Prashant Goteti

402 total citations
14 papers, 283 citations indexed

About

Prashant Goteti is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Software. According to data from OpenAlex, Prashant Goteti has authored 14 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 11 papers in Electrical and Electronic Engineering and 2 papers in Software. Recurrent topics in Prashant Goteti's work include VLSI and Analog Circuit Testing (11 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers) and VLSI and FPGA Design Techniques (5 papers). Prashant Goteti is often cited by papers focused on VLSI and Analog Circuit Testing (11 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers) and VLSI and FPGA Design Techniques (5 papers). Prashant Goteti collaborates with scholars based in United States, United Kingdom and Switzerland. Prashant Goteti's co-authors include M. Soma, A. Rueda, K. Arabi, Ian M. Bell, Bożena Kamińska, J.L. Huertas, Fei Su, Mustafa Berke Yelten, Bin Xue and Bin Xue and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Electronic Testing and International Conference on Computer Aided Design.

In The Last Decade

Prashant Goteti

13 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Goteti United States 8 251 248 55 29 16 14 283
T.W. Williams United States 7 294 1.2× 260 1.0× 25 0.5× 12 0.4× 14 0.9× 15 336
Kazumi Hatayama Japan 11 290 1.2× 261 1.1× 16 0.3× 53 1.8× 8 0.5× 52 332
Alfred L. Crouch United States 12 351 1.4× 355 1.4× 61 1.1× 19 0.7× 12 0.8× 34 385
D. Appello Italy 12 340 1.4× 344 1.4× 52 0.9× 24 0.8× 14 0.9× 56 403
W. Huott United States 11 338 1.3× 242 1.0× 20 0.4× 19 0.7× 10 0.6× 23 357
S. Sermet Akbay United States 7 273 1.1× 246 1.0× 29 0.5× 37 1.3× 11 0.7× 9 291
Sreejit Chakravarty United States 13 507 2.0× 485 2.0× 55 1.0× 9 0.3× 10 0.6× 57 538
B. Kruseman Netherlands 14 576 2.3× 516 2.1× 31 0.6× 10 0.3× 5 0.3× 35 600
C. Hora Netherlands 13 482 1.9× 447 1.8× 36 0.7× 6 0.2× 6 0.4× 27 507
S. Eichenberger Netherlands 12 543 2.2× 509 2.1× 22 0.4× 7 0.2× 6 0.4× 25 567

Countries citing papers authored by Prashant Goteti

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Goteti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Goteti

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

All Works

14 of 14 papers shown
1.
Su, Fei, Prashant Goteti, & Min Zhang. (2020). Unleashing the Power of Anomaly Data for Soft Failure Predictive Analytics. 1–10. 2 indexed citations
2.
Su, Fei, Prashant Goteti, & Min Zhang. (2019). On Freedom from Interference in Mixed-Criticality Systems: A Causal Learning Approach. 1–10. 3 indexed citations
3.
Su, Fei, et al.. (2019). A Distributed Error and Anomaly Communication Architecture for Analog and Mixed-Signal Systems. Journal of Electronic Testing. 35(3). 317–334. 4 indexed citations
4.
Su, Fei & Prashant Goteti. (2018). Improving Analog Functional Safety Using Data-Driven Anomaly Detection. 1–10. 11 indexed citations
5.
6.
Goteti, Prashant, et al.. (2016). Fault simulation for analog test coverage. 1–7. 7 indexed citations
7.
Yelten, Mustafa Berke, et al.. (2013). Scalable and efficient analog parametric fault identification. International Conference on Computer Aided Design. 387–392. 14 indexed citations
8.
Goteti, Prashant, et al.. (2013). Framework for analog test coverage. 468–475. 9 indexed citations
9.
Yelten, Mustafa Berke, et al.. (2013). Scalable and efficient analog parametric fault identification. 387–392. 4 indexed citations
10.
Goteti, Prashant, et al.. (2002). DFT for embedded charge-pump PLL systems incorporating IEEE 1149.1. 210–213. 12 indexed citations
11.
Goteti, Prashant, et al.. (2002). Hierarchy based statistical fault simulation of mixed-signal ICs. 521–527. 23 indexed citations
12.
Kamińska, Bożena, K. Arabi, Ian M. Bell, et al.. (2002). Analog and mixed-signal benchmark circuits-first release. 183–190. 159 indexed citations
13.
Soma, M., et al.. (1999). Test set selection for structural faults in analog IC's. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 18(7). 1026–1039. 20 indexed citations
14.
Kamińska, Bożena, K. Arabi, Ian M. Bell, et al.. (1997). Analog and Mixed-Signal Be:nchmark Circuits - First Release. 15 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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