William W. Hood

1.2k total citations · 1 hit paper
12 papers, 865 citations indexed

About

William W. Hood is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, William W. Hood has authored 12 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in William W. Hood's work include Advanced Text Analysis Techniques (5 papers), Data Management and Algorithms (4 papers) and Information Retrieval and Search Behavior (3 papers). William W. Hood is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Data Management and Algorithms (4 papers) and Information Retrieval and Search Behavior (3 papers). William W. Hood collaborates with scholars based in Australia and United States. William W. Hood's co-authors include Concepción S. Wilson, Michael Davis, Jacqueline M. Cardwell and David J. Smith and has published in prestigious journals such as Journal of Dairy Science, Scientometrics and Information Processing & Management.

In The Last Decade

William W. Hood

11 papers receiving 801 citations

Hit Papers

The Literature of Bibliometrics, Scientometrics, and Info... 2001 2026 2009 2017 2001 200 400 600

Peers

William W. Hood
Judy F. Burnham United States
Neal S. Coulter United States
David Pendlebury United States
Michiel Schotten United States
Jasleen Kaur United States
Judy F. Burnham United States
William W. Hood
Citations per year, relative to William W. Hood William W. Hood (= 1×) peers Judy F. Burnham

Countries citing papers authored by William W. Hood

Since Specialization
Citations

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

Fields of papers citing papers by William W. Hood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William W. Hood

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

All Works

12 of 12 papers shown
1.
Hood, William W. & Concepción S. Wilson. (2005). The relationship of records in multiple databases to their usage or citedness. Journal of the American Society for Information Science and Technology. 56(9). 1004–1007. 2 indexed citations
2.
Hood, William W. & Concepción S. Wilson. (2003). Overlap in bibliographic databases. Journal of the American Society for Information Science and Technology. 54(12). 1091–1103. 34 indexed citations
3.
Hood, William W. & Concepción S. Wilson. (2003). Informetric studies using databases: Opportunities and challenges. Scientometrics. 58(3). 587–608. 64 indexed citations
4.
Hood, William W. & Concepción S. Wilson. (2002). Solving problems in Library and Information Science using Fuzzy Set Theory. Library trends. 50(3). 393–405. 3 indexed citations
5.
Hood, William W. & Concepción S. Wilson. (2002). Analysis of the fuzzy set literature using phrases. Scientometrics. 54(1). 103–118. 5 indexed citations
6.
Hood, William W. & Concepción S. Wilson. (2001). The scatter of documents over databases in different subject domains: How many databases are needed?. Journal of the American Society for Information Science and Technology. 52(14). 1242–1254. 44 indexed citations
7.
Hood, William W. & Concepción S. Wilson. (2001). The Literature of Bibliometrics, Scientometrics, and Informetrics. Scientometrics. 52(2). 291–314. 680 indexed citations breakdown →
8.
Hood, William W. & Concepción S. Wilson. (1999). The distribution of bibliographic records in databases using different counting methods for duplicate records. Scientometrics. 46(3). 473–486. 7 indexed citations
9.
Hood, William W.. (1999). An informetric study of the distribution of bibliographic records in online databases: a case study using the literature of Fuzzy Set Theory (1965-1993). UNSWorks (University of New South Wales, Sydney, Australia). 9 indexed citations
10.
Davis, Michael, Concepción S. Wilson, & William W. Hood. (1999). Ophthalmology and optics: An informetric study of Australia's contribution to fields in the Vision Science domain, 1991–95. Scientometrics. 46(3). 399–416. 11 indexed citations
11.
Hood, William W. & Concepción S. Wilson. (1994). Indexing terms in the LISA database on CD-ROM. Information Processing & Management. 30(3). 327–342. 5 indexed citations
12.
Hood, William W., et al.. (1970). Abstracts of Papers Presented at the Southern Divisional Meeting of the American Dairy Science Association Memphis, Tennessee February 2–4, 1970. Journal of Dairy Science. 53(3). 372–385. 1 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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