Jeff M. Phillips

2.9k total citations
71 papers, 1.3k citations indexed

About

Jeff M. Phillips is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jeff M. Phillips has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 20 papers in Signal Processing. Recurrent topics in Jeff M. Phillips's work include Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (7 papers) and Algorithms and Data Compression (6 papers). Jeff M. Phillips is often cited by papers focused on Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (7 papers) and Algorithms and Data Compression (6 papers). Jeff M. Phillips collaborates with scholars based in United States, China and Denmark. Jeff M. Phillips's co-authors include Suresh Venkatasubramanian, Carlo Tomasi, Ran Liu, Feifei Li, Dong Xie, Pankaj K. Agarwal, Lydia E. Kavraki, Nazareth Bedrossian, Ke Yi and Yang Zhao and has published in prestigious journals such as The American Journal of Gastroenterology, IEEE Transactions on Knowledge and Data Engineering and The Laryngoscope.

In The Last Decade

Jeff M. Phillips

65 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff M. Phillips United States	19	505	408	342	289	172	71	1.3k
Yiguang Liu China	23	398 0.8×	634 1.6×	169 0.5×	239 0.8×	52 0.3×	106	1.5k
Ajit Singh United States	17	949 1.9×	624 1.5×	126 0.4×	491 1.7×	230 1.3×	53	2.3k
Jörg-Rüdiger Sack Canada	19	234 0.5×	396 1.0×	342 1.0×	240 0.8×	85 0.5×	102	1.3k
Bin Wang China	27	1.7k 3.4×	602 1.5×	188 0.5×	363 1.3×	90 0.5×	202	2.9k
Xuefeng Liu China	19	385 0.8×	348 0.9×	170 0.5×	553 1.9×	124 0.7×	103	1.9k
Zhaoquan Gu China	23	766 1.5×	547 1.3×	202 0.6×	578 2.0×	125 0.7×	165	2.2k
Günter Rote Germany	23	198 0.4×	544 1.3×	337 1.0×	205 0.7×	110 0.6×	152	1.8k
Joachim Gudmundsson Australia	21	216 0.4×	429 1.1×	888 2.6×	286 1.0×	62 0.4×	111	1.7k
Piyush Kumar United States	17	238 0.5×	427 1.0×	198 0.6×	113 0.4×	91 0.5×	62	1.3k
Yan Xiong China	19	329 0.7×	159 0.4×	156 0.5×	330 1.1×	112 0.7×	157	1.2k

Countries citing papers authored by Jeff M. Phillips

Since Specialization

Citations

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

Fields of papers citing papers by Jeff M. Phillips

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff M. Phillips. 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 Jeff M. Phillips. The network helps show where Jeff M. Phillips may publish in the future.

Co-authorship network of co-authors of Jeff M. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff M. Phillips. A scholar is included among the top collaborators of Jeff M. Phillips 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 Jeff M. Phillips. Jeff M. Phillips 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

Phillips, Jeff M., et al.. (2025). Zombie Hashing: Reanimating Tombstones in Graveyard. Proceedings of the ACM on Management of Data. 3(3). 1–27.

Phillips, Jeff M., et al.. (2024). Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing. IEEE Transactions on Visualization and Computer Graphics. 31(1). 141–151. 1 indexed citations

Gupta, Parth, et al.. (2024). Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. 1486–1496. 3 indexed citations

Phillips, Jeff M., et al.. (2023). Ferret: Reviewing Tabular Datasets for Manipulation. Computer Graphics Forum. 42(3). 187–198. 2 indexed citations

Yeh, Chin‐Chia Michael, Huiyuan Chen, Yan Zheng, et al.. (2023). An Efficient Content-based Time Series Retrieval System. 4909–4915.

Nobre, Carolina, et al.. (2021). Predicting intent behind selections in scatterplot visualizations. Information Visualization. 20(4). 207–228. 14 indexed citations

Dev, Sunipa, et al.. (2021). Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1968–1994. 79 indexed citations

Li, Feifei, et al.. (2021). Semantic embedding for regions of interest. The VLDB Journal. 30(3). 311–331. 7 indexed citations

Phillips, Jeff M., et al.. (2021). Self-Adaptable Point Processes with Nonparametric Time Decays. Neural Information Processing Systems. 34. 1 indexed citations

10.

Dev, Sunipa, et al.. (2021). A Visual Tour of Bias Mitigation Techniques for Word Representations. 2019. 4064–4065. 2 indexed citations

11.

Afshani, Peyman & Jeff M. Phillips. (2019). Independent Range Sampling, Revisited Again. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 13. 4 indexed citations

12.

Zheng, Yan, et al.. (2019). Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. IEEE Transactions on Big Data. 7(3). 524–534. 11 indexed citations

13.

Phillips, Jeff M., et al.. (2016). Relative Error Embeddings of the Gaussian Kernel Distance.. 560–576.

14.

Wang, Haitao, Lingxiao Huang, Jian Li, & Jeff M. Phillips. (2016). ε-Kernel Coresets for Stochastic Points. Digital Commons - USU (Utah State University). 5 indexed citations

15.

Agarwal, Pankaj K., Graham Cormode, Zengfeng Huang, et al.. (2013). Mergeable summaries. ACM Transactions on Database Systems. 38(4). 1–28. 78 indexed citations

16.

Phillips, Jeff M., et al.. (2012). Uncertainty visualization in HARDI based on ensembles of ODFs. PubMed. 2013. 193–200. 25 indexed citations

17.

Phillips, Jeff M., et al.. (2011). Generating a diverse set of high-quality clusterings. 80–91. 2 indexed citations

18.

Chandramouli, Badrish, Jeff M. Phillips, & Jun Yang. (2007). Value-based notification conditions in large-scale publish/subscribe systems?. Very Large Data Bases. 878–889. 10 indexed citations

19.

Agarwal, Deepak, Jeff M. Phillips, & Suresh Venkatasubramanian. (2006). The hunting of the bump: on maximizing statistical discrepancy. Symposium on Discrete Algorithms. 1137–1146. 25 indexed citations

20.

Phillips, Jeff M. & Pankaj K. Agarwal. (2006). On Bipartite Matching under the RMS Distance. Canadian Conference on Computational Geometry. 6 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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