Daniel Castillo

477 total citations
10 papers, 349 citations indexed

About

Daniel Castillo is a scholar working on Safety Research, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Daniel Castillo has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Safety Research, 4 papers in Sociology and Political Science and 4 papers in Management Science and Operations Research. Recurrent topics in Daniel Castillo's work include Experimental Behavioral Economics Studies (5 papers), Game Theory and Applications (3 papers) and Complex Systems and Decision Making (2 papers). Daniel Castillo is often cited by papers focused on Experimental Behavioral Economics Studies (5 papers), Game Theory and Applications (3 papers) and Complex Systems and Decision Making (2 papers). Daniel Castillo collaborates with scholars based in Colombia, France and United States. Daniel Castillo's co-authors include Juan-Camilo Cárdenas, Marco A. Janssen, François Bousquet, Ali Kerem Saysel, Amber Wutich, John M. Anderies, Björn Vollan, Robert Tobias, Mark Milke and Luz Ángela Cuéllar Rodríguez and has published in prestigious journals such as Ecological Economics, Environmental Modelling & Software and Agricultural Systems.

In The Last Decade

Daniel Castillo

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Castillo Colombia	6	160	119	116	58	53	10	349
Nathan Rollins United States	7	49 0.3×	144 1.2×	96 0.8×	31 0.5×	8 0.2×	8	334
Hoon C. Shin United States	9	40 0.3×	166 1.4×	111 1.0×	34 0.6×	11 0.2×	15	344
Aaron Hatcher United Kingdom	12	61 0.4×	244 2.1×	88 0.8×	128 2.2×	8 0.2×	23	471
Raphaële Préget France	10	75 0.5×	140 1.2×	34 0.3×	300 5.2×	10 0.2×	31	528
Ute Brady United States	9	17 0.1×	182 1.5×	88 0.8×	28 0.5×	7 0.1×	13	336
Andrew Kitts United States	12	15 0.1×	181 1.5×	50 0.4×	105 1.8×	27 0.5×	24	371
Andrew R. Tilman United States	5	66 0.4×	82 0.7×	206 1.8×	39 0.7×	3 0.1×	11	342
Hugh Sibly Australia	10	39 0.2×	43 0.4×	57 0.5×	118 2.0×	8 0.2×	33	311
Mike McCoy United States	7	17 0.1×	100 0.8×	90 0.8×	22 0.4×	6 0.1×	11	319
Robin Bourgeois France	8	11 0.1×	69 0.6×	66 0.6×	20 0.3×	12 0.2×	43	256

Countries citing papers authored by Daniel Castillo

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Castillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Castillo

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

All Works

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10 of 10 papers shown

1.

Castillo, Daniel, et al.. (2022). Magical Realism for Water Governance Under Power Asymmetries in the Aracataca River Basin, Colombia. International Journal of the Commons. 16(1). 155–155. 2 indexed citations

2.

Milke, Mark, et al.. (2022). Participatory modelling: precedents and prospects for civil engineering. Civil Engineering and Environmental Systems. 39(2). 93–122. 2 indexed citations

3.

Janssen, Marco A., et al.. (2013). Breaking the elected rules in a field experiment on forestry resources. Ecological Economics. 90. 132–139. 29 indexed citations

4.

Castillo, Daniel. (2013). Farliga förbindelser? : statens förändrade gränser och näringslivets nya möjligheter. 1 indexed citations

5.

Janssen, Marco A., et al.. (2012). Field experiments on irrigation dilemmas. Agricultural Systems. 109. 65–75. 52 indexed citations

6.

Anderies, John M., Marco A. Janssen, François Bousquet, et al.. (2011). The challenge of understanding decisions in experimental studies of common pool resource governance. Ecological Economics. 70(9). 1571–1579. 94 indexed citations

7.

Castillo, Daniel, et al.. (2011). Context matters to explain field experiments: Results from Colombian and Thai fishing villages. Ecological Economics. 70(9). 1609–1620. 69 indexed citations

8.

Castillo, Daniel, et al.. (2010). Designing and implementing a Role-Playing Game: A tool to explain factors, decision making and landscape transformation. Environmental Modelling & Software. 25(11). 1322–1333. 42 indexed citations

9.

Castillo, Daniel & Ali Kerem Saysel. (2005). Simulation of common pool resource field experiments: a behavioral model of collective action. Ecological Economics. 55(3). 420–436. 57 indexed citations

10.

Castillo, Daniel & Ali Kerem Saysel. (2003). Dynamic Simulation Model of Common Pool Resource Cooperation Experiments. Bergen Open Research Archive (BORA) (University of Bergen). 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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