Maria Jump

2.3k total citations · 1 hit paper
11 papers, 1.7k citations indexed

About

Maria Jump is a scholar working on Information Systems, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Maria Jump has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Hardware and Architecture and 6 papers in Artificial Intelligence. Recurrent topics in Maria Jump's work include Software Engineering Research (9 papers), Parallel Computing and Optimization Techniques (8 papers) and Logic, programming, and type systems (3 papers). Maria Jump is often cited by papers focused on Software Engineering Research (9 papers), Parallel Computing and Optimization Techniques (8 papers) and Logic, programming, and type systems (3 papers). Maria Jump collaborates with scholars based in United States, Australia and United Kingdom. Maria Jump's co-authors include Kathryn S. McKinley, Stephen M. Blackburn, Martin Hirzel, Aashish Phansalkar, Antony L. Hosking, Ben Wiedermann, Samuel Z. Guyer, Thomas VanDrunen, Robin Garner and Daniel von Dincklage and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Software Practice and Experience.

In The Last Decade

Maria Jump

11 papers receiving 1.6k 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.

The DaCapo benchmarks

2006 1.1k citations Stephen M. Blackburn, Robin Garner et al. ANU Open Research (Australian National University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Jump United States	9	946	924	839	730	434	11	1.7k
Thomas VanDrunen United States	6	813 0.9×	769 0.8×	692 0.8×	641 0.9×	354 0.8×	11	1.4k
Samuel Z. Guyer United States	19	1.1k 1.2×	1.1k 1.2×	1.1k 1.3×	951 1.3×	628 1.4×	41	2.2k
Evelyn Duesterwald United States	21	1.3k 1.4×	959 1.0×	584 0.7×	441 0.6×	353 0.8×	45	1.8k
Daniel Frampton Australia	13	1.1k 1.2×	1.0k 1.1×	867 1.0×	722 1.0×	396 0.9×	25	1.8k
Daniel von Dincklage United States	8	826 0.9×	789 0.9×	749 0.9×	711 1.0×	405 0.9×	16	1.5k
Robin Garner Australia	6	856 0.9×	801 0.9×	723 0.9×	643 0.9×	353 0.8×	8	1.5k
Julian Dolby United States	26	760 0.8×	970 1.0×	947 1.1×	1.2k 1.7×	1.2k 2.7×	83	2.5k
Brian Demsky United States	19	514 0.5×	808 0.9×	441 0.5×	435 0.6×	363 0.8×	70	1.3k
Maurício Serrano United States	17	1.0k 1.1×	831 0.9×	734 0.9×	341 0.5×	234 0.5×	52	1.5k
Godmar Back United States	15	474 0.5×	672 0.7×	414 0.5×	352 0.5×	124 0.3×	52	1.1k

Countries citing papers authored by Maria Jump

Since Specialization

Citations

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

Fields of papers citing papers by Maria Jump

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Jump

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

11 of 11 papers shown

1.

Jump, Maria, et al.. (2022). Designing Autograders for Novice Programmers. 1200–1200. 1 indexed citations

2.

Hertz, Matthew & Maria Jump. (2013). Trace-based teaching in early programming courses. 561–566. 44 indexed citations

3.

Jump, Maria & Kathryn S. McKinley. (2009). Dynamic shape analysis via degree metrics. 119–128. 21 indexed citations

4.

Jump, Maria & Kathryn S. McKinley. (2009). Detecting memory leaks in managed languages with Cork. Software Practice and Experience. 40(1). 1–22. 15 indexed citations

5.

Blackburn, Stephen M., Kathryn S. McKinley, Robin Garner, et al.. (2008). Wake up and smell the coffee. Communications of the ACM. 51(8). 83–89. 104 indexed citations

6.

Jump, Maria & Kathryn S. McKinley. (2007). Cork. 31–38. 77 indexed citations

7.

Jump, Maria & Kathryn S. McKinley. (2007). Cork. ACM SIGPLAN Notices. 42(1). 31–38. 89 indexed citations

8.

Blackburn, Stephen M., Robin Garner, Kathryn S. McKinley, et al.. (2006). The DaCapo benchmarks. ANU Open Research (Australian National University). 169–190. 1139 indexed citations breakdown →

9.

Blackburn, Stephen M., Robin Garner, Kathryn S. McKinley, et al.. (2006). The DaCapo benchmarks. ACM SIGPLAN Notices. 41(10). 169–190. 164 indexed citations

10.

Jump, Maria & Kathryn S. McKinley. (2006). Cork: Dynamic Memory Leak Detection for Java. 7 indexed citations

11.

Jump, Maria, Stephen M. Blackburn, & Kathryn S. McKinley. (2004). Dynamic object sampling for pretenuring. ANU Open Research (Australian National University). 152–162. 44 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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