Julie Letchner

438 total citations
10 papers, 304 citations indexed

About

Julie Letchner is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Julie Letchner has authored 10 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Julie Letchner's work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Context-Aware Activity Recognition Systems (3 papers). Julie Letchner is often cited by papers focused on Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers) and Context-Aware Activity Recognition Systems (3 papers). Julie Letchner collaborates with scholars based in United States and United Kingdom. Julie Letchner's co-authors include Christopher Ré, Dan Suciu, Magdalena Bałazińska, Eric Horvitz, John Krumm, Matthai Philipose, Evan Welbourne, Yang Li, Nodira Khoussainova and Gaetano Borriello and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Proceedings of the VLDB Endowment and IEEE Internet Computing.

In The Last Decade

Julie Letchner

10 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie Letchner United States	6	193	155	85	55	52	10	304
Joonho Kwon South Korea	10	89 0.5×	172 1.1×	107 1.3×	26 0.5×	123 2.4×	44	313
Marten Fischer Germany	8	38 0.2×	140 0.9×	84 1.0×	39 0.7×	85 1.6×	17	315
Huayu Wu Singapore	10	151 0.8×	116 0.7×	101 1.2×	25 0.5×	48 0.9×	32	354
Raed Alharthi United States	7	147 0.8×	231 1.5×	189 2.2×	29 0.5×	72 1.4×	25	355
Mohamed Ali United States	12	222 1.2×	165 1.1×	68 0.8×	33 0.6×	108 2.1×	40	384
Patryk Szewczyk Australia	8	126 0.7×	205 1.3×	128 1.5×	39 0.7×	157 3.0×	38	372
Cosmin-Septimiu Nechifor Germany	3	27 0.1×	107 0.7×	63 0.7×	36 0.7×	38 0.7×	3	244
Peter Hannay Australia	8	91 0.5×	140 0.9×	86 1.0×	42 0.8×	136 2.6×	36	303
Qiujian Lv China	8	176 0.9×	241 1.6×	129 1.5×	43 0.8×	100 1.9×	32	370
Christian Bockermann Germany	7	97 0.5×	77 0.5×	56 0.7×	20 0.4×	44 0.8×	11	257

Countries citing papers authored by Julie Letchner

Since Specialization

Citations

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

Fields of papers citing papers by Julie Letchner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Letchner

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Letchner. A scholar is included among the top collaborators of Julie Letchner 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 Julie Letchner. Julie Letchner 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:

10 of 10 papers shown

1.

Letchner, Julie, Magda Balazinska, Cristina Re, & Matthai Philipose. (2012). Approximation trade-offs in a Markovian stream warehouse: An empirical study. Information Systems. 39. 290–304. 3 indexed citations

2.

Letchner, Julie & Magdalena Bałazińska. (2011). Lineage for Markovian stream event queries. 26–33. 2 indexed citations

3.

Letchner, Julie, Christopher Ré, Magdalena Bałazińska, & Matthai Philipose. (2010). Approximation trade-offs in Markovian stream processing: An empirical study. 936–939. 14 indexed citations

4.

Letchner, Julie, Christopher Ré, Magdalena Bałazińska, & Matthai Philipose. (2009). Access Methods for Markovian Streams. Proceedings - International Conference on Data Engineering. 246–257. 37 indexed citations

5.

Letchner, Julie, Christopher Ré, Magdalena Bałazińska, & Matthai Philipose. (2009). Lahar demonstration. Proceedings of the VLDB Endowment. 2(2). 1610–1613. 2 indexed citations

6.

Khoussainova, Nodira, Evan Welbourne, Magdalena Bałazińska, et al.. (2008). A demonstration of Cascadia through a digital diary application. 1319–1322. 2 indexed citations

7.

Ré, Christopher, et al.. (2008). Event queries on correlated probabilistic streams. 715–728. 138 indexed citations

8.

Welbourne, Evan, Nodira Khoussainova, Julie Letchner, et al.. (2008). Cascadia. 281–294. 44 indexed citations

9.

Letchner, Julie, Christopher Ré, Magdalena Bałazińska, & Matthai Philipose. (2008). Challenges for Event Queries over Markovian Streams. IEEE Internet Computing. 12(6). 30–36. 6 indexed citations

10.

Krumm, John, Eric Horvitz, & Julie Letchner. (2007). Map Matching with Travel Time Constraints. SAE technical papers on CD-ROM/SAE technical paper series. 1. 56 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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