Françoise Decortis

149 total papers · 590 total citations
38 papers, 343 citations indexed

About

Françoise Decortis is a scholar working on Sociology and Political Science, Human-Computer Interaction and Social Psychology. According to data from OpenAlex, Françoise Decortis has authored 38 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 8 papers in Human-Computer Interaction and 5 papers in Social Psychology. Recurrent topics in Françoise Decortis's work include AI-based Problem Solving and Planning (4 papers), Innovative Human-Technology Interaction (4 papers) and Human-Automation Interaction and Safety (4 papers). Françoise Decortis is often cited by papers focused on AI-based Problem Solving and Planning (4 papers), Innovative Human-Technology Interaction (4 papers) and Human-Automation Interaction and Safety (4 papers). Françoise Decortis collaborates with scholars based in Belgium, France and Italy. Françoise Decortis's co-authors include Antonio Rizzo, Laura Lentini, P.C. Cacciabue, Edith Ackermann, Véronique De Keyser, Patrizia Marti, Antonio Rizzo, Juan Pablo Hourcade, Heidi Schelhowe and Giuseppe Mancini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Reliability Engineering & System Safety and Ergonomics.

In The Last Decade

Françoise Decortis

34 papers receiving 292 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Françoise Decortis	101	87	67	55	49	38	343
David K. Farkas	75 0.7×	35 0.4×	57 0.9×	40 0.7×	10 0.2×	37	339
Oronzo Parlangeli	53 0.5×	90 1.0×	45 0.7×	39 0.7×	8 0.2×	48	335
Simon N. Leonard	33 0.3×	13 0.1×	34 0.5×	157 2.9×	30 0.6×	33	348
Chun‐Chia Lee	34 0.3×	58 0.7×	102 1.5×	70 1.3×	19 0.4×	21	332
John Etherton	40 0.4×	46 0.5×	30 0.4×	14 0.3×	49 1.0×	33	323
Jonathan Earthy	132 1.3×	55 0.6×	50 0.7×	8 0.1×	24 0.5×	18	355
M. Asif Khawaja	45 0.4×	80 0.9×	18 0.3×	47 0.9×	7 0.1×	19	336
Jian Zheng	65 0.6×	37 0.4×	10 0.1×	20 0.4×	22 0.4×	29	375
Anja Naumann	92 0.9×	112 1.3×	23 0.3×	19 0.3×	14 0.3×	44	307
Sandra Cano	62 0.6×	33 0.4×	33 0.5×	82 1.5×	3 0.1×	52	374

Countries citing papers authored by Françoise Decortis

Since Specialization

Citations

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

Fields of papers citing papers by Françoise Decortis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Decortis

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

All Works

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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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