Stephen C. Gates

869 total citations
23 papers, 618 citations indexed

About

Stephen C. Gates is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Stephen C. Gates has authored 23 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Artificial Intelligence. Recurrent topics in Stephen C. Gates's work include Analytical Chemistry and Chromatography (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Stephen C. Gates is often cited by papers focused on Analytical Chemistry and Chromatography (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Stephen C. Gates collaborates with scholars based in United States and India. Stephen C. Gates's co-authors include Charles C. Sweeley, Philip S. Yu, Charų C. Aggarwal, Youngja Park, J. F. Holland, B. Edwin Blaisdell, William Krivit, Karthik Visweswariah, Dorothy DeWitt and Siddharth Patwardhan and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Clinical Chemistry.

In The Last Decade

Stephen C. Gates

23 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen C. Gates United States	12	231	203	162	132	100	23	618
Florian Rasche Germany	9	627 2.7×	243 1.2×	73 0.5×	80 0.6×	27 0.3×	11	892
Bowei Xi United States	8	395 1.7×	157 0.8×	37 0.2×	68 0.5×	12 0.1×	10	580
Rafael Alcántara United Kingdom	7	1.1k 4.6×	103 0.5×	286 1.8×	74 0.6×	39 0.4×	10	1.3k
Daniel Schober Germany	15	579 2.5×	57 0.3×	360 2.2×	35 0.3×	139 1.4×	33	772
Halil Bişğin United States	13	239 1.0×	11 0.1×	110 0.7×	36 0.3×	54 0.5×	40	717
Clemens Gröpl Germany	10	1.0k 4.4×	880 4.3×	22 0.1×	130 1.0×	7 0.1×	21	1.2k
Jingpei Wang China	15	142 0.6×	503 2.5×	57 0.4×	97 0.7×	104 1.0×	42	861
Hui Du China	12	494 2.1×	105 0.5×	71 0.4×	222 1.7×	13 0.1×	63	867
Karpjoo Jeong South Korea	9	75 0.3×	23 0.1×	81 0.5×	13 0.1×	57 0.6×	47	386

Countries citing papers authored by Stephen C. Gates

Since Specialization

Citations

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

Fields of papers citing papers by Stephen C. Gates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Gates. 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 Stephen C. Gates. The network helps show where Stephen C. Gates may publish in the future.

Co-authorship network of co-authors of Stephen C. Gates

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

All Works

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20 of 20 papers shown

Park, Youngja, et al.. (2011). An experimental study on the measurement of data sensitivity. 70–77. 8 indexed citations

Gates, Stephen C., et al.. (2011). System for automatic estimation of data sensitivity with applications to access control and other applications. 145–146. 3 indexed citations

Park, Youngja, et al.. (2009). Low-cost call type classification for contact center calls using partial transcripts. 2739–2742. 1 indexed citations

Park, Youngja & Stephen C. Gates. (2009). Towards real-time measurement of customer satisfaction using automatically generated call transcripts. 1387–1396. 24 indexed citations

Park, Youngja, Siddharth Patwardhan, Karthik Visweswariah, & Stephen C. Gates. (2008). An empirical analysis of word error rate and keyword error rate. 2070–2073. 45 indexed citations

Byrd, Roy J., et al.. (2008). Semi-automated logging of contact center telephone calls. 133–142. 11 indexed citations

Gates, Stephen C., et al.. (2005). Taxonomies by the numbers. 568–577. 20 indexed citations

Aggarwal, Charų C., Stephen C. Gates, & Philip S. Yu. (1999). On the merits of building categorization systems by supervised clustering. 352–356. 80 indexed citations

Gates, Stephen C. & Jordan T. Becker. (1988). Laboratory Automation Using the IBM-PC. Medical Entomology and Zoology. 11 indexed citations

10.

Rehman, Aziz ur, Stephen C. Gates, & James W. Webb. (1982). Comparison of isolation methods of urinary organic acids by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 228. 103–112. 11 indexed citations

11.

Mattiuz, Edward L., James W. Webb, & Stephen C. Gates. (1982). High Resolution Separation of Urinary Organic Acids by High Performance Liquid Chromatography. Journal of Liquid Chromatography. 5(12). 2343–2357. 7 indexed citations

12.

Blaisdell, B. Edwin, Stephen C. Gates, Frédéric Martin, & Charles C. Sweeley. (1980). Comparison of two methods of detection, determination, and library search of the substances present in gas chromatography—mass spectrometry data. Analytica Chimica Acta. 117. 35–43. 10 indexed citations

13.

Gates, Stephen C., et al.. (1978). Automated metabolic profiling of organic acids in human urine. I. Description of methods.. Clinical Chemistry. 24(10). 1674–1679. 63 indexed citations

14.

Wilson, Ronald W., Stephen C. Gates, & Arthur F. Kohrman. (1978). A cyclic derivative of l-citrulline. Biochemical Medicine. 19(1). 90–94. 1 indexed citations

15.

Sweeley, Charles C., Stephen C. Gates, & John F. Holland. (1978). Analysis of complex volatile mixtures by a combined gas chromatography-mass spectrometry-computer system. Reply to comments. Analytical Chemistry. 50(11). 1585–1586. 1 indexed citations

16.

Gates, Stephen C., Charles C. Sweeley, William Krivit, Dorothy DeWitt, & B. Edwin Blaisdell. (1978). Automated metabolic profiling of organic acids in human urine. II. Analysis of urine samples from "healthy" adults, sick children, and children with neuroblastoma.. Clinical Chemistry. 24(10). 1680–1689. 65 indexed citations

17.

Gates, Stephen C. & Charles C. Sweeley. (1978). Quantitative metabolic profiling based on gas chromatography.. Clinical Chemistry. 24(10). 1663–1673. 82 indexed citations

18.

Gates, Stephen C., et al.. (1977). Identification of a new metabolite of l-homocitrulline. Biochemical Medicine. 18(1). 87–95. 4 indexed citations

19.

Wilson, Ronald W., et al.. (1975). α-Ketoadipic Aciduria: A Description of a New Metabolic Error in Lysine-Tryptophan Degradation. Pediatric Research. 9(6). 522–526. 36 indexed citations

20.

Sweeley, Charles C., et al.. (1974). Rapid computerized identification of compounds in complex biological mixtures by gas chromatography—mass spectrometry. Journal of Chromatography A. 99. 507–517. 49 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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