Daniel Schneider

127 total papers · 905 total citations
68 papers, 566 citations indexed

About

Daniel Schneider is a scholar working on Computer Science Applications, Sociology and Political Science and Human-Computer Interaction. According to data from OpenAlex, Daniel Schneider has authored 68 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Science Applications, 18 papers in Sociology and Political Science and 10 papers in Human-Computer Interaction. Recurrent topics in Daniel Schneider's work include Mobile Crowdsensing and Crowdsourcing (28 papers), Open Source Software Innovations (11 papers) and Innovative Human-Technology Interaction (9 papers). Daniel Schneider is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (28 papers), Open Source Software Innovations (11 papers) and Innovative Human-Technology Interaction (9 papers). Daniel Schneider collaborates with scholars based in Brazil, Portugal and United States. Daniel Schneider's co-authors include António Correia, Jano Moreira de Souza, Charlene Jennett, Laure Kloetzer‬, Margaret M. Gold, Brian Fuchs, Alexandra Eveleigh, Anna L. Cox, Ioanna Iacovides and Benjamim Fonseca and has published in prestigious journals such as IEEE Access, Sensors and Public Opinion Quarterly.

In The Last Decade

Daniel Schneider

59 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Daniel Schneider	155	119	79	73	59	68	566
Leilah Lyons	94 0.6×	76 0.6×	15 0.2×	108 1.5×	45 0.8×	58	685
Nazareno Andrade	66 0.4×	94 0.8×	16 0.2×	219 3.0×	21 0.4×	47	688
Daisy Yoo	83 0.5×	186 1.6×	6 0.1×	105 1.4×	32 0.5×	34	669
Jim Laredo	222 1.4×	120 1.0×	9 0.1×	270 3.7×	11 0.2×	39	686
Jerry Kang	69 0.4×	279 2.3×	7 0.1×	24 0.3×	49 0.8×	36	640
Alex C. Williams	101 0.7×	104 0.9×	138 1.7×	26 0.4×	84 1.4×	41	625
Kirsten Cater	46 0.3×	65 0.5×	8 0.1×	28 0.4×	54 0.9×	49	600
Vitaveska Lanfranchi	21 0.1×	116 1.0×	24 0.3×	58 0.8×	13 0.2×	43	530
Mohammad Allahbakhsh	399 2.6×	71 0.6×	7 0.1×	182 2.5×	11 0.2×	24	653
Stéphane Roche	36 0.2×	137 1.2×	11 0.1×	48 0.7×	5 0.1×	48	680

Countries citing papers authored by Daniel Schneider

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Schneider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schneider

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