Micah J. Smith

22 total papers · 453 total citations
8 papers, 224 citations indexed

About

Micah J. Smith is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Micah J. Smith has authored 8 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Micah J. Smith's work include Machine Learning and Data Classification (4 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Software Engineering Research (2 papers). Micah J. Smith is often cited by papers focused on Machine Learning and Data Classification (4 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Software Engineering Research (2 papers). Micah J. Smith collaborates with scholars based in United States, Nepal and Austria. Micah J. Smith's co-authors include Kalyan Veeramachaneni, Md. Mahadi Hassan, ChengXiang Zhai, Lei Xu, Dongyu Liu, Samuel Madden, José Cambronero, Roy Wedge, Jürgen Cito and Peter G. Stroot and has published in prestigious journals such as ACM Computing Surveys, Journal of Chemical Information and Modeling and Proceedings of the VLDB Endowment.

In The Last Decade

Micah J. Smith

6 papers receiving 211 citations

Author Peers

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

Author Last Decade Papers Cites
Micah J. Smith 107 36 24 24 20 8 224
Vitobha Munigala 108 1.0× 30 0.8× 27 1.1× 13 0.5× 29 1.4× 11 254
Douglas D. Dankel 112 1.0× 43 1.2× 18 0.8× 13 0.5× 20 1.0× 14 249
Ruhi Sharma Mittal 127 1.2× 32 0.9× 22 0.9× 14 0.6× 27 1.4× 11 259
Ronny Kohavi 91 0.9× 73 2.0× 22 0.9× 17 0.7× 15 0.8× 8 200
Hima Patel 110 1.0× 29 0.8× 21 0.9× 14 0.6× 21 1.1× 8 234
Shanmukha Guttula 110 1.0× 29 0.8× 21 0.9× 14 0.6× 21 1.1× 6 234
Raoul-Gabriel Urma 138 1.3× 97 2.7× 61 2.5× 32 1.3× 22 1.1× 7 309
Shaochen Zhong 132 1.2× 40 1.1× 27 1.1× 12 0.5× 22 1.1× 5 261
Shashank Mujumdar 108 1.0× 32 0.9× 21 0.9× 12 0.5× 33 1.6× 11 239
Lluís-Miquel Munguía 83 0.8× 32 0.9× 55 2.3× 13 0.5× 66 3.3× 9 264

Countries citing papers authored by Micah J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Micah J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micah J. Smith. 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 Micah J. Smith. The network helps show where Micah J. Smith may publish in the future.

Co-authorship network of co-authors of Micah J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Micah J. Smith. A scholar is included among the top collaborators of Micah J. Smith 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 Micah J. Smith. Micah J. Smith 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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