Daniel W. Barowy

15 total papers · 431 total citations
10 papers, 261 citations indexed

About

Daniel W. Barowy is a scholar working on Computer Science Applications, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Daniel W. Barowy has authored 10 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Science Applications, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Daniel W. Barowy's work include Mobile Crowdsensing and Crowdsourcing (4 papers), Spreadsheets and End-User Computing (3 papers) and Data Quality and Management (2 papers). Daniel W. Barowy is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (4 papers), Spreadsheets and End-User Computing (3 papers) and Data Quality and Management (2 papers). Daniel W. Barowy collaborates with scholars based in United States. Daniel W. Barowy's co-authors include Emery D. Berger, Benjamin G. Zorn, Charlie Curtsinger, Andrew McGregor, Ted Hart, Sumit Gulwani, Siddharth Suri, Daniel G. Goldstein, Emmie Hine and Alex Taylor and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages.

In The Last Decade

Daniel W. Barowy

10 papers receiving 245 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel W. Barowy 110 84 81 66 65 10 261
Jiahuan He 79 0.7× 80 1.0× 191 2.4× 39 0.6× 57 0.9× 15 291
Harald Psaier 91 0.8× 97 1.2× 99 1.2× 15 0.2× 98 1.5× 12 267
Peter-Michael Osera 109 1.0× 134 1.6× 165 2.0× 125 1.9× 33 0.5× 15 318
Ivanilton Polato 75 0.7× 65 0.8× 181 2.2× 21 0.3× 95 1.5× 14 272
Erika Nina Höhn 42 0.4× 91 1.1× 230 2.8× 73 1.1× 61 0.9× 9 312
Daye Nam 48 0.4× 99 1.2× 84 1.0× 42 0.6× 42 0.6× 14 235
Valerio Cosentino 85 0.8× 60 0.7× 217 2.7× 49 0.7× 78 1.2× 17 288
Sruti Srinivasa Ragavan 65 0.6× 54 0.6× 85 1.0× 37 0.6× 21 0.3× 13 186
Christopher J. Fox 71 0.6× 140 1.7× 210 2.6× 51 0.8× 39 0.6× 11 318
John Buxton 37 0.3× 120 1.4× 121 1.5× 72 1.1× 62 1.0× 12 312

Countries citing papers authored by Daniel W. Barowy

Since Specialization
Citations

This map shows the geographic impact of Daniel W. Barowy'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. Barowy 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. Barowy more than expected).

Fields of papers citing papers by Daniel W. Barowy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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