Vivek Seshadri

5.3k total citations · 4 hit papers
53 papers, 3.2k citations indexed

About

Vivek Seshadri is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Vivek Seshadri has authored 53 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Hardware and Architecture, 27 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Vivek Seshadri's work include Parallel Computing and Optimization Techniques (31 papers), Advanced Data Storage Technologies (21 papers) and Advanced Memory and Neural Computing (7 papers). Vivek Seshadri is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Advanced Data Storage Technologies (21 papers) and Advanced Memory and Neural Computing (7 papers). Vivek Seshadri collaborates with scholars based in United States, India and United Kingdom. Vivek Seshadri's co-authors include Onur Mutlu, Phillip B. Gibbons, Donghyuk Lee, Todd C. Mowry, Yoongu Kim, Michael A. Kozuch, Gennady Pekhimenko, Lavanya Subramanian, Jamie Liu and Amirali Boroumand and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Applied Intelligence and Language Resources and Evaluation.

In The Last Decade

Vivek Seshadri

50 papers receiving 3.1k 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.

PipeDream

2019 428 citations Deepak Narayanan, Aaron Harlap et al. profile →
Ambit

2017 294 citations Vivek Seshadri, Donghyuk Lee et al. profile →
Base-delta-immediate compression

2012 268 citations Gennady Pekhimenko, Vivek Seshadri et al. profile →
RowClone

2013 234 citations Vivek Seshadri, Yoongu Kim et al. profile →

Peers

Countries citing papers authored by Vivek Seshadri

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Seshadri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Seshadri

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali	3
2	PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data 2024 ·(unknown), (unknown), (unknown), Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram	3
3	MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages 2021 ·arXiv (Cornell University) ·(unknown), (unknown), (unknown), Ankita Singh, Srinivasa Raghavan, (unknown), (unknown), Saurabh Vyas, (unknown), (unknown), (unknown), Prasanta Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, (unknown), (unknown), Karthik Sankaranarayanan	33
4	Language Translation as a Socio-Technical System:Case-Studies of Mixed-Initiative Interactions 2021 ·Sebastin Santy, Kalika Bali, Monojit Choudhury, Sandipan Dandapat, Tanuja Ganu, (unknown), (unknown), Vivek Seshadri	6
5	Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers 2020 ·Language Resources and Evaluation ·(unknown), (unknown), (unknown), Kalika Bali, (unknown), Monojit Choudhury, (unknown), Preethi Jyothi, Sunayana Sitaram, Vivek Seshadri	10
6	Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices. 2019 ·arXiv (Cornell University) ·Lois Orosa, Yaohua Wang, (unknown), Mohammad Sadrosadati, Kaveh Razavi, Juan Gómez-Luna, Hasan Hassan, (unknown), Arash Tavakkol, Minesh Patel, Jeremie S. Kim, Vivek Seshadri, Uksong Kang, Saugata Ghose, Rodolfo Azevedo, Onur Mutlu	0
7	PipeDream breakdown → 2019 ·Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia	428
8	Compiling KB-sized machine learning models to tiny IoT devices 2019 ·(unknown), (unknown), Vivek Seshadri, Rahul Sharma	54
9	RowClone: Fast and Efficient In-DRAM Copy and Initialization of Bulk Data 2018 ·Figshare ·Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch	2
10	GesturePod: Gesture-based Interaction Cane for People with Visual Impairments 2018 ·(unknown), (unknown), (unknown), (unknown), Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain	4
11	ChargeCache: Reducing DRAM latency by exploiting row access locality 2016 ·Edinburgh Research Explorer ·Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oğuz Ergin, Onur Mutlu	91
12	Adaptive-latency DRAM: Optimizing DRAM timing for the common-case 2015 ·Figshare ·Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Khan, Vivek Seshadri, Kevin K. Chang, Onur Mutlu	145
13	Fast Bulk Bitwise AND and OR in DRAM 2015 ·IEEE Computer Architecture Letters ·Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry	137
14	Page overlays 2015 ·Vivek Seshadri, Gennady Pekhimenko, Olatunji Ruwase, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry, Trishul Chilimbi	35
15	The Dirty-Block Index 2014 ·Vivek Seshadri, Abhishek Bhowmick, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry	20
16	RowClone breakdown → 2013 ·Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry	234
17	The evicted-address filter 2012 ·Vivek Seshadri, Onur Mutlu, Michael A. Kozuch, Todd C. Mowry	83
18	Data mining and forecasting in large-scale telecommunication networks 1996 ·IEEE Expert ·(unknown), Vivek Seshadri, (unknown)	38
19	AI in Telecommunications 1996 ·IEEE Expert ·Vivek Seshadri	2
20	Feature extraction for massive data mining 1995 ·Knowledge Discovery and Data Mining ·Vivek Seshadri, Sholom M. Weiss, (unknown)	5

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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