Jared Roesch

472 total citations
13 papers, 175 citations indexed

About

Jared Roesch is a scholar working on Artificial Intelligence, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jared Roesch has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in Jared Roesch's work include Software Engineering Research (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Logic, programming, and type systems (4 papers). Jared Roesch is often cited by papers focused on Software Engineering Research (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Logic, programming, and type systems (4 papers). Jared Roesch collaborates with scholars based in United States, Austria and China. Jared Roesch's co-authors include Ben Hardekopf, Kyle Dewey, Shumo Chu, Alvin Cheung, Dan Suciu, Leonardo de Moura, Sebastian Ullrich, Jeremy Avigad, Mehrdad Reshadi and Behnam Robatmili and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and IEEE Micro.

In The Last Decade

Jared Roesch

11 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jared Roesch United States	6	87	77	62	39	38	13	175
Alexander K. Petrenko Russia	9	102 1.2×	57 0.7×	53 0.9×	39 1.0×	25 0.7×	38	190
Aseem Rastogi United Kingdom	8	52 0.6×	201 2.6×	111 1.8×	45 1.2×	20 0.5×	11	247
Subhajit Roy India	9	152 1.7×	121 1.6×	125 2.0×	48 1.2×	45 1.2×	40	265
Fatiha Zaïdi France	6	101 1.2×	86 1.1×	128 2.1×	74 1.9×	25 0.7×	14	222
Brink van der Merwe South Africa	8	94 1.1×	79 1.0×	74 1.2×	28 0.7×	78 2.1×	29	202
Hung Nguyen Vietnam	3	163 1.9×	43 0.6×	138 2.2×	67 1.7×	21 0.6×	9	251
Clément Pit-Claudel United States	7	31 0.4×	108 1.4×	38 0.6×	29 0.7×	15 0.4×	15	160
Abhinav Jangda United States	8	35 0.4×	111 1.4×	87 1.4×	95 2.4×	22 0.6×	14	246
Diego Garbervetsky Argentina	9	96 1.1×	110 1.4×	97 1.6×	78 2.0×	21 0.6×	39	227
Kathryn E. Gray United Kingdom	8	55 0.6×	169 2.2×	81 1.3×	71 1.8×	31 0.8×	13	273

Countries citing papers authored by Jared Roesch

Since Specialization

Citations

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

Fields of papers citing papers by Jared Roesch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Roesch

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

13 of 13 papers shown

1.

Shao, Junru, Zihao Ye, Jiawei Liu, et al.. (2025). Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. 998–1013. 1 indexed citations

2.

Roesch, Jared, et al.. (2020). LastLayer: Toward Hardware and Software Continuous Integration. IEEE Micro. 40(4). 103–111. 2 indexed citations

3.

Roesch, Jared, et al.. (2019). Relay: A High-Level IR for Deep Learning.. arXiv (Cornell University). 4 indexed citations

4.

Roesch, Jared, et al.. (2019). Theia: automatically generating correct program state visualizations. 46–56. 5 indexed citations

5.

Roesch, Jared, et al.. (2018). An Architecture for Analysis. IEEE Micro. 38(3). 107–115. 1 indexed citations

6.

Chu, Shumo, et al.. (2018). Axiomatic foundations and algorithms for deciding semantic equivalences of SQL queries. Proceedings of the VLDB Endowment. 11(11). 1482–1495. 32 indexed citations

7.

Roesch, Jared, et al.. (2017). An Architecture Supporting Formal and Compositional Binary Analysis. ACM SIGARCH Computer Architecture News. 45(1). 177–191.

8.

Roesch, Jared, et al.. (2017). An Architecture Supporting Formal and Compositional Binary Analysis. 177–191. 5 indexed citations

9.

Ullrich, Sebastian, et al.. (2017). A metaprogramming framework for formal verification. Proceedings of the ACM on Programming Languages. 1(ICFP). 1–29. 27 indexed citations

10.

Dewey, Kyle, Jared Roesch, & Ben Hardekopf. (2015). Fuzzing the Rust Typechecker Using CLP (T). 482–493. 51 indexed citations

11.

Dewey, Kyle, Jared Roesch, & Ben Hardekopf. (2014). Language fuzzing using constraint logic programming. 725–730. 33 indexed citations

12.

Roesch, Jared, et al.. (2013). Improved type specialization for dynamic scripting languages. ACM SIGPLAN Notices. 49(2). 37–48.

13.

Roesch, Jared, et al.. (2013). Improved type specialization for dynamic scripting languages. 37–48. 14 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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