Andrew Byde

34 papers receiving 505 citations

Peers

Andrew Byde
Comparison fields: 5 of 48
  • Management Science and Operations Research 346
  • Marketing 156
  • Management Information Systems 76
  • Computer Networks and Communications 165
  • Artificial Intelligence 189
Replace Gagan Goel with:
Gagan Goel United States
Shaddin Dughmi United States
Paul Dütting Switzerland
Pasha Shabalin Germany
Maria Kyropoulou United Kingdom
Piotr Krysta United Kingdom
Rica Gonen Israel
Victor Naroditskiy United States
Nick Gravin China
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Byde

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Byde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Andrew Byde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Byde Line = papers co-authored together Andrew Byde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200278
2 200156
3
Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics.
200744
4 200337
5 200336
6 200334
7 200330
8 200326
9 200321
10 200120
11 200319
12
Towards Agent-Based Service Composition through Negotiation in Multiple Auctions
200115
13 200814
14 200214
15
Virus Throttling for Instant Messaging
200414
16 200911
17 200310
18 20039
19
Stratified B-trees and versioned dictionaries
20118
20 20037

About Andrew Byde

Andrew Byde is a scholar working on Management Science and Operations Research, Marketing, Computer Networks and Communications, Artificial Intelligence and Economics and Econometrics, having authored 35 papers that have together received 564 indexed citations. Recurring topics across this work include Auction Theory and Applications (21 papers), Consumer Market Behavior and Pricing (13 papers), Game Theory and Applications (4 papers), Supply Chain and Inventory Management (4 papers), Multi-Agent Systems and Negotiation (4 papers), Experimental Behavioral Economics Studies (3 papers), Optimization and Search Problems (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Management Science and Operations Research (346 citations), Marketing (156 citations), Management Information Systems (76 citations), Computer Networks and Communications (165 citations) and Artificial Intelligence (189 citations). Andrew Byde has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Chris Preist, Claudio Bartolini, Nicholas R. Jennings, Steve Cayzer, Mike Yearworth, Kay‐Yut Chen, Dave Cliff, M. Salle, Matthew M. Williamson and Nir Vulkan. Their work appears in journals such as Journal of Cardiac Failure, Journal of Artificial Intelligence Research, Australian Journal of Management, Indiana University Mathematics Journal and Lecture notes in computer science.

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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