Robert Day

34 papers receiving 1.2k citations

Robert Day's Hit Papers

Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer 2013 · 575 citations
5750+4+8Years since publication100200300400500

Peers

Robert Day
Comparison fields: 5 of 100
  • Management Science and Operations Research 427
  • Marketing 281
  • Cancer Research 283
  • Oncology 477
  • Pathology and Forensic Medicine 313
Replace Mark Jeffery with:
Mark Jeffery New Zealand
Rahul Deb United Kingdom
Chi‐Cheng Huang Taiwan
Michael J. Meurer Germany
Daniel G. Weber Germany
Rajiv Vohra United Kingdom
Christoph Brunner Germany
Richard G. Cooper United States
Benjamin Edelman United States
Robert Day relative to Mark Jeffery New Zealand Mark Jeffery's profile →
Citations per field
00.5×9.7×
Mark Jeffery · 1×
Citations per year

Countries citing papers authored by Robert Day

Since Specialization
Citations

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

Fields of papers citing papers by Robert Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Day, 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 Robert Day Line = papers co-authored together Robert Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer
Hit paper breakdown →
2013575
2 2007188
3 2013117
4 201278
5 200558
6 201234
7 201228
8 201525
9 201024
10
The Quadratic Core-Selecting Payment Rule for Combinatorial Auctions
200824
11 200717
12 200917
13 201613
14 201011
15 20209
16 20079
17 20118
18 20067
19 20206
20 20174

About Robert Day

Robert Day is a scholar working on Management Science and Operations Research, Marketing, Economics and Econometrics, Management Information Systems and Surgery, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Auction Theory and Applications (19 papers), Consumer Market Behavior and Pricing (14 papers), Game Theory and Voting Systems (9 papers), Supply Chain and Inventory Management (4 papers), Optimization and Search Problems (3 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Vehicle Routing Optimization Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (427 citations), Marketing (281 citations), Cancer Research (283 citations), Oncology (477 citations) and Pathology and Forensic Medicine (313 citations). Robert Day has collaborated with scholars based in United States, Germany and Latvia. Frequent co-authors include Paul Milgrom, Timothy R. Church, Michael Wandell, David F. Ransohoff, Dale C. Snover, Thomas Rösch, Shannon R. Payne, Neal Osborn, Peter Cramton and Catherine Lofton–Day. Their work appears in journals such as Decision Support Systems, Management Science, INFORMS journal on computing, Production and Operations Management and Operations Research.

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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