Scott Cost

1.2k total citations
6 papers, 790 citations indexed

About

Scott Cost is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Scott Cost has authored 6 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Scott Cost's work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (2 papers) and Text and Document Classification Technologies (2 papers). Scott Cost is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (2 papers) and Text and Document Classification Technologies (2 papers). Scott Cost collaborates with scholars based in United States. Scott Cost's co-authors include Steven L. Salzberg, Eileen P.G. Vining, Pratibha Singhi, John M. Freeman, Yannis Labrou, Ye Chen, Yun Peng and Tim Finin and has published in prestigious journals such as Journal of Molecular Biology, PEDIATRICS and Machine Learning.

In The Last Decade

Scott Cost

6 papers receiving 707 citations

Peers

Scott Cost
T. Raita Finland
Brijnesh J. Jain Germany
Michelangelo Diligenti Italy
Kim Shearer Australia
Eddy Mayoraz Switzerland
Chris Ding United States
Yasuhiro Fujiwara Japan
Zengfeng Huang China
Qipeng Guo China
Olcay Taner Yıldız Türkiye
T. Raita Finland
Scott Cost
Citations per year, relative to Scott Cost Scott Cost (= 1×) peers T. Raita

Countries citing papers authored by Scott Cost

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Cost

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Cost. A scholar is included among the top collaborators of Scott Cost 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 Scott Cost. Scott Cost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Chen, Ye, Yun Peng, Tim Finin, Yannis Labrou, & Scott Cost. (1999). Negotiating agents for supply chain management. Maryland Shared Open Access Repository (USMAI Consortium). 10 indexed citations
2.
Freeman, John M., Eileen P.G. Vining, Scott Cost, & Pratibha Singhi. (1994). Does Carnitine Administration Improve the Symptoms Attributed to Anticonvulsant Medications?: A Double-Blinded, Crossover Study. PEDIATRICS. 93(6). 893–895. 20 indexed citations
3.
Cost, Scott & Steven L. Salzberg. (1993). A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning. 10(1). 57–78. 435 indexed citations
4.
Cost, Scott & Steven L. Salzberg. (1993). A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning. 10(1). 57–78. 263 indexed citations
5.
Salzberg, Steven L. & Scott Cost. (1992). Predicting protein secondary structure with a nearest-neighbor algorithm. Journal of Molecular Biology. 227(2). 371–374. 61 indexed citations
6.
Cost, Scott & Steven L. Salzberg. (1990). Exemplar-Based Learning to Predict Protein Folding. PubMed Central. 114–118. 1 indexed citations

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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