Narayanan C. Krishnan

3.6k total citations · 3 hit papers
58 papers, 2.5k citations indexed

About

Narayanan C. Krishnan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Narayanan C. Krishnan has authored 58 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Narayanan C. Krishnan's work include Context-Aware Activity Recognition Systems (15 papers), Domain Adaptation and Few-Shot Learning (6 papers) and IoT and Edge/Fog Computing (5 papers). Narayanan C. Krishnan is often cited by papers focused on Context-Aware Activity Recognition Systems (15 papers), Domain Adaptation and Few-Shot Learning (6 papers) and IoT and Edge/Fog Computing (5 papers). Narayanan C. Krishnan collaborates with scholars based in India, United States and United Kingdom. Narayanan C. Krishnan's co-authors include Diane J. Cook, Brian L. Thomas, Diane J. Cook, Aaron S. Crandall, Kyle Feuz, Barnan Das, Sethuraman Panchanathan, Parisa Rashidi, Stefan Dernbach and Gaurav Mittal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Computer.

In The Last Decade

Narayanan C. Krishnan

54 papers receiving 2.4k 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.

CASAS: A Smart Home in a Box

2012 485 citations Diane J. Cook, Aaron S. Crandall et al. Computer profile →
Activity recognition on streaming sensor data

2012 344 citations Narayanan C. Krishnan, Diane J. Cook Pervasive and Mobile Computing profile →
Transfer learning for activity recognition: a survey

2013 335 citations Diane J. Cook, Kyle Feuz et al. Knowledge and Information Systems profile →

Peers

Countries citing papers authored by Narayanan C. Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Narayanan C. Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narayanan C. Krishnan. 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 Narayanan C. Krishnan. The network helps show where Narayanan C. Krishnan may publish in the future.

Co-authorship network of co-authors of Narayanan C. Krishnan

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

20 of 20 papers shown

#	Work	Indexed citations
1	Scene text recognition: an Indic perspective 2024 ·International Journal on Document Analysis and Recognition (IJDAR) ·(unknown), Sukalpa Chanda, David Doermann, Narayanan C. Krishnan	0
2	EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models 2023 ·Ecography ·(unknown), (unknown), (unknown), Narayanan C. Krishnan, Partha Sharathi Dutta, Christopher F. Clements	7
3	Designing sulfonated polyimide-based fuel cell polymer electrolyte membranes using machine learning approaches 2023 ·Computational Materials Science ·(unknown), Narinder Singh, Narayanan C. Krishnan, Dhiraj K. Mahajan	8
4	Leveraging Task Variability in Meta-learning 2023 ·SN Computer Science ·(unknown), (unknown), (unknown), Narayanan C. Krishnan	0
5	Explainable Image Classification: The Journey So Far and the Road Ahead 2023 ·SHILAP Revista de lepidopterología ·(unknown), Narayanan C. Krishnan	9
6	Understanding calibration of deep neural networks for medical image classification 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), (unknown), Narayanan C. Krishnan, Deepti R. Bathula	10
7	Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks 2022 ·2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·(unknown), Narayanan C. Krishnan, Deepti R. Bathula	7
8	Can google trends search inform us about the population response and public health impact of abrupt change in alcohol policy? A case study from India during the covid-19 pandemic 2020 ·International Journal of Drug Policy ·Abhishek Ghosh, (unknown), Narayanan C. Krishnan, (unknown), Aniruddha Basu	14
9	Supervised heterogeneous feature transfer via random forests 2018 ·Artificial Intelligence ·(unknown), Narayanan C. Krishnan	14
10	Supervised heterogeneous domain adaptation via random forests 2016 ·International Joint Conference on Artificial Intelligence ·(unknown), Narayanan C. Krishnan, (unknown)	18
11	Multi-label Learning for Activity Recognition 2015 ·Rahul Kumar, (unknown), (unknown), Narayanan C. Krishnan	9
12	Mining the home environment 2014 ·Journal of Intelligent Information Systems ·Diane J. Cook, Narayanan C. Krishnan	32
13	RACOG and wRACOG: Two Probabilistic Oversampling Techniques 2014 ·IEEE Transactions on Knowledge and Data Engineering ·Barnan Das, Narayanan C. Krishnan, Diane J. Cook	99
14	Transfer learning for activity recognition: a survey breakdown → 2013 ·Knowledge and Information Systems ·Diane J. Cook, Kyle Feuz, Narayanan C. Krishnan	335
15	Reports on the 2012 AAAI Fall Symposium Series 2013 ·AI Magazine ·Rezarta Islamaj, Yolanda Gil, Haym Hirsh, Narayanan C. Krishnan, Michael Lewis, Çetin Meriçli, Parisa Rashidi, Victor Raskin, Samarth Swarup, Wei Sun, Julia M. Taylor, Lana Yeganova	2
16	Activity recognition on streaming sensor data breakdown → 2012 ·Pervasive and Mobile Computing ·Narayanan C. Krishnan, Diane J. Cook	344
17	Activity Discovery and Activity Recognition: A New Partnership 2012 ·IEEE Transactions on Cybernetics ·Diane J. Cook, Narayanan C. Krishnan, Parisa Rashidi	158
18	CASAS: A Smart Home in a Box breakdown → 2012 ·Computer ·Diane J. Cook, Aaron S. Crandall, Brian L. Thomas, Narayanan C. Krishnan	485
19	Defining the complexity of an activity 2011 ·National Conference on Artificial Intelligence ·(unknown), Narayanan C. Krishnan, Diane J. Cook	3
20	Hierarchical domain adaptation for SEMG signal classification across multiple subjects 2011 ·PubMed ·Rita Chattopadhyay, Narayanan C. Krishnan, Sethuraman Panchanathan	1

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.

Explore authors with similar magnitude of impact