Steven P. Dow

184 total papers · 5.7k total citations
142 papers, 3.6k citations indexed

About

Steven P. Dow is a scholar working on Computer Science Applications, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steven P. Dow has authored 142 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Science Applications, 40 papers in Human-Computer Interaction and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steven P. Dow's work include Mobile Crowdsensing and Crowdsourcing (44 papers), Open Source Software Innovations (33 papers) and Design Education and Practice (25 papers). Steven P. Dow is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (44 papers), Open Source Software Innovations (33 papers) and Design Education and Practice (25 papers). Steven P. Dow collaborates with scholars based in United States, China and Denmark. Steven P. Dow's co-authors include Scott Klemmer, Blair MacIntyre, Joel Chan, Björn Hartmann, Maribeth Gandy, Jay David Bolter, Anand Kulkarni, Elizabeth M. Gerber, Pao Siangliulue and Krzysztof Z. Gajos and has published in prestigious journals such as ACM Transactions on Graphics, ACM Transactions on Computer-Human Interaction and Design Studies.

In The Last Decade

Steven P. Dow

136 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Steven P. Dow 1.3k 1.1k 785 603 500 142 3.6k
Scott Klemmer 1.6k 1.3× 2.1k 1.9× 1.1k 1.4× 819 1.4× 510 1.0× 134 5.7k
Brian P. Bailey 567 0.5× 1.8k 1.6× 999 1.3× 360 0.6× 326 0.7× 154 5.4k
Krzysztof Z. Gajos 1.1k 0.9× 1.6k 1.4× 1.1k 1.4× 1.1k 1.8× 179 0.4× 134 5.5k
Björn Hartmann 2.3k 1.8× 1.9k 1.7× 1.2k 1.6× 1.1k 1.8× 343 0.7× 103 5.6k
Alan F. Blackwell 778 0.6× 1.2k 1.1× 764 1.0× 474 0.8× 233 0.5× 174 3.7k
Gerhard Fischer 1.2k 1.0× 1.8k 1.6× 699 0.9× 1.6k 2.6× 949 1.9× 199 7.9k
Marian Petre 1.2k 1.0× 561 0.5× 400 0.5× 688 1.1× 269 0.5× 163 4.1k
Ronald M. Baecker 411 0.3× 1.5k 1.4× 688 0.9× 508 0.8× 140 0.3× 95 3.8k
Jennifer Mankoff 545 0.4× 3.8k 3.4× 1.3k 1.7× 493 0.8× 361 0.7× 228 7.5k
James D. Hollan 339 0.3× 1.8k 1.6× 1.3k 1.7× 871 1.4× 214 0.4× 92 5.1k

Countries citing papers authored by Steven P. Dow

Since Specialization
Citations

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

Fields of papers citing papers by Steven P. Dow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven P. Dow. 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 Steven P. Dow. The network helps show where Steven P. Dow may publish in the future.

Co-authorship network of co-authors of Steven P. Dow

This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Dow. A scholar is included among the top collaborators of Steven P. Dow 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 Steven P. Dow. Steven P. Dow 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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