Shruti Palaskar

619 total citations
10 papers, 164 citations indexed

About

Shruti Palaskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shruti Palaskar has authored 10 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Shruti Palaskar's work include Natural Language Processing Techniques (7 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (4 papers). Shruti Palaskar is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (4 papers). Shruti Palaskar collaborates with scholars based in United States, Spain and Germany. Shruti Palaskar's co-authors include Florian Metze, Xavier Giró-i-Nieto, Amanda Duarte, Jordi Torres, Deepti Ghadiyaram, Alan W. Black, Roshan Sharma, Ruslan Salakhutdinov, Laurent Besacier and Philip Arthur and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and Computer Speech & Language.

In The Last Decade

Shruti Palaskar

9 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shruti Palaskar United States	5	96	77	71	58	17	10	164
Jakub Kanis Czechia	7	106 1.1×	74 1.0×	55 0.8×	29 0.5×	19 1.1×	18	145
Shengeng Tang China	7	100 1.0×	122 1.6×	71 1.0×	36 0.6×	12 0.7×	21	203
Ben Saunders United Kingdom	6	97 1.0×	66 0.9×	67 0.9×	14 0.2×	20 1.2×	7	117
Amit Moryossef Israel	8	105 1.1×	90 1.2×	76 1.1×	100 1.7×	13 0.8×	14	197
Deep Kothadiya India	7	159 1.7×	75 1.0×	104 1.5×	29 0.5×	23 1.4×	13	223
Malihe Alikhani United States	8	48 0.5×	61 0.8×	40 0.6×	126 2.2×	7 0.4×	45	199
Christoph Schmidt Germany	9	205 2.1×	132 1.7×	152 2.1×	85 1.5×	25 1.5×	15	277
Weike Jin China	11	61 0.6×	206 2.7×	49 0.7×	114 2.0×	4 0.2×	14	259
Julie Hochgesang United States	7	114 1.2×	54 0.7×	134 1.9×	20 0.3×	29 1.7×	18	180
Annelies Braffort France	7	81 0.8×	27 0.4×	58 0.8×	19 0.3×	20 1.2×	21	106

Countries citing papers authored by Shruti Palaskar

Since Specialization

Citations

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

Fields of papers citing papers by Shruti Palaskar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Palaskar

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

10 of 10 papers shown

1.

Palaskar, Shruti, et al.. (2024). Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection. 4778–4782. 1 indexed citations

2.

Palaskar, Shruti, et al.. (2022). On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. 2644–2657. 2 indexed citations

3.

Sharma, Roshan, Shruti Palaskar, Alan W. Black, & Florian Metze. (2022). End-to-End Speech Summarization Using Restricted Self-Attention. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8072–8076. 15 indexed citations

4.

Duarte, Amanda, Shruti Palaskar, Deepti Ghadiyaram, et al.. (2021). How2Sign: A large-scale multimodal dataset for continuous American sign language. QRU Quaderns de Recerca en Urbanisme. 105 indexed citations

5.

Palaskar, Shruti, Ruslan Salakhutdinov, Alan W. Black, & Florian Metze. (2021). Multimodal Speech Summarization Through Semantic Concept Learning. 791–795. 7 indexed citations

6.

Specia, Lucia, Loïc Barrault, Ozan Çağlayan, et al.. (2020). Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 14(3). 577–591. 2 indexed citations

7.

Scharenborg, Odette, Laurent Besacier, Alan W. Black, et al.. (2020). Speech Technology for Unwritten Languages. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 964–975. 11 indexed citations

8.

Palaskar, Shruti, Ramon Sanabria, & Florian Metze. (2020). Transfer learning for multimodal dialog. Computer Speech & Language. 64. 101093–101093. 4 indexed citations

9.

Palaskar, Shruti, et al.. (2020). Towards Understanding ASR Error Correction for Medical Conversations. 7–11. 13 indexed citations

10.

Palaskar, Shruti & Florian Metze. (2018). Acoustic-to-Word Recognition with Sequence-to-Sequence Models. 397–404. 4 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.

Explore authors with similar magnitude of impact