Micah J. Smith

462 total citations
8 papers, 230 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 230 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), Software Engineering Research (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Micah J. Smith is often cited by papers focused on Machine Learning and Data Classification (4 papers), Software Engineering Research (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Micah J. Smith collaborates with scholars based in United States, Austria and Nepal. Micah J. Smith's co-authors include Kalyan Veeramachaneni, Md. Mahadi Hassan, Lei Xu, ChengXiang Zhai, Dongyu Liu, José Cambronero, Samuel Madden, Roy Wedge, Jürgen Cito and Ramón Alain Miranda‐Quintana 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 218 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Micah J. Smith United States 5 109 36 24 24 20 8 230
Azhana Ahmad Malaysia 9 99 0.9× 29 0.8× 24 1.0× 13 0.5× 41 2.0× 43 216
Douglas D. Dankel United States 6 112 1.0× 43 1.2× 18 0.8× 13 0.5× 20 1.0× 14 248
Roy Wedge United States 2 162 1.5× 31 0.9× 25 1.0× 29 1.2× 39 1.9× 2 292
Addi Ait‐Mlouk Morocco 9 142 1.3× 68 1.9× 26 1.1× 14 0.6× 11 0.6× 20 249
Ruhi Sharma Mittal India 6 128 1.2× 33 0.9× 22 0.9× 14 0.6× 30 1.5× 11 266
R. Parvathi India 10 104 1.0× 55 1.5× 38 1.6× 20 0.8× 26 1.3× 48 276
Shanmukha Guttula India 5 110 1.0× 30 0.8× 21 0.9× 14 0.6× 24 1.2× 6 240
Hima Patel India 5 110 1.0× 30 0.8× 21 0.9× 14 0.6× 24 1.2× 9 240
Shaochen Zhong United States 3 140 1.3× 42 1.2× 28 1.2× 12 0.5× 23 1.1× 6 278
Marcel Wever Germany 8 172 1.6× 32 0.9× 15 0.6× 7 0.3× 24 1.2× 25 264

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

8 of 8 papers shown
1.
Smith, Micah J., et al.. (2025). Extended Quality (eQual): Radial Threshold Clustering Based on n -ary Similarity. Journal of Chemical Information and Modeling. 65(10). 5062–5070.
2.
Hassan, Md. Mahadi, et al.. (2021). AutoML to Date and Beyond: Challenges and Opportunities. ACM Computing Surveys. 54(8). 1–36. 162 indexed citations
3.
Smith, Micah J., et al.. (2021). Enabling Collaborative Data Science Development with the Ballet Framework. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW2). 1–39. 4 indexed citations
4.
Liu, Dongyu, Micah J. Smith, & Kalyan Veeramachaneni. (2020). Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. 1–8. 23 indexed citations
5.
Hassan, Md. Mahadi, et al.. (2020). A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities.. 1 indexed citations
6.
Smith, Micah J., Roy Wedge, & Kalyan Veeramachaneni. (2017). FeatureHub: Towards Collaborative Data Science. 590–600. 14 indexed citations
7.
Cambronero, José, et al.. (2017). Query optimization for dynamic imputation. Proceedings of the VLDB Endowment. 10(11). 1310–1321. 26 indexed citations
8.
Smith, Micah J., et al.. (2009). Evaluation of Nitrifying Bacteria Specific Growth Rate Sensitivity to Carbon Dioxide for Full-Scale Activated Sludge and Municipal Wastewater. Proceedings of the Water Environment Federation. 2009(12). 3984–3998.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026