Sumanth Dathathri

1.3k total citations
8 papers, 53 citations indexed

About

Sumanth Dathathri is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Sumanth Dathathri has authored 8 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computational Mechanics. Recurrent topics in Sumanth Dathathri's work include Logic, programming, and type systems (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Formal Methods in Verification (3 papers). Sumanth Dathathri is often cited by papers focused on Logic, programming, and type systems (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Formal Methods in Verification (3 papers). Sumanth Dathathri collaborates with scholars based in United States, Switzerland and India. Sumanth Dathathri's co-authors include Richard M. Murray, Scott C. Livingston, Necmiye Özay, C. Balaji, Nikos Aréchiga, Sicun Gao, Rudy Bunel, Sven Gowal, Robert Stanforth and Jonathan Uesato and has published in prestigious journals such as International Communications in Heat and Mass Transfer, CaltechAUTHORS (California Institute of Technology) and arXiv (Cornell University).

In The Last Decade

Sumanth Dathathri

7 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumanth Dathathri United States	3	30	19	18	8	7	8	53
D. Jovanovic Netherlands	5	30 1.0×	15 0.8×	17 0.9×	34 4.3×	13 1.9×	25	73
Pascal Fontaine France	5	34 1.1×	11 0.6×	40 2.2×	2 0.3×	6 0.9×	21	62
Ciprian Teodorov France	5	14 0.5×	22 1.2×	13 0.7×	8 1.0×	3 0.4×	20	51
Makai Mann United States	5	12 0.4×	5 0.3×	13 0.7×	24 3.0×	7 1.0×	10	51
SV Silvia Nedea United Kingdom	3	10 0.3×	5 0.3×	11 0.6×	5 0.6×	1 0.1×	4	40
Dennis Guck Netherlands	6	19 0.6×	54 2.8×	10 0.6×	3 0.4×	6 0.9×	7	78
Bernd Müller Germany	5	19 0.6×	4 0.2×	8 0.4×	45 5.6×	17 2.4×	22	98
Jingyu Liu China	4	7 0.2×	28 1.5×	15 0.8×	2 0.3×	2 0.3×	7	66
Peter Faymonville Germany	4	15 0.5×	8 0.4×	17 0.9×	1 0.1×		6	39
Vitaly Kurin United Kingdom	6	7 0.2×	3 0.2×	36 2.0×	5 0.6×	4 0.6×	7	59

Countries citing papers authored by Sumanth Dathathri

Since Specialization

Citations

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

Fields of papers citing papers by Sumanth Dathathri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumanth Dathathri

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

8 of 8 papers shown

1.

Dathathri, Sumanth, Krishnamurthy Dvijotham, Robert Stanforth, et al.. (2021). Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. arXiv (Cornell University). 34. 2 indexed citations

2.

Dathathri, Sumanth, Sicun Gao, & Richard M. Murray. (2019). Inverse Abstraction of Neural Networks Using Symbolic Interpolation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3437–3444. 1 indexed citations

3.

Dathathri, Sumanth, Stephan Zheng, Sicun Gao, & Richard M. Murray. (2017). Measuring the Robustness of Neural Networks via Minimal Adversarial Examples. CaltechAUTHORS (California Institute of Technology). 1 indexed citations

4.

Dathathri, Sumanth, Scott C. Livingston, & Richard M. Murray. (2017). Enhancing tolerance to unexpected jumps in GR(1) games. 37–47.

5.

Dathathri, Sumanth, Nikos Aréchiga, Sicun Gao, & Richard M. Murray. (2017). Learning-Based Abstractions for Nonlinear Constraint Solving. 592–599. 2 indexed citations

6.

Dathathri, Sumanth, et al.. (2016). Interfacing TuLiP with the JPL statechart autocoder: Initial progress toward synthesis of flight software from formal specifications. 1–10. 1 indexed citations

7.

Dathathri, Sumanth, et al.. (2016). Control design for hybrid systems with TuLiP: The Temporal Logic Planning toolbox. 1030–1041. 38 indexed citations

8.

Dathathri, Sumanth & C. Balaji. (2014). Heat transfer and optimization studies on layered porous stackings under an imposed pressure drop. International Communications in Heat and Mass Transfer. 60. 32–36. 8 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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