Lones Smith

3.7k citations
65 papers · 2.1k indexed · h-index 20

Impact in

Papers in

Lones Smith

63 papers receiving 1.9k citations

Peers

Lones Smith
Comparison fields: 5 of 93
  • Management Science and Operations Research 1.0k
  • Safety Research 390
  • Economics and Econometrics 1.1k
  • General Decision Sciences 65
  • Marketing 224
Replace Antoni Calvó‐Armengol with:
Antoni Calvó‐Armengol Spain
Ted Bergstrom United States
In‐Koo Cho United States
Claudio Mezzetti United States
Roger Guesnerie France
Alvaro Sandroni United States
Yann Bramoullé Canada
Navin Kartik United States
Marco Ottaviani Italy
Steven A. Matthews United States
Lones Smith relative to Antoni Calvó‐Armengol Spain Antoni Calvó‐Armengol's profile →
Citations per field
00.5×3.7×
Antoni Calvó‐Armengol · 1×
Citations per year

Countries citing papers authored by Lones Smith

Since Specialization
Citations

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

Fields of papers citing papers by Lones Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202116
3 20200
4 201788
5 20174
6 20173
7 20131
8 201135
9 20103
10
Caller Number Five and Related Timing Games
200825
11
Optimal Dynamic Contests
20079
12
Assortative Matching and Reputation
20064
13
Caller Number Five: Timing Games that Morph From One Form to Another
20044
14 200158
15 2000429
16
Informational Herding and Optimal Experimentation
199716
17
Pathological Outcomes of Observational Learning
199621
18 199514
19 19871
20 19872

About Lones Smith

Lones Smith is a scholar working on Management Science and Operations Research, General Decision Sciences, Economics and Econometrics, Safety Research and Marketing, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Economic theories and models (27 papers), Game Theory and Applications (21 papers), Auction Theory and Applications (21 papers), Game Theory and Voting Systems (14 papers), Experimental Behavioral Economics Studies (10 papers), Consumer Market Behavior and Pricing (9 papers), Complex Systems and Time Series Analysis (7 papers) and Monetary Policy and Economic Impact (5 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Safety Research (390 citations), Economics and Econometrics (1.1k citations), General Decision Sciences (65 citations) and Marketing (224 citations). Lones Smith has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Robert Shimer, Giuseppe Moscarini, Héctor Chade, Peter Norman Sørensen, Axel Anderson, Jan Eeckhout, Gordon Κ. Lewis, Dilip Abreu, Prajit K. Dutta and Andreas Park. Their work appears in journals such as Econometrica, The Review of Economic Studies, American Economic Review, Journal of Economic Theory and Mathematics of Computation.

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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