Scott Weingart

1.4k total citations · 1 hit paper
27 papers, 817 citations indexed

About

Scott Weingart is a scholar working on Literature and Literary Theory, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Scott Weingart has authored 27 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Literature and Literary Theory, 5 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Scott Weingart's work include Complex Network Analysis Techniques (4 papers), Big Data and Business Intelligence (3 papers) and Digital Humanities and Scholarship (3 papers). Scott Weingart is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Big Data and Business Intelligence (3 papers) and Digital Humanities and Scholarship (3 papers). Scott Weingart collaborates with scholars based in United States, Canada and Netherlands. Scott Weingart's co-authors include Cassidy R. Sugimoto, Shawn Graham, Daniel Noesgaard, Joseph T. Miller, Dmitry Schigel, J. Mason Heberling, Ian Milligan, Andrew Tsou, Katy Börner and Timothy D. Bowman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientometrics.

In The Last Decade

Scott Weingart

24 papers receiving 755 citations

Hit Papers

Data integration enables global biodiversity synthesis 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Data integration enables global biodiversity synthesis
    2021 195 citations J. Mason Heberling, Joseph T. Miller et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Weingart United States 12 139 129 126 120 108 27 817
Timothy D. Bowman United States 21 272 2.0× 41 0.3× 337 2.7× 144 1.2× 351 3.3× 64 1.3k
Paul F. Uhlir United States 12 249 1.8× 51 0.4× 63 0.5× 61 0.5× 54 0.5× 40 751
Ann Zimmerman United States 13 437 3.1× 97 0.8× 122 1.0× 81 0.7× 30 0.3× 28 930
Barbara R. MacRoberts United States 17 298 2.1× 62 0.5× 157 1.2× 167 1.4× 884 8.2× 100 2.0k
Archer L. Batcheller United States 7 334 2.4× 262 2.0× 113 0.9× 86 0.7× 25 0.2× 9 1.1k
Markus Luczak–Roesch New Zealand 12 156 1.1× 121 0.9× 106 0.8× 184 1.5× 15 0.1× 71 609
Md. Anwarul Islam Bangladesh 19 216 1.6× 26 0.2× 93 0.7× 75 0.6× 34 0.3× 91 945
Ingo Feinerer Austria 12 205 1.5× 25 0.2× 249 2.0× 453 3.8× 31 0.3× 38 1.4k
Matthew S. Mayernik United States 16 635 4.6× 66 0.5× 124 1.0× 121 1.0× 59 0.5× 79 1.0k
Arsev Umur Aydınoğlu Türkiye 7 666 4.8× 82 0.6× 69 0.5× 90 0.8× 134 1.2× 21 1.1k

Countries citing papers authored by Scott Weingart

Since Specialization
Citations

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

Fields of papers citing papers by Scott Weingart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Weingart

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

All Works

20 of 20 papers shown
1.
Harvey, Francis, Tamara Mchedlidze, Sara Irina Fabrikant, et al.. (2024). Uncertainty in humanities network visualization. Frontiers in Communication. 8. 4 indexed citations
2.
Heberling, J. Mason, Joseph T. Miller, Daniel Noesgaard, Scott Weingart, & Dmitry Schigel. (2021). Data integration enables global biodiversity synthesis. Proceedings of the National Academy of Sciences. 118(6). 195 indexed citations breakdown →
3.
Weingart, Scott, et al.. (2021). The Index of Digital Humanities Conferences. SHILAP Revista de lepidopterología. 7. 4 indexed citations
4.
Graham, Shawn, Ian Milligan, Scott Weingart, & Kim Martin. (2021). Exploring Big Historical Data. WORLD SCIENTIFIC eBooks.
5.
Weingart, Scott, et al.. (2020). New Scholarship in the Digital Age: Making, Publishing, Maintaining, and Preserving Non-Traditional Scholarly Objects.. DH.
6.
Ahnert, Ruth, et al.. (2020). The Network Turn. Cambridge University Press eBooks. 19 indexed citations
7.
Weingart, Scott, et al.. (2020). Digits: Two Reports on New Units of Scholarly Publication. Journal of Electronic Publishing. 22(1). 3 indexed citations
8.
Weingart, Scott, et al.. (2020). CAMPI: Computer-Aided Metadata Generation for Photo archives Initiative. Figshare. 4 indexed citations
9.
10.
Graham, Shawn, Scott Weingart, & Ian Milligan. (2018). Introducción a Topic Modeling y MALLET. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Otis, Jessica P., et al.. (2017). Exploring and Analyzing Network Data with Python. 6 indexed citations
12.
Weingart, Scott, et al.. (2017). What’s Under the Big Tent?: A Study of ADHO Conference Abstracts. SHILAP Revista de lepidopterología. 7(1). 12 indexed citations
13.
Warren, Christopher, et al.. (2016). Towards Interoperable Network Ontologies for the Digital Humanities. International Journal of Humanities and Arts Computing. 10(1). 22–35. 5 indexed citations
14.
Weingart, Scott, et al.. (2015). What’s Under the Big Tent? A Study of ADHO Conference Abstracts, 2004-2014. Figshare. 2 indexed citations
15.
Graham, Shawn & Scott Weingart. (2014). The Equifinality of Archaeological Networks: an Agent-Based Exploratory Lab Approach. Journal of Archaeological Method and Theory. 22(1). 248–274. 17 indexed citations
16.
Ekbia, Hamid R., Inna Kouper, Timothy D. Bowman, et al.. (2014). Big data, bigger dilemmas: A critical review. Journal of the Association for Information Science and Technology. 66(8). 1523–1545. 197 indexed citations
17.
Graham, Shawn, Ian Milligan, & Scott Weingart. (2014). Exploring Big Historical Data. IMPERIAL COLLEGE PRESS eBooks. 43 indexed citations
18.
Thelwall, Mike, Andrew Tsou, Scott Weingart, Kim Holmberg, & Stefanie Haustein. (2013). Tweeting Links to Academic Articles. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–8. 56 indexed citations
19.
Graham, Shawn, Scott Weingart, & Ian Milligan. (2012). Getting Started with Topic Modeling and MALLET. 53 indexed citations
20.
Weingart, Scott, et al.. (2011). Computational Analysis of Gender and the Body in European Fairy Tales.. DH. 255–257. 2 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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