Ayushi Dalmia

405 total citations
9 papers, 257 citations indexed

About

Ayushi Dalmia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ayushi Dalmia has authored 9 papers receiving a total of 257 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 Statistical and Nonlinear Physics. Recurrent topics in Ayushi Dalmia's work include Complex Network Analysis Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Image and Video Quality Assessment (2 papers). Ayushi Dalmia is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Image and Video Quality Assessment (2 papers). Ayushi Dalmia collaborates with scholars based in India, United Kingdom and United States. Ayushi Dalmia's co-authors include Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee, Manish Gupta, Vasudeva Varma, Abdul Quamar, Vasilis Efthymiou, Chuan Lei, Fatma Özcan and Karthik Sankaranarayanan and has published in prestigious journals such as ACM Computing Surveys and Proceedings of the VLDB Endowment.

In The Last Decade

Ayushi Dalmia

6 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayushi Dalmia India	4	166	141	46	45	28	9	257
Timothy La Fond United States	5	160 1.0×	124 0.9×	38 0.8×	55 1.2×	19 0.7×	7	244
Matthew J. Rattigan United States	8	162 1.0×	139 1.0×	81 1.8×	49 1.1×	34 1.2×	15	262
Liutong Xu China	7	130 0.8×	118 0.8×	63 1.4×	81 1.8×	44 1.6×	30	263
Soheila Molaei Iran	10	80 0.5×	126 0.9×	29 0.6×	49 1.1×	34 1.2×	19	236
Ralitsa Angelova Germany	6	161 1.0×	176 1.2×	36 0.8×	73 1.6×	27 1.0×	8	262
Folke Mitzlaff Germany	8	146 0.9×	94 0.7×	72 1.6×	116 2.6×	37 1.3×	12	259
Disha Makhija United States	2	126 0.8×	162 1.1×	42 0.9×	90 2.0×	25 0.9×	2	251
Shitian Shen United States	7	115 0.7×	222 1.6×	110 2.4×	26 0.6×	21 0.8×	10	304
Sanasam Ranbir Singh India	10	84 0.5×	223 1.6×	36 0.8×	66 1.5×	34 1.2×	61	326
Mohit Kumar India	3	112 0.7×	138 1.0×	36 0.8×	80 1.8×	28 1.0×	5	228

Countries citing papers authored by Ayushi Dalmia

Since Specialization

Citations

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

Fields of papers citing papers by Ayushi Dalmia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayushi Dalmia

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

All Works

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9 of 9 papers shown

1.

Shangguan, Yuan, Haichuan Yang, Danni Li, et al.. (2024). TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. 10216–10220.

2.

Lei, Chuan, Abdul Quamar, Fatma Özcan, et al.. (2020). ATHENA++. Proceedings of the VLDB Endowment. 13(12). 2747–2759. 38 indexed citations

3.

Dalmia, Ayushi, et al.. (2018). Towards Interpretation of Node Embeddings. 945–952. 14 indexed citations

4.

Chakraborty, Tanmoy, Ayushi Dalmia, Animesh Mukherjee, & Niloy Ganguly. (2017). Metrics for Community Analysis. ACM Computing Surveys. 50(4). 1–37. 188 indexed citations

5.

Dalmia, Ayushi, Manish Gupta, & Vasudeva Varma. (2016). Query-Based Evolutionary Graph Cuboid Outlier Detection. 85–92. 2 indexed citations

6.

Dalmia, Ayushi, Manish Gupta, & Vasudeva Varma. (2015). IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!. 520–526. 13 indexed citations

7.

Dalmia, Ayushi, Manish Gupta, & Vasudeva Varma. (2015). Query-based Graph Cuboid Outlier Detection. 705–712. 2 indexed citations

8.

Dalmia, Ayushi, et al.. (2014). Scalable Hierarchical Recommendations Using Spatial Autocorrelation. 1–8.

9.

Dalmia, Ayushi, et al.. (2014). Scalable Hierarchical Recommendations Using Spatial Autocorrelation. 1–2.

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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