Spencer S. Pearson

579 total citations · 1 hit paper
7 papers, 356 citations indexed

About

Spencer S. Pearson is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Spencer S. Pearson has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Spencer S. Pearson's work include Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (3 papers) and Software Reliability and Analysis Research (2 papers). Spencer S. Pearson is often cited by papers focused on Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (3 papers) and Software Reliability and Analysis Research (2 papers). Spencer S. Pearson collaborates with scholars based in United States. Spencer S. Pearson's co-authors include Benjamin J. Keller, Rui Abreu, René Just, Gordon Fraser, Michael D. Ernst, José Campos, Yasin N. Silva, Walid G. Aref, Mohamed H. Ali and Per-Åke Larson and has published in prestigious journals such as The Journal of Strength and Conditioning Research, Proceedings of the VLDB Endowment and Journal of Systems and Software.

In The Last Decade

Spencer S. Pearson

7 papers receiving 347 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluating and Improving Fault Localization

2017 288 citations Spencer S. Pearson, José Campos et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Spencer S. Pearson United States	6	268	246	96	58	43	7	356
Alexandre Perez Portugal	11	366 1.4×	296 1.2×	98 1.0×	20 0.3×	46 1.1×	23	419
Surafel Lemma Abebe Ethiopia	14	136 0.5×	384 1.6×	147 1.5×	69 1.2×	118 2.7×	24	446
Bao N. Nguyen United States	4	220 0.8×	147 0.6×	77 0.8×	78 1.3×	29 0.7×	5	270
Seulbae Kim United States	6	198 0.7×	245 1.0×	74 0.8×	223 3.8×	60 1.4×	8	350
Dongdong She United States	7	138 0.5×	110 0.4×	49 0.5×	155 2.7×	86 2.0×	13	241
Yingjun Lyu United States	7	141 0.5×	169 0.7×	114 1.2×	63 1.1×	34 0.8×	11	278
Sushant Kumar Pandey India	9	265 1.0×	295 1.2×	135 1.4×	36 0.6×	95 2.2×	24	367
Rajni Mohana India	7	56 0.2×	168 0.7×	97 1.0×	40 0.7×	78 1.8×	23	255
Tadahiro Uehara Japan	10	177 0.7×	201 0.8×	145 1.5×	60 1.0×	24 0.6×	24	295
Xiaolin Ju China	9	180 0.7×	202 0.8×	78 0.8×	50 0.9×	53 1.2×	38	278

Countries citing papers authored by Spencer S. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Spencer S. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spencer S. Pearson. 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 Spencer S. Pearson. The network helps show where Spencer S. Pearson may publish in the future.

Co-authorship network of co-authors of Spencer S. Pearson

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

All Works

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7 of 7 papers shown

1.

Pearson, Spencer S., José Campos, René Just, et al.. (2017). Evaluating and Improving Fault Localization. 609–620. 288 indexed citations breakdown →

2.

Pearson, Spencer S.. (2016). Evaluation of fault localization techniques. 1115–1117. 8 indexed citations

3.

Glass, S. C., et al.. (2016). Core Muscle Activation During Unstable Bicep Curl Using a Water-Filled Instability Training Tube. The Journal of Strength and Conditioning Research. 30(11). 3212–3219. 14 indexed citations

4.

Silva, Yasin N., et al.. (2015). Similarity Joins: Their implementation and interactions with other database operators. Information Systems. 52. 149–162. 9 indexed citations

5.

Dietrich, Suzanne W., et al.. (2015). Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources. Journal of Systems and Software. 109. 78–87. 1 indexed citations

6.

Silva, Yasin N., Walid G. Aref, Per-Åke Larson, Spencer S. Pearson, & Mohamed H. Ali. (2012). Similarity queries: their conceptual evaluation, transformations, and processing. The VLDB Journal. 22(3). 395–420. 24 indexed citations

7.

Silva, Yasin N. & Spencer S. Pearson. (2012). Exploiting database similarity joins for metric spaces. Proceedings of the VLDB Endowment. 5(12). 1922–1925. 12 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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