Sarah Furlan

466 total citations
11 papers, 326 citations indexed

About

Sarah Furlan is a scholar working on General Decision Sciences, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Sarah Furlan has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Decision Sciences, 4 papers in Statistics and Probability and 3 papers in Developmental and Educational Psychology. Recurrent topics in Sarah Furlan's work include Decision-Making and Behavioral Economics (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Child and Animal Learning Development (3 papers). Sarah Furlan is often cited by papers focused on Decision-Making and Behavioral Economics (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Child and Animal Learning Development (3 papers). Sarah Furlan collaborates with scholars based in Italy, United States and Netherlands. Sarah Furlan's co-authors include Valerie F. Reyna, Lílian Milnitsky Stein, Seth T. Pardo, Franca Agnoli, Luciano Gamberini, Anna Spagnolli, Nicolà Corradi, Marco Lauriola, Aristide Saggino and Marco Tommasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Developmental Psychology and Transportation.

In The Last Decade

Sarah Furlan

11 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sarah Furlan Italy	6	109	71	60	53	48	11	326
Dan Schley United States	11	178 1.6×	87 1.2×	70 1.2×	46 0.9×	53 1.1×	19	416
Carl Symborski United States	6	66 0.6×	35 0.5×	58 1.0×	20 0.4×	26 0.5×	10	237
James H. Korris United States	6	65 0.6×	35 0.5×	54 0.9×	20 0.4×	26 0.5×	9	240
Ellen Evers United States	10	59 0.5×	86 1.2×	120 2.0×	71 1.3×	64 1.3×	24	388
Mark J. Chin United States	10	23 0.2×	20 0.3×	54 0.9×	53 1.0×	27 0.6×	21	362
Dan Lehman United States	5	64 0.6×	74 1.0×	69 1.1×	26 0.5×	24 0.5×	5	362
Huijian Fu China	10	11 0.1×	78 1.1×	81 1.4×	49 0.9×	46 1.0×	34	306
Sandra Andraszewicz Switzerland	5	36 0.3×	83 1.2×	24 0.4×	47 0.9×	21 0.4×	11	289
Elanor F. Williams United States	10	53 0.5×	70 1.0×	118 2.0×	36 0.7×	76 1.6×	20	313

Countries citing papers authored by Sarah Furlan

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Furlan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Furlan

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

All Works

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11 of 11 papers shown

Lauriola, Marco, et al.. (2019). Using a supervised machine learning algorithm for detecting faking good in a personality self‐report. International Journal of Selection and Assessment. 28(2). 176–185. 10 indexed citations

Furlan, Sarah, Franca Agnoli, & Valerie F. Reyna. (2015). Intuition and analytic processes in probabilistic reasoning: The role of time pressure. Learning and Individual Differences. 45. 1–10. 17 indexed citations

Haslbeck, Jonas M B, et al.. (2013). (In)accurate Intuition: Fast Reasoning in Decision Making. SHILAP Revista de lepidopterología. 4(2). 9–9. 1 indexed citations

Furlan, Sarah, Franca Agnoli, & Valerie F. Reyna. (2012). Children’s competence or adults’ incompetence: Different developmental trajectories in different tasks.. Developmental Psychology. 49(8). 1466–1480. 7 indexed citations

Gamberini, Luciano, et al.. (2012). Passengers’ activities during short trips on the London Underground. Transportation. 40(2). 251–268. 37 indexed citations

Gamberini, Luciano, Anna Spagnolli, Sarah Furlan, et al.. (2011). How natural is a natural interface? An evaluation procedure based on action breakdowns. Personal and Ubiquitous Computing. 17(1). 69–79. 10 indexed citations

Furlan, Sarah. (2011). Developmental and individual differences in the Ratio-Bias Phenomenon with and without time pressure. Research Padua Archive (University of Padua). 1 indexed citations

Reyna, Valerie F., et al.. (2011). Individual Differences in Numeracy and Cognitive Reflection, with Implications for Biases and Fallacies in Probability Judgment. Journal of Behavioral Decision Making. 25(4). 361–381. 240 indexed citations

Furlan, Sarah & Franca Agnoli. (2010). The dark side of statistics: numeracy and luck in the development of probabilistic reasoning. Research Padua Archive (University of Padua). 1 indexed citations

10.

Spagnolli, Anna, et al.. (2009). ‘Users’ performance with a riding trainer: The role of the social setting. Interaction design & architecture(s). 59–62. 1 indexed citations

11.

Furlan, Sarah. (2001). EXTERNAL COSTS DUE TO ELECTRIC VEHICLES: A COMPARATIVE ANALYSIS BETWEEN NEW AND CONVENTIONAL CARS. WIT transactions on the built environment. 52. 1 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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