Ryan Riegel

764 total citations
8 papers, 254 citations indexed

About

Ryan Riegel is a scholar working on Artificial Intelligence, Ecology and Computational Theory and Mathematics. According to data from OpenAlex, Ryan Riegel has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Ecology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Ryan Riegel's work include Remote Sensing in Agriculture (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Neural Networks and Applications (2 papers). Ryan Riegel is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Neural Networks and Applications (2 papers). Ryan Riegel collaborates with scholars based in United States, United Kingdom and South Africa. Ryan Riegel's co-authors include Gordon T. Richards, Adam D. Myers, Alexander Gray, Róbert Brunner, Scott F. Anderson, Alexander S. Szalay, R. C. Nichol, Donald P. Schneider, Prithviraj Sen and Alexander Gray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and The Astrophysical Journal Supplement Series.

In The Last Decade

Ryan Riegel

7 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Riegel United States	4	214	73	50	34	17	8	254
Kate Storey-Fisher United States	9	197 0.9×	73 1.0×	50 1.0×	31 0.9×	9 0.5×	13	237
L. Faccioli France	9	175 0.8×	88 1.2×	33 0.7×	35 1.0×	10 0.6×	22	229
Mohammadjavad Vakili Netherlands	10	214 1.0×	105 1.4×	28 0.6×	25 0.7×	18 1.1×	12	234
L Blot Spain	6	268 1.3×	73 1.0×	80 1.6×	16 0.5×	8 0.5×	8	285
I. Sevilla-Noarbe Spain	9	169 0.8×	56 0.8×	17 0.3×	22 0.6×	26 1.5×	27	215
T. Boch France	6	120 0.6×	33 0.5×	56 1.1×	13 0.4×	8 0.5×	25	160
Anna K. Weigel Switzerland	8	414 1.9×	120 1.6×	98 2.0×	24 0.7×	18 1.1×	8	449
M. V. Costa-Duarte Brazil	7	154 0.7×	56 0.8×	30 0.6×	16 0.5×	30 1.8×	11	173
Caroline Heneka Germany	9	185 0.9×	48 0.7×	78 1.6×	16 0.5×	8 0.5×	20	214
Michelle Ntampaka United States	8	185 0.9×	61 0.8×	16 0.3×	44 1.3×	26 1.5×	15	214

Countries citing papers authored by Ryan Riegel

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Riegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Riegel

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cozman, Fábio Gagliardi, Radu Marinescu, Junkyu Lee, et al.. (2024). Markov conditions and factorization in logical credal networks. International Journal of Approximate Reasoning. 172. 109237–109237.

2.

Fagin, Ronald, Ryan Riegel, & Alexander Gray. (2024). Foundations of reasoning with uncertainty via real-valued logics. Proceedings of the National Academy of Sciences. 121(21). e2309905121–e2309905121. 2 indexed citations

3.

Sen, Prithviraj, et al.. (2022). Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8212–8219. 19 indexed citations

4.

Lu, Songtao, et al.. (2021). Training Logical Neural Networks by Primal–Dual Methods for Neuro-Symbolic Reasoning. 18. 5559–5563. 2 indexed citations

5.

Peters, Christina, Gordon T. Richards, Adam D. Myers, et al.. (2015). QUASAR CLASSIFICATION USING COLOR AND VARIABILITY. The Astrophysical Journal. 811(2). 95–95. 36 indexed citations

6.

Lee, Dongryeol, et al.. (2012). Multitree Algorithms for Large-Scale Astrostatistics. 463–483. 1 indexed citations

7.

Riegel, Ryan, Alexander Gray, & Gordon T. Richards. (2008). Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. 208–218. 7 indexed citations

8.

Richards, Gordon T., Adam D. Myers, Alexander Gray, et al.. (2008). EFFICIENT PHOTOMETRIC SELECTION OF QUASARS FROM THE SLOAN DIGITAL SKY SURVEY. II. ∼1, 000, 000 QUASARS FROM DATA RELEASE 6. The Astrophysical Journal Supplement Series. 180(1). 67–83. 187 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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