Jonathan J. King

774 total citations
13 papers, 220 citations indexed

About

Jonathan J. King is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jonathan J. King has authored 13 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Jonathan J. King's work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (5 papers) and Data Management and Algorithms (4 papers). Jonathan J. King is often cited by papers focused on Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (5 papers) and Data Management and Algorithms (4 papers). Jonathan J. King collaborates with scholars based in United States, United Kingdom and France. Jonathan J. King's co-authors include Toby O. Smith, Caroline Hing, Randall Davis, Mark Stefik, Nancy Martin, Peter Friedland, John Mylopoulos, Raymond Reiter, Bonnie Webber and Hervé Gallaire and has published in prestigious journals such as ACM SIGPLAN Notices, The Knee and Rheumatology International.

In The Last Decade

Jonathan J. King

12 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan J. King United States	6	104	102	71	62	31	13	220
Scott Rose United States	9	205 2.0×	110 1.1×	11 0.2×	31 0.5×	9 0.3×	24	281
Adam Dziedzic United States	10	61 0.6×	115 1.1×	21 0.3×	25 0.4×		17	210
Marc Waldman United States	5	213 2.0×	178 1.7×	20 0.3×	6 0.1×	2 0.1×	12	344
Marc Stevens Netherlands	7	36 0.3×	87 0.9×	43 0.6×	51 0.8×		20	217
Francesco Spadini United States	6	210 2.0×	45 0.4×	8 0.1×	29 0.5×	2 0.1×	9	313
Colin J. Burgess United Kingdom	6	35 0.3×	74 0.7×	16 0.2×	14 0.2×	2 0.1×	20	302
Sameh Abd El-Ghany Saudi Arabia	10	14 0.1×	83 0.8×	9 0.1×	7 0.1×	17 0.5×	29	236
Abdullah M. Albarrak Saudi Arabia	7	30 0.3×	71 0.7×	26 0.4×	3 0.0×	3 0.1×	22	194
Jianmin Zhao China	7	35 0.3×	22 0.2×	17 0.2×	25 0.4×		34	133

Countries citing papers authored by Jonathan J. King

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan J. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J. King

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

All Works

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13 of 13 papers shown

Smith, Toby O., Jonathan J. King, & Caroline Hing. (2012). The effectiveness of proprioceptive-based exercise for osteoarthritis of the knee: a systematic review and meta-analysis. Rheumatology International. 32(11). 3339–3351. 48 indexed citations

Smith, Toby O., Jonathan J. King, & Caroline Hing. (2011). A meta-analysis of randomised controlled trials comparing the clinical and radiological outcomes following minimally invasive to conventional exposure for total knee arthroplasty. The Knee. 19(1). 1–7. 37 indexed citations

Davis, Randall & Jonathan J. King. (2005). The Origin of Rule-Based Systems in AI. 7 indexed citations

Reiter, Raymond, Hervé Gallaire, Jonathan J. King, John Mylopoulos, & Bonnie Webber. (1983). A Panel on AI and Databases.. International Joint Conference on Artificial Intelligence. 1199. 3 indexed citations

King, Jonathan J.. (1983). Special issue on AI and Database research. ACM SIGART Bulletin. 32–72. 2 indexed citations

King, Jonathan J.. (1981). QUIST: a system for semantic query optimization in relational databases. Very Large Data Bases. 287–294. 23 indexed citations

King, Jonathan J.. (1981). Query optimization by semantic reasoning. Defense Technical Information Center (DTIC). 73 indexed citations

King, Jonathan J.. (1980). Intelligent retrieval planning. National Conference on Artificial Intelligence. 243–245. 4 indexed citations

King, Jonathan J.. (1980). Modelling concepts for reasoning about access to knowledge. ACM SIGPLAN Notices. 16(1). 138–140.

10.

King, Jonathan J.. (1980). Modelling concepts for reasoning about access to knowledge. 138–140. 4 indexed citations

11.

King, Jonathan J.. (1980). Modelling concepts for reasoning about access to knowledge. ACM SIGART Bulletin. 138–140. 1 indexed citations

12.

King, Jonathan J.. (1979). Exploring the use of domain knowledge for query processing efficiency. Defense Technical Information Center (DTIC). 5 indexed citations

13.

Martin, Nancy, Peter Friedland, Jonathan J. King, & Mark Stefik. (1977). Knowledge base management for experiment planning in molecular genetics. International Joint Conference on Artificial Intelligence. 882–887. 13 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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