Joseph G. Davis

143 total papers · 1.7k total citations
76 papers, 958 citations indexed

About

Joseph G. Davis is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Joseph G. Davis has authored 76 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 21 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Joseph G. Davis's work include Semantic Web and Ontologies (11 papers), Open Source Software Innovations (8 papers) and Service-Oriented Architecture and Web Services (8 papers). Joseph G. Davis is often cited by papers focused on Semantic Web and Ontologies (11 papers), Open Source Software Innovations (8 papers) and Service-Oriented Architecture and Web Services (8 papers). Joseph G. Davis collaborates with scholars based in Australia, United States and Pakistan. Joseph G. Davis's co-authors include Dinesh Batra, Ying Zhou, Liaquat Hossain, Eswaran Subrahmanian, Arthur W. Westerberg, Frank Siqueira, Ananth Srinivasan, Sanjay Chawla, Ying Zhou and Simon Poon and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Joseph G. Davis

69 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph G. Davis 398 229 183 125 116 76 958
Vitaliy Mezhuyev 295 0.7× 305 1.3× 69 0.4× 98 0.8× 222 1.9× 83 1.2k
Eben M. Haber 424 1.1× 222 1.0× 287 1.6× 206 1.6× 109 0.9× 33 992
Basit Shahzad 525 1.3× 372 1.6× 186 1.0× 65 0.5× 305 2.6× 74 1.2k
Jouni Markkula 492 1.2× 162 0.7× 126 0.7× 103 0.8× 202 1.7× 47 1.0k
Franz Lehner 462 1.2× 226 1.0× 77 0.4× 80 0.6× 159 1.4× 88 960
Franklyn Turbak 365 0.9× 368 1.6× 159 0.9× 418 3.3× 81 0.7× 45 1.1k
Klaus Hansen 400 1.0× 216 0.9× 208 1.1× 204 1.6× 64 0.6× 71 1.1k
Muneera Bano 706 1.8× 238 1.0× 85 0.5× 181 1.4× 130 1.1× 63 1.2k
Irit Hadar 539 1.4× 271 1.2× 82 0.4× 109 0.9× 239 2.1× 92 1.0k
Vincent Wade 415 1.0× 530 2.3× 225 1.2× 94 0.8× 93 0.8× 69 1.1k

Countries citing papers authored by Joseph G. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Joseph G. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph G. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph G. Davis. A scholar is included among the top collaborators of Joseph G. Davis 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 Joseph G. Davis. Joseph G. Davis 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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