Ashish Arora

760 total citations
12 papers, 83 citations indexed

About

Ashish Arora is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ashish Arora has authored 12 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Ashish Arora's work include Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers) and Handwritten Text Recognition Techniques (2 papers). Ashish Arora is often cited by papers focused on Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers) and Handwritten Text Recognition Techniques (2 papers). Ashish Arora collaborates with scholars based in United States, India and Iran. Ashish Arora's co-authors include Aditya Nigam, Amit Sethi, Neeraj Kumar, Abhay Kumar, Ruchika Verma, Peter H. Gann, Vinod Sharma, Daniel Povey, L.C. Gupta and Sanjeev Khudanpur and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Image and Vision Computing.

In The Last Decade

Ashish Arora

11 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashish Arora United States	6	41	33	20	19	16	12	83
Min Joon Seo South Korea	6	84 2.0×	52 1.6×	8 0.4×	5 0.3×	9 0.6×	10	195
Thierry Brouard France	6	38 0.9×	53 1.6×	7 0.3×	12 0.6×	4 0.3×	15	81
Astri Handayani Indonesia	6	24 0.6×	33 1.0×	66 3.3×	4 0.2×	5 0.3×	32	127
Håvard Espeland Norway	7	35 0.9×	58 1.8×	32 1.6×	30 1.6×	3 0.2×	16	133
Youssef Skandarani Canada	2	50 1.2×	45 1.4×	52 2.6×	5 0.3×	3 0.2×	2	136
Ramesh Sridharan United States	6	11 0.3×	20 0.6×	19 0.9×	2 0.1×	30 1.9×	10	115
Alexander Kalinovsky Belarus	4	22 0.5×	16 0.5×	20 1.0×	5 0.3×	2 0.1×	5	58
Yonghui Wu China	6	32 0.8×	56 1.7×	15 0.8×	6 0.3×	3 0.2×	27	129
Mohammed Adnan Iraq	2	146 3.6×	24 0.7×	56 2.8×	4 0.2×	6 0.4×	6	195

Countries citing papers authored by Ashish Arora

Since Specialization

Citations

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

Fields of papers citing papers by Ashish Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Arora

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

All Works

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12 of 12 papers shown

1.

Arora, Ashish, et al.. (2022). Managing arrhythmias - A guide to Physicians. SHILAP Revista de lepidopterología. 10(1). 30–38. 2 indexed citations

2.

Mowla, Ashkan, et al.. (2021). Thrombolysis for stroke in elderly in the late window period. Acta Neurologica Scandinavica. 144(6). 663–668. 5 indexed citations

3.

Wiesner, Matthew, Mousmita Sarma, Ashish Arora, et al.. (2021). Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition. 2906–2910. 3 indexed citations

4.

Huang, Ruizhe, Ke Li, Ashish Arora, Daniel Povey, & Sanjeev Khudanpur. (2020). Efficient MDI Adaptation for n-Gram Language Models. 4916–4920. 2 indexed citations

5.

Arora, Ashish, et al.. (2020). Comprehensive survey on cancelable biometrics with novel case study on finger dorsal template protection. 4(1). 37–52. 3 indexed citations

6.

Arora, Ashish, et al.. (2020). Cancelable Iris template generation by aggregating patch level ordinal relations with its holistically extended performance and security analysis. Image and Vision Computing. 104. 104017–104017. 12 indexed citations

7.

Chang, Chun‐Chieh, et al.. (2019). Optical Character Recognition with Chinese and Korean Character Decomposition. 134–139. 5 indexed citations

8.

Arora, Ashish, Leibny Paola Garcia, Shinji Watanabe, et al.. (2019). Using ASR Methods for OCR. 663–668. 11 indexed citations

9.

Arora, Ashish, et al.. (2017). Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries.. arXiv (Cornell University). 2 indexed citations

10.

Kumar, Neeraj, Ruchika Verma, Ashish Arora, et al.. (2017). Convolutional neural networks for prostate cancer recurrence prediction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10140. 101400H–101400H. 29 indexed citations

11.

Sharma, Vinod, et al.. (2012). Use of tenecteplase for left-sided prosthetic valve thrombosis.. PubMed. 60. 55–8. 9 indexed citations

12.

Mukhopadhyay, A., Kushal Patel, Mammen Chandy, et al.. (2005). Analysis of safety profile of thalidomide in multiple myeloma: A multicenter Indian experience. Journal of Clinical Oncology. 23(16_suppl). 6709–6709.

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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