Krishna Subramanian

410 total citations
26 papers, 243 citations indexed

About

Krishna Subramanian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Krishna Subramanian has authored 26 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Krishna Subramanian's work include Natural Language Processing Techniques (12 papers), Handwritten Text Recognition Techniques (10 papers) and Topic Modeling (8 papers). Krishna Subramanian is often cited by papers focused on Natural Language Processing Techniques (12 papers), Handwritten Text Recognition Techniques (10 papers) and Topic Modeling (8 papers). Krishna Subramanian collaborates with scholars based in United States, Germany and Switzerland. Krishna Subramanian's co-authors include Prem Natarajan, Rohit Prasad, Grant Haab, Nancy J. Warter, Huaigu Cao, Jan Borchers, Shirin Saleem, Xujun Peng, Chat Wacharamanotham and Sarah Theres Völkel and has published in prestigious journals such as International Journal on Document Analysis and Recognition (IJDAR), Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and ACM SIGMICRO newsletter/SIGMICRO newsletter/SIGMICRO, TCMICRO newsletter.

In The Last Decade

Krishna Subramanian

25 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Subramanian United States 9 114 104 58 35 24 26 243
R. Housley 3 25 0.2× 48 0.5× 16 0.3× 94 2.7× 47 2.0× 3 168
Lukas Gianinazzi Switzerland 6 51 0.4× 139 1.3× 11 0.2× 30 0.9× 28 1.2× 14 225
Håkon Wium Lie Switzerland 6 31 0.3× 42 0.4× 18 0.3× 207 5.9× 77 3.2× 8 303
Songpon Teerakanok Japan 7 100 0.9× 72 0.7× 12 0.2× 75 2.1× 108 4.5× 19 252
Mukarram Tariq United States 9 12 0.1× 108 1.0× 31 0.5× 314 9.0× 62 2.6× 13 358
Petr Švenda Czechia 8 42 0.4× 104 1.0× 22 0.4× 55 1.6× 50 2.1× 43 181
Sahar Abdelnabi Germany 4 94 0.8× 148 1.4× 5 0.1× 27 0.8× 55 2.3× 11 289
J. Duane Northcutt United States 7 32 0.3× 13 0.1× 165 2.8× 121 3.5× 29 1.2× 11 205
Henrique Domingos Portugal 7 143 1.3× 89 0.9× 7 0.1× 51 1.5× 55 2.3× 23 238
Eric Pouyoul United States 12 39 0.3× 50 0.5× 29 0.5× 390 11.1× 109 4.5× 27 437

Countries citing papers authored by Krishna Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Subramanian

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

All Works

20 of 20 papers shown
1.
Subramanian, Krishna, et al.. (2021). From Detectables to Inspectables: Understanding Qualitative Analysis of Audiovisual Data. 1–10. 3 indexed citations
2.
Subramanian, Krishna, Nur Al-huda Hamdan, & Jan Borchers. (2020). Casual Notebooks and Rigid Scripts: Understanding Data Science Programming. 1–5. 3 indexed citations
3.
Subramanian, Krishna, et al.. (2020). TRACTUS: Understanding and Supporting Source Code Experimentation in Hypothesis-Driven Data Science. 1–12. 6 indexed citations
4.
Subramanian, Krishna, et al.. (2018). StatWire. 1–6. 3 indexed citations
5.
Subramanian, Krishna, et al.. (2017). Opinion Mining Using Twitter Feeds for Political Analysis. 25(1). 116–123. 15 indexed citations
6.
Wacharamanotham, Chat, Krishna Subramanian, Sarah Theres Völkel, & Jan Borchers. (2015). Statsplorer. 2693–2702. 20 indexed citations
7.
Cao, Huaigu, Prem Natarajan, Xujun Peng, et al.. (2014). Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System. 3 indexed citations
8.
Subramanian, Krishna. (2014). VisiStat. 987–992. 1 indexed citations
9.
Devlin, Jacob, et al.. (2012). Statistical Machine Translation as a Language Model for Handwriting Recognition. 291–296. 11 indexed citations
10.
Natarajan, Pradeep, et al.. (2011). Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. 1. 329–333. 2 indexed citations
11.
Peng, Xujun, Huaigu Cao, Krishna Subramanian, Rohit Prasad, & Prem Natarajan. (2011). Automated image quality assessment for camera-captured OCR. 22 indexed citations
12.
Subramanian, Krishna, Rohit Prasad, & Prem Natarajan. (2011). Robust named entity detection from optical character recognition output. International Journal on Document Analysis and Recognition (IJDAR). 14(2). 189–200. 4 indexed citations
13.
Prasad, Rohit, et al.. (2010). The BBN document analysis service. 447–454. 1 indexed citations
14.
Saleem, Shirin, et al.. (2009). Improvements in BBN's HMM-Based Offline Arabic Handwriting Recognition System. 4. 773–777. 28 indexed citations
15.
Subramanian, Krishna, Rohit Prasad, & Prem Natarajan. (2009). Robust named entity detection using an Arabic offline handwriting recognition system. 63–68. 1 indexed citations
16.
Natarajan, Prem, Krishna Subramanian, Anurag Bhardwaj, & Rohit Prasad. (2009). Stochastic Segment Modeling for Offline Handwriting Recognition. 971–975. 10 indexed citations
17.
Subramanian, Krishna, et al.. (2008). Robust named entity detection in videotext using character lattices. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1241–1244. 4 indexed citations
18.
Stallard, David, Chia-Lin Kao, Prem Natarajan, et al.. (2008). Recent improvements and performance analysis of ASR and MT in a speech-to-speech translation system. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 4973–4976. 8 indexed citations
19.
Natarajan, Prem, et al.. (2007). Finding structure in noisy text: topic classification and unsupervised clustering. International Journal on Document Analysis and Recognition (IJDAR). 10(3-4). 187–198. 5 indexed citations
20.
Warter, Nancy J., et al.. (1992). Enhanced modulo scheduling for loops with conditional branches. ACM SIGMICRO newsletter/SIGMICRO newsletter/SIGMICRO, TCMICRO newsletter. 23(1-2). 170–179. 62 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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