Charles T. Meadow

133 total papers · 1.2k total citations
64 papers, 841 citations indexed

About

Charles T. Meadow is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Charles T. Meadow has authored 64 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 11 papers in Artificial Intelligence and 3 papers in Information Systems and Management. Recurrent topics in Charles T. Meadow's work include Information Retrieval and Search Behavior (13 papers), Semantic Web and Ontologies (5 papers) and Recommender Systems and Techniques (3 papers). Charles T. Meadow is often cited by papers focused on Information Retrieval and Search Behavior (13 papers), Semantic Web and Ontologies (5 papers) and Recommender Systems and Techniques (3 papers). Charles T. Meadow collaborates with scholars based in Canada, United States and United Kingdom. Charles T. Meadow's co-authors include Donald H. Kraft, Bert R. Boyce, Thomas T. Hewett, Pauline A. Cochrane, Donald O. Case, Christine L. Borgman, Jiabin Wang, Barbara A. Cerny, Anne C. Lewis and Debora Shaw and has published in prestigious journals such as Journal of the Franklin Institute, Information Processing & Management and Leonardo.

In The Last Decade

Charles T. Meadow

55 papers receiving 691 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Charles T. Meadow	387	330	107	74	72	64	841
Terrence A. Brooks	310 0.8×	254 0.8×	97 0.9×	40 0.5×	44 0.6×	59	1.0k
Ali Shiri	362 0.9×	256 0.8×	98 0.9×	52 0.7×	36 0.5×	89	797
Helen R. Tibbo	427 1.1×	169 0.5×	104 1.0×	72 1.0×	26 0.4×	59	773
Xi Niu	486 1.3×	202 0.6×	74 0.7×	66 0.9×	109 1.5×	62	877
Anastasios Tombros	490 1.3×	463 1.4×	91 0.9×	55 0.7×	82 1.1×	42	881
Robert M. Losee	436 1.1×	433 1.3×	58 0.5×	109 1.5×	86 1.2×	64	857
Morgan Harvey	397 1.0×	214 0.6×	76 0.7×	35 0.5×	43 0.6×	53	794
Luanne Freund	428 1.1×	188 0.6×	158 1.5×	54 0.7×	18 0.3×	59	724
Stuart Weibel	442 1.1×	351 1.1×	100 0.9×	57 0.8×	172 2.4×	43	887
Jiepu Jiang	409 1.1×	339 1.0×	116 1.1×	28 0.4×	20 0.3×	45	763

Countries citing papers authored by Charles T. Meadow

Since Specialization

Citations

This map shows the geographic impact of Charles T. Meadow'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 Charles T. Meadow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles T. Meadow more than expected).

Fields of papers citing papers by Charles T. Meadow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles T. Meadow. 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 Charles T. Meadow. The network helps show where Charles T. Meadow may publish in the future.

Co-authorship network of co-authors of Charles T. Meadow

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

All Works

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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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