Robert R. Snapp

1.9k total citations
33 papers, 496 citations indexed

About

Robert R. Snapp is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert R. Snapp has authored 33 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert R. Snapp's work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Advanced Statistical Methods and Models (4 papers). Robert R. Snapp is often cited by papers focused on Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Advanced Statistical Methods and Models (4 papers). Robert R. Snapp collaborates with scholars based in United States and Australia. Robert R. Snapp's co-authors include Demetri Psaltis, William C. Schieve, H. J. Carmichael, Santosh S. Venkatesh, Teresa Ruíz, Michael Radermacher, Lingbo Yu, Chuanyi Ji, Ferdinando Villa and Kenneth J. Bagstad and has published in prestigious journals such as Physical review. B, Condensed matter, IEEE Transactions on Information Theory and Physical Review A.

In The Last Decade

Robert R. Snapp

30 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert R. Snapp United States	12	99	82	62	54	49	33	496
H. Haken Germany	12	123 1.2×	78 1.0×	162 2.6×	77 1.4×	27 0.6×	31	646
Bernard W. Lindgren	10	85 0.9×	36 0.4×	24 0.4×	51 0.9×	19 0.4×	17	698
Larry Wasserman United Kingdom	5	131 1.3×	44 0.5×	9 0.1×	15 0.3×	43 0.9×	11	555
Cornelis Kraaikamp Netherlands	5	64 0.6×	27 0.3×	21 0.3×	27 0.5×	24 0.5×	6	453
Laura C. Carpi Brazil	13	94 0.9×	75 0.9×	17 0.3×	44 0.8×	36 0.7×	18	605
George Datseris Germany	11	61 0.6×	51 0.6×	15 0.2×	78 1.4×	12 0.2×	27	400
Lev Guzmán-Vargas Mexico	14	74 0.7×	38 0.5×	9 0.1×	30 0.6×	16 0.3×	66	659
Helen MacGillivray Australia	13	172 1.7×	20 0.2×	14 0.2×	62 1.1×	25 0.5×	63	1.1k
Xiaoqi Ma China	15	179 1.8×	85 1.0×	8 0.1×	81 1.5×	49 1.0×	91	768
Jae-Gil Lee South Korea	14	214 2.2×	125 1.5×	49 0.8×	35 0.6×	74 1.5×	31	887

Countries citing papers authored by Robert R. Snapp

Since Specialization

Citations

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

Fields of papers citing papers by Robert R. Snapp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert R. Snapp. 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 Robert R. Snapp. The network helps show where Robert R. Snapp may publish in the future.

Co-authorship network of co-authors of Robert R. Snapp

This figure shows the co-authorship network connecting the top 25 collaborators of Robert R. Snapp. A scholar is included among the top collaborators of Robert R. Snapp 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 Robert R. Snapp. Robert R. Snapp 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

Snapp, Robert R., et al.. (2021). Teaching Computational Thinking. The MIT Press eBooks. 3 indexed citations

Snapp, Robert R., et al.. (2015). An Amazing Algorithm. Mathematics Teaching in the Middle School. 20(9). 540–547. 1 indexed citations

Yu, Lingbo, Robert R. Snapp, Teresa Ruíz, & Michael Radermacher. (2013). Projection-based volume alignment. Journal of Structural Biology. 182(2). 93–105. 14 indexed citations

Langevin, Hélène M., Robert R. Snapp, Nicole A. Bouffard, et al.. (2010). Tissue stretch induces nuclear remodeling in connective tissue fibroblasts. Histochemistry and Cell Biology. 133(4). 405–415. 44 indexed citations

Yu, Lingbo, Robert R. Snapp, Teresa Ruíz, & Michael Radermacher. (2010). Probabilistic principal component analysis with expectation maximization (PPCA-EM) facilitates volume classification and estimates the missing data. Journal of Structural Biology. 171(1). 18–30. 42 indexed citations

Mirchandani, G., et al.. (2009). Looking through wavelets to view the Ising problem. 777–780.

Snapp, Robert R.. (2006). A Puzzles-First approach to computer science. ACM SIGCSE Bulletin. 38(3). 310–310. 1 indexed citations

Snapp, Robert R., et al.. (2002). Asymptotic predictions of the finite-sample risk of the k-nearest-neighbor classifier. 2. 1–6.

Lee, Byung Seok, Robert R. Snapp, Ron Musick, & Terence Critchlow. (2002). Metadata models for ad hoc queries on terabyte-scale scientific simulations. Journal of the Brazilian Computer Society. 8(1). 5–15. 2 indexed citations

10.

Lee, Byung Suk, Robert R. Snapp, Ron Musick, & Terence Critchlow. (2001). Ad hoc Query Support for Very Large Scientific Data: the Metadata Approach.. 199–212. 2 indexed citations

11.

Snapp, Robert R., et al.. (2001). Ad hoc Query Support for Very Large Simulation Mesh Data: the Metadata Approach. University of North Texas Digital Library (University of North Texas). 2 indexed citations

12.

Snapp, Robert R., et al.. (2001). Toward a query language on simulation mesh data: an object-oriented approach. 242–249. 4 indexed citations

13.

Snapp, Robert R. & Santosh S. Venkatesh. (1998). Asymptotic expansions of the $k$ nearest neighbor risk. The Annals of Statistics. 26(3). 15 indexed citations

14.

Golden, Kenneth I., et al.. (1998). Retardation effects on collective excitations in correlated superlattices. Physical review. B, Condensed matter. 57(16). 9883–9892. 6 indexed citations

15.

Golden, Kenneth I., et al.. (1997). Plasmon and shear modes in correlated superlattices. Physical review. B, Condensed matter. 55(24). 16349–16358. 9 indexed citations

16.

Snapp, Robert R. & Tong Xu. (1995). Estimating the Bayes Risk from Sample Data. Neural Information Processing Systems. 8. 232–238. 4 indexed citations

17.

Psaltis, Demetri, Robert R. Snapp, & Santosh S. Venkatesh. (1994). On the finite sample performance of the nearest neighbor classifier. IEEE Transactions on Information Theory. 40(3). 820–837. 24 indexed citations

18.

Snapp, Robert R., Demetri Psaltis, & Santosh S. Venkatesh. (1990). Asymptotic slowing down of the nearest-neighbor classifier. Neural Information Processing Systems. 3. 932–938. 5 indexed citations

19.

Snapp, Robert R. & William C. Schieve. (1990). Singular perturbation analysis of the mean-field limit of semiclassical optics. Physical Review A. 41(1). 421–425. 1 indexed citations

20.

Snapp, Robert R., H. J. Carmichael, & William C. Schieve. (1981). The path to “turbulence”: Optical bistability and universality in the ring cavity. Optics Communications. 40(1). 68–72. 30 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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