D. Stott Parker

796 total citations
34 papers, 432 citations indexed

About

D. Stott Parker is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, D. Stott Parker has authored 34 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in D. Stott Parker's work include Advanced Database Systems and Queries (5 papers), Classical Antiquity Studies (4 papers) and Data Management and Algorithms (4 papers). D. Stott Parker is often cited by papers focused on Advanced Database Systems and Queries (5 papers), Classical Antiquity Studies (4 papers) and Data Management and Algorithms (4 papers). D. Stott Parker collaborates with scholars based in United States. D. Stott Parker's co-authors include Michael K. Coleman, Paul Eggert, Michael M. Gorlick, Boris A. Gutman, Arthur W. Toga, Roger P. Woods, John Van Horn, Ivo D. Dinov, Zhizhong Liu and Shruthi Chakrapani and has published in prestigious journals such as PLoS ONE, SIAM Journal on Computing and Arthritis Care & Research.

In The Last Decade

D. Stott Parker

29 papers receiving 384 citations

Peers

Countries citing papers authored by D. Stott Parker

Since Specialization

Citations

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

Fields of papers citing papers by D. Stott Parker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Stott Parker. 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 D. Stott Parker. The network helps show where D. Stott Parker may publish in the future.

Co-authorship network of co-authors of D. Stott Parker

This figure shows the co-authorship network connecting the top 25 collaborators of D. Stott Parker. A scholar is included among the top collaborators of D. Stott Parker 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 D. Stott Parker. D. Stott Parker 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

#	Work	Indexed citations
1	Extracting Urban Microclimates from Electricity Bills 2017 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Thuy Vu, D. Stott Parker	1
2	$K$-Embeddings: Learning Conceptual Embeddings for Words using Context 2016 ·Thuy Vu, D. Stott Parker	7
3	Optimized retrieval algorithms for personalized content aggregation 2013 ·Dan He, D. Stott Parker	1
4	Publication Outcomes of Abstracts Presented at an American College of Rheumatology/Association of Rheumatology Health Professionals Annual Scientific Meeting 2012 ·Arthritis Care & Research ·Gil Amarilyo, Jennifer M. P. Woo, Daniel E. Furst, (unknown), (unknown), (unknown), D. Stott Parker, Deborah McCurdy	14
5	Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline 2010 ·PLoS ONE ·Ivo D. Dinov, (unknown), (unknown), Zhizhong Liu, Paul Eggert, (unknown), Alen Zamanyan, Shruthi Chakrapani, John Van Horn, D. Stott Parker, (unknown), (unknown), Boris A. Gutman, Roger P. Woods, Arthur W. Toga	106
6	Principal ranking meta-algorithms 2010 ·D. Stott Parker, (unknown)	4
7	The Semantic Space-Time Models of the Streamonas Data Stream Management System 2009 ·(unknown), D. Stott Parker	1
8	Architectural Principles of the "Streamonas" Data Stream Management System and Performance Evaluation Based on the Linear Road Benchmark 2008 ·(unknown), D. Stott Parker	3
9	The Tangram stream query processing system 2003 ·D. Stott Parker, Richard R. Muntz, (unknown)	11
10	Evolving from Bioinformatics in-the-Small to Bioinformatics in-the-Large 2003 ·OMICS A Journal of Integrative Biology ·D. Stott Parker, Michael M. Gorlick, Chris Lee	8
11	Empirical comparisons of various voting methods in bagging 2003 ·(unknown), D. Stott Parker	4
12	Monte Carlo arithmetic: how to gamble with floating point and win 2000 ·Computing in Science & Engineering ·D. Stott Parker, (unknown), Paul Eggert	24
13	Narrowing grammar: theory, implementation, and applications 1992 ·The Journal of Logic Programming ·(unknown), D. Stott Parker	2
14	Mockingbird: A logical methodology for testing 1990 ·The Journal of Logic Programming ·Michael M. Gorlick, Carl Kesselman, (unknown), D. Stott Parker	23
15	Narrowing grammar: a lazy functional logic formalism for language analysis 1989 ·University Microfilms International eBooks ·(unknown), D. Stott Parker	1
16	Saving traces for Ada debugging 1985 ·ACM SIGAda Ada Letters ·(unknown), D. Stott Parker	40
17	Expert database systems (workshop review) 1985 ·Michael L. Brodie, (unknown), D. Stott Parker, Gio Wiederhold, Carlo Zaniolo, Larry Kerschberg	4
18	Inferences involving embedded multivalued dependencies and transitive dependencies 1980 ·D. Stott Parker, (unknown)	30
19	Conditions for Optimality of the Huffman Algorithm 1980 ·SIAM Journal on Computing ·D. Stott Parker	31
20	Die griechischen Dichterfragmente der römischen Kaiserzeit 1962 ·The Classical World ·D. Stott Parker, (unknown)	6

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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