W.R. King

446 citations
13 papers · 355 · h-index 9

Impact in

Papers in

    • Information Technology Governance and Strategy 4
    • Big Data and Business Intelligence 2
    • ERP Systems Implementation and Impact 2
    • Innovation and Knowledge Management 3
    • Business Strategy and Innovation 2
    • Competitive and Knowledge Intelligence 1

W.R. King

13 papers receiving 305 citations

Peers

W.R. King
Comparison fields: 5 of 77
  • Management Information Systems 199
  • Information Systems and Management 60
  • Strategy and Management 87
  • Agronomy and Crop Science 47
  • Organizational Behavior and Human Resource Management 29
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Thomas L. Sporleder United States
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Robert G. Cross United States
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Citations per year

Countries citing papers authored by W.R. King

Since Specialization
Citations

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

Fields of papers citing papers by W.R. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.R. King. 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 W.R. King. The network helps show where W.R. King may publish in the future.

Co-authors

The 9 scholars most cited alongside W.R. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W.R. King Line = papers co-authored together W.R. King links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 198863
2 198956
3 200149
4 199147
5 199936
6 199727
7 197126
8 199223
9 199316
10 19936
11 19703
12 19712
13 19751

About W.R. King

W.R. King is a scholar working on Management Information Systems, Strategy and Management, Animal Science and Zoology, General Decision Sciences and Food Science, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (4 papers), Innovation and Knowledge Management (3 papers), Information Systems Theories and Implementation (2 papers), Meat and Animal Product Quality (2 papers), Big Data and Business Intelligence (2 papers), Business Strategy and Innovation (2 papers), ERP Systems Implementation and Impact (2 papers) and Competitive and Knowledge Intelligence (1 paper). The work is most often cited by research in Management Information Systems (199 citations), Information Systems and Management (60 citations), Strategy and Management (87 citations), Agronomy and Crop Science (47 citations) and Organizational Behavior and Human Resource Management (29 citations). W.R. King has collaborated with scholars based in United States, Singapore and Latvia. Frequent co-authors include T. S. Raghunathan, Thompson S.H. Teo, Varun Grover, Keshavamurthy Ramamurthy, James Benedict Rowe, Peter John Murray, Edwin V. Buehler, Vijay Kumar Sethi and Robert H. Coots. Their work appears in journals such as Toxicology and Applied Pharmacology, Omega, IEEE Transactions on Engineering Management, European Journal of Information Systems and Information Systems Journal.

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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