. Journal of Database Marketing & Customer Strategy Management. 17(1). 19–35. 5 indexed citations
9.
Shankaranarayanan, G., Bin Zhu, & Yu Cai. (2009). Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation. Journal of the Association for Information Systems. 367. 4 indexed citations
10.
Even, Adir & G. Shankaranarayanan. (2009). Utility Cost Perspectives in Data Quality Management. Journal of Computer Information Systems. 50(2). 127–135. 12 indexed citations
11.
Even, Adir & G. Shankaranarayanan. (2008). Comparative Analysis of Data Quality and Utility Inequality Assessments. Journal of the Association for Information Systems. 1835–1846. 2 indexed citations
12.
Shankaranarayanan, G., et al.. (2008). Decision Support with Data Quality Metadata.. ICIQ. 281–295. 2 indexed citations
13.
Even, Adir & G. Shankaranarayanan. (2007). Understanding Impartial Versus Utility-Driven Quality Assessment In Large Datasets.. ICIQ. 265–279. 7 indexed citations
14.
Even, Adir & G. Shankaranarayanan. (2006). Data-Warehouse as a Dynamic Capability: Utility/Cost Foundations and Implications for Economically-Driven Design. Journal of the Association for Information Systems. 17. 2 indexed citations
15.
Even, Adir & G. Shankaranarayanan. (2006). "Not All Data Are Created Equal": Inequality in Utility and Implications for Data Management.. ICIQ. 384–398.
16.
Even, Adir & G. Shankaranarayanan. (2005). Value-Driven Data Quality Assessment.. ICIQ. 20 indexed citations
17.
Even, Adir, G. Shankaranarayanan, & Paul D. Berger. (2005). Profit Maximization with Data Management Systems. Journal of the Association for Information Systems. 3 indexed citations
18.
Shankaranarayanan, G., et al.. (2005). Supporting data quality management in decision-making. Decision Support Systems. 42(1). 302–317. 78 indexed citations
19.
Shankaranarayanan, G., et al.. (2004). A Data Quality Assurance Model in the B2B Networked Environment. Journal of the Association for Information Systems. 499. 3 indexed citations
20.
Shankaranarayanan, G., et al.. (2000). IP-MAP: Representing the Manufacture of an Information Product.. 1–16. 50 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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