Daye Nam

32 total papers · 481 total citations
14 papers, 235 citations indexed

About

Daye Nam is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Daye Nam has authored 14 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in Daye Nam's work include Software Engineering Research (9 papers), Software System Performance and Reliability (3 papers) and Software Engineering Techniques and Practices (3 papers). Daye Nam is often cited by papers focused on Software Engineering Research (9 papers), Software System Performance and Reliability (3 papers) and Software Engineering Techniques and Practices (3 papers). Daye Nam collaborates with scholars based in United States, India and Canada. Daye Nam's co-authors include Brad A. Myers, Bogdan Vasilescu, Andrew Macvean, Vincent J. Hellendoorn, Sruti Srinivasa Ragavan, Michael Hilton, Mohammad Amin Alipour, Nenad Medvidović, Youn Kyu Lee and Arman Shahbazian and has published in prestigious journals such as Computer.

In The Last Decade

Daye Nam

14 papers receiving 228 citations

Hit Papers

Using an LLM to Help With... 2024 2026 2024 2024 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Daye Nam 99 84 48 42 42 14 235
Sruti Srinivasa Ragavan 54 0.5× 85 1.0× 65 1.4× 21 0.5× 37 0.9× 13 186
Ian Drosos 64 0.6× 84 1.0× 40 0.8× 20 0.5× 48 1.1× 10 229
Dominik Sobania 159 1.6× 113 1.3× 31 0.6× 27 0.6× 76 1.8× 20 307
Mohammed Y. Shakor 148 1.5× 57 0.7× 59 1.2× 20 0.5× 16 0.4× 15 305
Tobias Kohn 100 1.0× 72 0.9× 203 4.2× 12 0.3× 38 0.9× 21 303
Chenyang Lyu 168 1.7× 96 1.1× 14 0.3× 43 1.0× 97 2.3× 26 295
April Yi Wang 98 1.0× 106 1.3× 69 1.4× 19 0.5× 20 0.5× 19 275
Nigar M. Shafiq Surameery 149 1.5× 39 0.5× 57 1.2× 12 0.3× 16 0.4× 13 299
Daniel W. Barowy 84 0.8× 81 1.0× 110 2.3× 65 1.5× 66 1.6× 10 261
Gwendal Daniel 119 1.2× 61 0.7× 19 0.4× 29 0.7× 30 0.7× 10 188

Countries citing papers authored by Daye Nam

Since Specialization
Citations

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

Fields of papers citing papers by Daye Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daye Nam

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