Jeffrey Jestes

847 total citations
11 papers, 576 citations indexed

About

Jeffrey Jestes is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jeffrey Jestes has authored 11 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Jeffrey Jestes's work include Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (5 papers) and Traffic Prediction and Management Techniques (2 papers). Jeffrey Jestes is often cited by papers focused on Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (5 papers) and Traffic Prediction and Management Techniques (2 papers). Jeffrey Jestes collaborates with scholars based in United States and Hong Kong. Jeffrey Jestes's co-authors include Li Fei-Fei, Chi Zhang, Ke Yi, Rajeev Balasubramonian, Al Davis, Alper Buyuktosunoglu, Feifei Li, Vijayalakshmi Srinivasan, Seth H. Pugsley and Huihui Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and IEEE Micro.

In The Last Decade

Jeffrey Jestes

11 papers receiving 559 citations

Peers

Jeffrey Jestes

CNC

SP

HA

IS

AI

Yongluan Zhou Denmark

Ashwin Lall United States

Makoto Onizuka Japan

Jeffrey Considine United States

Karthikeyan Ramasamy United States

M. Ramakrishna India

Praveen Seshadri United States

Angela Demke Brown Canada

Reza Farivar United States

Yongluan Zhou Denmark

Jeffrey Jestes

577 ×1.7

CNC

224 ×0.9

SP

47 ×0.3

HA

365 ×2.6

IS

201 ×1.5

AI

Citations per year, relative to Jeffrey Jestes Jeffrey Jestes (= 1×) peers Yongluan Zhou

Countries citing papers authored by Jeffrey Jestes

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Jestes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Jestes

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

All Works

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11 of 11 papers shown

1.

Pugsley, Seth H., Jeffrey Jestes, Rajeev Balasubramonian, et al.. (2014). Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads. IEEE Micro. 34(4). 44–52. 51 indexed citations

2.

Pugsley, Seth H., Jeffrey Jestes, Huihui Zhang, et al.. (2014). NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. 190–200. 175 indexed citations

3.

Jestes, Jeffrey, et al.. (2013). Quality and efficiency for kernel density estimates in large data. 433–444. 47 indexed citations

4.

Zhang, Chi, Li Fei-Fei, & Jeffrey Jestes. (2012). Efficient parallel kNN joins for large data in MapReduce. 38–49. 167 indexed citations

5.

Li, Feifei, et al.. (2012). Efficient Threshold Monitoring for Distributed Probabilistic Data. 1120–1131. 12 indexed citations

6.

Jestes, Jeffrey, et al.. (2012). Ranking large temporal data. Proceedings of the VLDB Endowment. 5(11). 1412–1423. 8 indexed citations

7.

Jestes, Jeffrey, Ke Yi, & Li Fei-Fei. (2011). Building wavelet histograms on large data in MapReduce. Proceedings of the VLDB Endowment. 5(2). 109–120. 24 indexed citations

8.

Jestes, Jeffrey, Graham Cormode, Li Fei-Fei, & Ke Yi. (2010). Semantics of Ranking Queries for Probabilistic Data. IEEE Transactions on Knowledge and Data Engineering. 4 indexed citations

9.

Jestes, Jeffrey, Graham Cormode, Li Fei-Fei, & Ke Yi. (2010). Semantics of Ranking Queries for Probabilistic Data. IEEE Transactions on Knowledge and Data Engineering. 23(12). 1903–1917. 20 indexed citations

10.

Jestes, Jeffrey, et al.. (2010). Probabilistic string similarity joins. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 327–338. 28 indexed citations

11.

Fei-Fei, Li, Ke Yi, & Jeffrey Jestes. (2009). Ranking distributed probabilistic data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 361–374. 40 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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