Gary L. Bradshaw

2.4k total citations · 1 hit paper
43 papers, 1.4k citations indexed

About

Gary L. Bradshaw is a scholar working on Information Systems, Epidemiology and Social Psychology. According to data from OpenAlex, Gary L. Bradshaw has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Epidemiology and 6 papers in Social Psychology. Recurrent topics in Gary L. Bradshaw's work include Influenza Virus Research Studies (6 papers), interferon and immune responses (5 papers) and Human-Automation Interaction and Safety (5 papers). Gary L. Bradshaw is often cited by papers focused on Influenza Virus Research Studies (6 papers), interferon and immune responses (5 papers) and Human-Automation Interaction and Safety (5 papers). Gary L. Bradshaw collaborates with scholars based in United States and Iraq. Gary L. Bradshaw's co-authors include Herbert A. Simon, Pat Langley, Jan M. Żytkow, John R. Anderson, Patrick Langley, Louis M. Herman, John D. Gory, R. Walter Schlesinger, Brian H. Ross and George R. Dubes and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.

In The Last Decade

Gary L. Bradshaw

38 papers receiving 1.1k citations

Hit Papers

Scientific Discovery: Computational Explorations of the C... 1987 2026 2000 2013 1987 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Scientific Discovery: Computational Explorations of the Creative Processes
    1987 481 citations Pat Langley, Herbert A. Simon et al. Medical Entomology and Zoology profile →

Peers

Gary L. Bradshaw
David Danks United States
Eugène United States
Stephen W. Smoliar United States
Ulrike Hahn United Kingdom
Patrick Henry Winston United States
Jon Orwant United States
Jennifer S. Trueblood United States
Roberto Casati France
Nancy J. Nersessian United States
Murray Campbell United States
David Danks United States
Gary L. Bradshaw
Citations per year, relative to Gary L. Bradshaw Gary L. Bradshaw (= 1×) peers David Danks

Countries citing papers authored by Gary L. Bradshaw

Since Specialization
Citations

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

Fields of papers citing papers by Gary L. Bradshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary L. Bradshaw. 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 Gary L. Bradshaw. The network helps show where Gary L. Bradshaw may publish in the future.

Co-authorship network of co-authors of Gary L. Bradshaw

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

All Works

20 of 20 papers shown
1.
2.
Moss, Jarrod, et al.. (2021). Tracking strategy changes using machine learning classifiers. Behavior Research Methods. 54(4). 1818–1840. 3 indexed citations
3.
Bhowmik, Tanmay, et al.. (2020). Capturing creative requirements via requirements reuse: A machine learning-based approach. Journal of Systems and Software. 170. 110730–110730. 11 indexed citations
4.
Langley, Patrick, Jan M. Żytkow, Herbert A. Simon, & Gary L. Bradshaw. (2018). The search for regularity : four aspects of scientific discovery. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
5.
Carver, Jeffrey C., et al.. (2017). Understanding Human Errors in Software Requirements: An Online Survey. 1 indexed citations
6.
Williams, Byron J., et al.. (2017). An empirical assessment of technical debt practices in industry. Journal of Software Evolution and Process. 29(10). 16 indexed citations
7.
Nadeem, Muhammad, Byron J. Williams, Gary L. Bradshaw, & Edward B. Allen. (2016). Human Subject Evaluation of Computer-Security Training Recommender. 251–256. 1 indexed citations
8.
Bradshaw, Gary L., et al.. (2002). ePsych: Interactive demonstrations and experiments in psychology. Behavior Research Methods, Instruments, & Computers. 34(2). 231–233. 2 indexed citations
9.
Schlesinger, R. Walter, et al.. (1998). Mechanisms Involved in Natural and Experimental Neuropathogenicity of Influenza Viruses: Evidence and Speculation. Advances in virus research. 50. 289–379. 23 indexed citations
10.
Ross, Brian H. & Gary L. Bradshaw. (1994). Encoding effects of remindings. Memory & Cognition. 22(5). 591–605. 33 indexed citations
11.
12.
Herman, Louis M., et al.. (1989). Generalization of visual matching by a bottlenosed dolphin (Tursiops truncatus): Evidence for invariance of cognitive performance with visual and auditory materials.. Journal of Experimental Psychology Animal Behavior Processes. 15(2). 124–136. 74 indexed citations
13.
Rzevski, George, Pat Langley, Herbert A. Simon, Gary L. Bradshaw, & Jan M. Żytkow. (1988). Scientific Discovery: Computational Explorations of the Creative Process. Leonardo. 21(2). 212–212. 43 indexed citations
14.
Langley, Pat, Herbert A. Simon, Gary L. Bradshaw, & Jan M. Żytkow. (1987). Scientific Discovery: Computational Explorations of the Creative Processes. Medical Entomology and Zoology. 481 indexed citations breakdown →
15.
Bradshaw, Gary L. & R. Walter Schlesinger. (1985). Quantitation of viral progeny and proteins in mouse brain cells infected with WSN or non-neurovirulent H1N1 influenza strains. Virus Research. 3. 70–70. 1 indexed citations
16.
Langley, Pat, Jan M. Żytkow, Gary L. Bradshaw, & Herbert A. Simon. (1983). Three facets of scientific discovery. International Joint Conference on Artificial Intelligence. 241(2). 465–468. 8 indexed citations
17.
Bradshaw, Gary L., Gordon Sato, Don B. McClure, & George R. Dubes. (1983). The growth requirements of BHK‐21 cells in serum‐free culture. Journal of Cellular Physiology. 114(2). 215–221. 12 indexed citations
18.
Langley, Patrick, Gary L. Bradshaw, & Herbert A. Simon. (1982). Data-Driven and Expectation-Driven Discovery of Empirical Laws.. Defense Technical Information Center (DTIC). 4 indexed citations
19.
Langley, Pat, Gary L. Bradshaw, & Herbert A. Simon. (1981). BAC0N.5: the discovery of conservation laws. International Joint Conference on Artificial Intelligence. 121–126. 23 indexed citations
20.
Bradshaw, Gary L. & Marcus M. Jensen. (1979). The Epidemiology of Yucaipa Virus in Relationship to the Acute Respiratory Disease Syndrome in Turkeys. Avian Diseases. 23(2). 539–539. 21 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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