Tim Hill

2.3k total citations
40 papers, 1.6k citations indexed

About

Tim Hill is a scholar working on Artificial Intelligence, Marketing and Sociology and Political Science. According to data from OpenAlex, Tim Hill has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Marketing and 6 papers in Sociology and Political Science. Recurrent topics in Tim Hill's work include Neural Networks and Applications (7 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Stock Market Forecasting Methods (4 papers). Tim Hill is often cited by papers focused on Neural Networks and Applications (7 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Stock Market Forecasting Methods (4 papers). Tim Hill collaborates with scholars based in United Kingdom, United States and Australia. Tim Hill's co-authors include William Remus, Marcus O’Connor, Leorey Marquez, Robin Canniford, Sandra Acker, Giana M. Eckhardt, Michael G. Luchs, Marcus Phipps, Alton L. Boynton and Henrik Kindmark and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Marketing and Management Science.

In The Last Decade

Tim Hill

35 papers receiving 1.5k citations

Peers

Tim Hill
Comparison fields: 5 of 173
  • Management Science and Operations Research 467
  • Artificial Intelligence 345
  • Electrical and Electronic Engineering 253
  • Marketing 210
  • Sociology and Political Science 184
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Citations per field, relative to Tim Hill
Tim Hill · 1×
Citations per year, relative to Tim Hill
Tim Hill · 1×

Countries citing papers authored by Tim Hill

Since Specialization
Citations

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

Fields of papers citing papers by Tim Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Hill. 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 Tim Hill. The network helps show where Tim Hill may publish in the future.

Co-authorship network of co-authors of Tim Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Hill. A scholar is included among the top collaborators of Tim Hill 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 Tim Hill. Tim Hill 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
# Work Indexed citations
1 0
2 0
3 0
4 6
5 8
6 86
7 3
8 77
9
An empirical investigation into the effect of web search characteristics on decisions associated with impression formation
1
10 13
11 8
12 25
13 14
14 42
15 7
16
Implementing a real time reasoning system for robust diagnosis
4
17
Intelligent fault management for the Space Station active thermal control system
0
18 17
19 20
20 30

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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