Daniel W. Tigard

30 total papers · 760 total citations
20 papers, 400 citations indexed

About

Daniel W. Tigard is a scholar working on Safety Research, Cognitive Neuroscience and General Health Professions. According to data from OpenAlex, Daniel W. Tigard has authored 20 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Safety Research, 7 papers in Cognitive Neuroscience and 6 papers in General Health Professions. Recurrent topics in Daniel W. Tigard's work include Ethics and Social Impacts of AI (13 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers) and Ethics in medical practice (5 papers). Daniel W. Tigard is often cited by papers focused on Ethics and Social Impacts of AI (13 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers) and Ethics in medical practice (5 papers). Daniel W. Tigard collaborates with scholars based in Germany, United States and Switzerland. Daniel W. Tigard's co-authors include Alena Buyx, Ruth Müller, Stuart McLennan, Amelia Fiske, Sami Haddadin, Saskia K. Nagel, Marieke Bak, Abdeldjallil Naceri, Marie-Christine Fritzsche and Bettina Zimmermann and has published in prestigious journals such as Robotics and Autonomous Systems, ACM Transactions on Computer-Human Interaction and Journal of Medical Ethics.

In The Last Decade

Daniel W. Tigard

19 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Daniel W. Tigard	191	126	92	90	82	20	400
Colin Gavaghan	164 0.9×	56 0.4×	66 0.7×	43 0.5×	43 0.5×	26	377
John‐Stewart Gordon	151 0.8×	132 1.0×	11 0.1×	67 0.7×	84 1.0×	33	362
Philip J. Nickel	99 0.5×	155 1.2×	44 0.5×	53 0.6×	79 1.0×	26	431
Giovanni Rubeis	39 0.2×	27 0.2×	62 0.7×	92 1.0×	68 0.8×	41	353
Carissa Véliz	136 0.7×	79 0.6×	53 0.6×	48 0.5×	23 0.3×	26	359
Sylvie Delacroix	59 0.3×	29 0.2×	20 0.2×	41 0.5×	19 0.2×	42	357
Karina Vold	143 0.7×	119 0.9×	99 1.1×	17 0.2×	15 0.2×	15	422
C. K. Gunsalus	123 0.6×	17 0.1×	41 0.4×	176 2.0×	102 1.2×	26	436
Tijs Vandemeulebroucke	110 0.6×	54 0.4×	42 0.5×	69 0.8×	52 0.6×	16	445
Jens Christian Bjerring	55 0.3×	43 0.3×	117 1.3×	54 0.6×	27 0.3×	25	350

Countries citing papers authored by Daniel W. Tigard

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. Tigard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Tigard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Tigard. A scholar is included among the top collaborators of Daniel W. Tigard 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 W. Tigard. Daniel W. Tigard 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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