Shashank Srikant

471 total citations
14 papers, 249 citations indexed

About

Shashank Srikant is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Shashank Srikant has authored 14 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Software and 5 papers in Information Systems. Recurrent topics in Shashank Srikant's work include Software Testing and Debugging Techniques (6 papers), Software Engineering Research (5 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). Shashank Srikant is often cited by papers focused on Software Testing and Debugging Techniques (6 papers), Software Engineering Research (5 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). Shashank Srikant collaborates with scholars based in United States and Switzerland. Shashank Srikant's co-authors include Varun Aggarwal, Una-May O’Reilly, Evelina Fedorenko, Marina Umaschi Bers, Anna A. Ivanova, Hope Kean, Greta Tuckute, Erik Hemberg, Kendrick Kay and Martin Schrimpf and has published in prestigious journals such as eLife, Nature Human Behaviour and Journal of Advanced Research in Dynamical and Control Systems.

In The Last Decade

Shashank Srikant

14 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shashank Srikant United States	8	91	72	69	59	53	14	249
Richard Thomas Australia	10	101 1.1×	139 1.9×	34 0.5×	45 0.8×	63 1.2×	31	325
Teresa Busjahn Germany	8	179 2.0×	239 3.3×	65 0.9×	63 1.1×	30 0.6×	13	419
Norman Peitek Germany	9	70 0.8×	187 2.6×	68 1.0×	45 0.8×	103 1.9×	19	308
Rüdi Lutz United Kingdom	9	52 0.6×	113 1.6×	88 1.3×	56 0.9×	38 0.7×	20	284
Rodrigo Duran Finland	11	238 2.6×	125 1.7×	59 0.9×	71 1.2×	7 0.1×	27	316
Tobias Kohn United States	7	212 2.3×	73 1.0×	102 1.5×	38 0.6×	7 0.1×	21	317
Hidetake Uwano Japan	9	69 0.8×	224 3.1×	54 0.8×	81 1.4×	72 1.4×	25	327
Tim Shaffer United States	7	61 0.7×	201 2.8×	51 0.7×	28 0.5×	29 0.5×	14	293
Vijayalakshmi Ramasamy United States	8	43 0.5×	60 0.8×	47 0.7×	10 0.2×	96 1.8×	41	286
Dietmar Rösner Germany	10	82 0.9×	85 1.2×	137 2.0×	40 0.7×	11 0.2×	39	279

Countries citing papers authored by Shashank Srikant

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Srikant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Srikant

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

14 of 14 papers shown

1.

Tuckute, Greta, et al.. (2024). Driving and suppressing the human language network using large language models. Nature Human Behaviour. 8(3). 544–561. 30 indexed citations

2.

Tuckute, Greta, et al.. (2023). Driving and suppressing the human language network using large language models. 1 indexed citations

3.

Wang, M., et al.. (2023). RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. 63–70. 1 indexed citations

4.

Srikant, Shashank, et al.. (2023). ClawSAT: Towards Both Robust and Accurate Code Models. 212–223. 7 indexed citations

5.

Srikant, Shashank, Sijia Liu, Shiyu Chang, et al.. (2021). Generating Adversarial Computer Programs using Optimized Obfuscations. arXiv (Cornell University). 1 indexed citations

6.

Ivanova, Anna A., Shashank Srikant, Hope Kean, et al.. (2020). Comprehension of computer code relies primarily on domain-general executive brain regions. eLife. 9. 59 indexed citations

7.

Al-Dujaili, Abdullah, Shashank Srikant, Erik Hemberg, & Una-May O’Reilly. (2019). On the application of Danskin’s theorem to derivative-free minimax problems. AIP conference proceedings. 2070. 20026–20026. 11 indexed citations

8.

Ponnusamy, Vijayakumar, et al.. (2019). Automatic Robotic Crop Disease Detection and Pesticide Dispenser Using Machine Learning. Journal of Advanced Research in Dynamical and Control Systems. 11(11). 119–125. 2 indexed citations

9.

Srikant, Shashank, et al.. (2018). Exploring the Use of Autoencoders for Botnets Traffic Representation. 5. 57–62. 4 indexed citations

10.

Srikant, Shashank & Varun Aggarwal. (2017). Introducing Data Science to School Kids. 561–566. 36 indexed citations

11.

Aggarwal, Varun, et al.. (2016). AMEO 2015. 1–2. 3 indexed citations

12.

Srikant, Shashank, et al.. (2016). Question Independent Grading using Machine Learning. 263–272. 21 indexed citations

13.

Srikant, Shashank & Varun Aggarwal. (2014). A system to grade computer programming skills using machine learning. 1887–1896. 52 indexed citations

14.

Srikant, Shashank & Varun Aggarwal. (2013). Automatic Grading of Computer Programs: A Machine Learning Approach. 85–92. 21 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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