Alexander Clegg

674 total citations
11 papers, 266 citations indexed

About

Alexander Clegg is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Alexander Clegg has authored 11 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Alexander Clegg's work include Human Motion and Animation (6 papers), Human Pose and Action Recognition (5 papers) and Robot Manipulation and Learning (4 papers). Alexander Clegg is often cited by papers focused on Human Motion and Animation (6 papers), Human Pose and Action Recognition (5 papers) and Robot Manipulation and Learning (4 papers). Alexander Clegg collaborates with scholars based in United States, Canada and South Korea. Alexander Clegg's co-authors include C. Karen Liu, Greg Turk, Jie Tan, Wenhao Yu, Joseph D. Ortiz, David Novotný, Mustafa Mukadam, Michael Zollhoefer, Jing Dong and Zackory Erickson and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and IEEE Robotics and Automation Letters.

In The Last Decade

Alexander Clegg

11 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Clegg United States	9	137	135	66	63	38	11	266
Thomas Mörwald Austria	9	93 0.7×	192 1.4×	119 1.8×	41 0.7×	44 1.2×	14	288
Chavdar Papazov Germany	6	98 0.7×	186 1.4×	114 1.7×	43 0.7×	33 0.9×	8	297
Andreas Doumanoglou United Kingdom	5	228 1.7×	250 1.9×	191 2.9×	71 1.1×	30 0.8×	5	403
Toshio Ueshiba Japan	11	148 1.1×	169 1.3×	85 1.3×	58 0.9×	14 0.4×	31	359
Jacob Varley United States	5	216 1.6×	114 0.8×	42 0.6×	74 1.2×	59 1.6×	7	340
Yonggen Ling China	10	53 0.4×	308 2.3×	127 1.9×	36 0.6×	16 0.4×	30	372
Soshi Shimada Germany	7	130 0.9×	261 1.9×	27 0.4×	63 1.0×	17 0.4×	14	334
Bokui Shen United States	5	48 0.4×	121 0.9×	44 0.7×	17 0.3×	36 0.9×	12	170
Marco Andreetto Italy	10	27 0.2×	177 1.3×	71 1.1×	29 0.5×	23 0.6×	25	275
Haotong Lin China	7	77 0.6×	229 1.7×	107 1.6×	78 1.2×	9 0.2×	15	337

Countries citing papers authored by Alexander Clegg

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Clegg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Clegg

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

11 of 11 papers shown

1.

Jiang, Hanxiao, Dhruv Batra, Alexander Clegg, et al.. (2024). Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. 16384–16393. 13 indexed citations

2.

Yokoyama, Naoki, Alexander Clegg, Eric Undersander, et al.. (2023). ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. IEEE Robotics and Automation Letters. 9(1). 779–786. 17 indexed citations

3.

Won, Jungdam, et al.. (2023). ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. Seoul National University Open Repository (Seoul National University). 1–11. 9 indexed citations

4.

Zhang, Yunbo, Alexander Clegg, Sehoon Ha, Greg Turk, & Yuting Ye. (2023). Learning to Transfer In‐Hand Manipulations Using a Greedy Shape Curriculum. Computer Graphics Forum. 42(2). 25–36. 2 indexed citations

5.

Li, Jiaman, Rishi Agarwal, Jiajun Wu, et al.. (2023). CIRCLE: Capture In Rich Contextual Environments. 21211–21221. 18 indexed citations

6.

Ortiz, Joseph D., Alexander Clegg, Jing Dong, et al.. (2022). iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. 83 indexed citations

7.

Clegg, Alexander, Wenhao Yu, Jie Tan, C. Karen Liu, & Greg Turk. (2018). Learning to dress. ACM Transactions on Graphics. 37(6). 1–10. 63 indexed citations

8.

Erickson, Zackory, Alexander Clegg, Wenhao Yu, et al.. (2017). What does the person feel? Learning to infer applied forces during robot-assisted dressing. 6058–6065. 25 indexed citations

9.

Clegg, Alexander. (2017). Religion in the Media: A Study of Student Perception of Media Bias in Georgia. 1 indexed citations

10.

Clegg, Alexander, Wenhao Yu, Zackory Erickson, et al.. (2017). Learning to navigate cloth using haptics. 3. 2799–2805. 13 indexed citations

11.

Clegg, Alexander, Jie Tan, Greg Turk, & C. Karen Liu. (2015). Animating human dressing. ACM Transactions on Graphics. 34(4). 1–9. 22 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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