Achal Dave

642 total citations
13 papers, 109 citations indexed

About

Achal Dave is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Achal Dave has authored 13 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Achal Dave's work include Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Surveillance and Tracking Methods (2 papers). Achal Dave is often cited by papers focused on Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Surveillance and Tracking Methods (2 papers). Achal Dave collaborates with scholars based in United States, Germany and India. Achal Dave's co-authors include Bastian Leibe, Jonathon Luiten, Deva Ramanan, Yang Liu, Paul Voigtlaender, Laura Leal-Taixé, Björn Hartmann, Pavel Tokmakov, Aljoša Ošep and Yang Li and has published in prestigious journals such as npj Digital Medicine, Wireless Personal Communications and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Achal Dave

13 papers receiving 101 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Achal Dave United States	6	68	35	13	8	8	13	109
Alexandros Stergiou Netherlands	7	123 1.8×	75 2.1×	16 1.2×	9 1.1×	4 0.5×	14	171
Jinyu Yang China	6	109 1.6×	25 0.7×	6 0.5×	12 1.5×	6 0.8×	14	151
Stefano Pellegrini Italy	6	99 1.5×	23 0.7×	16 1.2×	9 1.1×	5 0.6×	9	132
Laurence Edwards United States	6	36 0.5×	18 0.5×	23 1.8×	4 0.5×	4 0.5×	9	122
Hamideh Kerdegari Malaysia	6	89 1.3×	23 0.7×	10 0.8×	12 1.5×	13 1.6×	9	130
Jae-Ho Lee South Korea	7	129 1.9×	19 0.5×	7 0.5×	6 0.8×	7 0.9×	42	172
Saikat Roy India	5	89 1.3×	74 2.1×	15 1.2×	6 0.8×	8 1.0×	9	152
Ming-Yu Liu United States	3	106 1.6×	46 1.3×	5 0.4×	6 0.8×	4 0.5×	4	152

Countries citing papers authored by Achal Dave

Since Specialization

Citations

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

Fields of papers citing papers by Achal Dave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achal Dave

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

13 of 13 papers shown

1.

Chan, Justin, Mitchell Wortsman, Achal Dave, et al.. (2024). Detecting clinical medication errors with AI enabled wearable cameras. npj Digital Medicine. 7(1). 287–287. 3 indexed citations

2.

Kowal, Matthew, Achal Dave, Rareş Ambruş, et al.. (2024). Understanding Video Transformers via Universal Concept Discovery. 10946–10956. 1 indexed citations

3.

Liu, Ruoshi, Dídac Surís, Dian Chen, et al.. (2024). pix2gestalt: Amodal Segmentation by Synthesizing Wholes. 3931–3940. 10 indexed citations

4.

Harley, Adam W., et al.. (2024). Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. 4916–4923. 6 indexed citations

5.

Luiten, Jonathon, et al.. (2023). BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1674–1683. 22 indexed citations

6.

Dave, Achal, et al.. (2023). Visual Item Selection With Voice Assistants. 500–507. 1 indexed citations

7.

Dave, Achal, et al.. (2023). Shape of You: Precise 3D shape estimations for diverse body types. 3520–3524. 3 indexed citations

8.

Vasileva, Mariya I., et al.. (2023). HandsOff: Labeled Dataset Generation With No Additional Human Annotations. 7991–8000. 2 indexed citations

9.

Liu, Yang, Jonathon Luiten, Achal Dave, et al.. (2022). Opening up Open World Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19023–19033. 27 indexed citations

10.

Dave, Achal, et al.. (2021). Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. Wireless Personal Communications. 119(3). 2695–2706. 3 indexed citations

11.

Taori, Rohan, Achal Dave, Vaishaal Shankar, et al.. (2020). Measuring Robustness to Natural Distribution Shifts in Image Classification. Neural Information Processing Systems. 33. 18583–18599. 11 indexed citations

12.

Taori, Rohan, Achal Dave, Vaishaal Shankar, et al.. (2019). When Robustness Doesn’t Promote Robustness: Synthetic vs. Natural Distribution Shifts on ImageNet. 2 indexed citations

13.

Zhang, Ben, et al.. (2014). HOBS. 17–25. 18 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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