Andrew Long

1.3k total citations
34 papers, 895 citations indexed

About

Andrew Long is a scholar working on Biomedical Engineering, Neurology and Materials Chemistry. According to data from OpenAlex, Andrew Long has authored 34 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 5 papers in Neurology and 5 papers in Materials Chemistry. Recurrent topics in Andrew Long's work include Muscle activation and electromyography studies (6 papers), Stroke Rehabilitation and Recovery (4 papers) and Prosthetics and Rehabilitation Robotics (4 papers). Andrew Long is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Stroke Rehabilitation and Recovery (4 papers) and Prosthetics and Rehabilitation Robotics (4 papers). Andrew Long collaborates with scholars based in United States, Netherlands and Germany. Andrew Long's co-authors include Andrew L. Ferguson, Amy J. Bastian, Ryan T. Roemmich, Conor J. Walsh, Nikos Karavas, James M. Finley, Michael P. Howard, Athanassios Z. Panagiotopoulos, Gelsy Torres‐Oviedo and Wesley F. Reinhart and has published in prestigious journals such as The Journal of Physical Chemistry B, Current Biology and Journal of Neurophysiology.

In The Last Decade

Andrew Long

32 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Long United States 16 390 206 154 143 122 34 895
Yasuhiro Akiyama Japan 22 513 1.3× 324 1.6× 184 1.2× 190 1.3× 91 0.7× 189 2.4k
K. Ohata Japan 26 286 0.7× 36 0.2× 193 1.3× 100 0.7× 63 0.5× 97 1.6k
Antônio Adilton Oliveira Carneiro Brazil 21 788 2.0× 108 0.5× 16 0.1× 95 0.7× 43 0.4× 121 1.4k
Kazuo Funato Japan 14 313 0.8× 81 0.4× 41 0.3× 20 0.1× 36 0.3× 57 872
Toshiki Kobayashi Japan 27 1.1k 2.9× 142 0.7× 276 1.8× 239 1.7× 51 0.4× 201 2.7k
Young‐Sik Park South Korea 19 132 0.3× 111 0.5× 16 0.1× 77 0.5× 16 0.1× 123 1.3k
Bruce Bukiet United States 14 160 0.4× 64 0.3× 39 0.3× 162 1.1× 38 0.3× 42 740
C. H. Massen Netherlands 11 137 0.4× 81 0.4× 20 0.1× 214 1.5× 62 0.5× 53 590
Kazushi Nomura Japan 15 181 0.5× 34 0.2× 15 0.1× 75 0.5× 46 0.4× 51 861
Masanori Yamanaka Japan 23 395 1.0× 61 0.3× 49 0.3× 71 0.5× 28 0.2× 93 1.9k

Countries citing papers authored by Andrew Long

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Long

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

All Works

20 of 20 papers shown
1.
McIntyre, Matthew K., Andrew Long, Chirag D. Gandhi, et al.. (2021). Glycemic indices predict outcomes after aneurysmal subarachnoid hemorrhage: a retrospective single center comparative analysis. Scientific Reports. 11(1). 158–158. 10 indexed citations
2.
McIntyre, Matthew K., Chirag D. Gandhi, Andrew Long, et al.. (2020). Low total cholesterol and high density lipoprotein are independent predictors of poor outcomes following aneurysmal subarachnoid hemorrhage: A preliminary report. Clinical Neurology and Neurosurgery. 197. 106062–106062. 11 indexed citations
3.
Willetts, Joanna, et al.. (2020). P1268MIXING ARTIFICIAL INTELLIGENCE AND CLINICAL OUTREACH TO REDUCE RISK OF FLUID OVERLOAD HOSPITALIZATION IN PATIENTS WITH END-STAGE RENAL DISEASE. Nephrology Dialysis Transplantation. 35(Supplement_3). 1 indexed citations
4.
Long, Andrew, Hanjie Zhang, Caitlin Monaghan, et al.. (2020). Artificial intelligence enabled applications in kidney disease. Seminars in Dialysis. 34(1). 5–16. 34 indexed citations
5.
McIntyre, Matthew K., Chirag D. Gandhi, Andrew Long, et al.. (2019). Age predicts outcomes better than frailty following aneurysmal subarachnoid hemorrhage: A retrospective cohort analysis. Clinical Neurology and Neurosurgery. 187. 105558–105558. 30 indexed citations
6.
Shokoohi, Hamid, Keith Boniface, Paige Kulie, Andrew Long, & Melissa L. McCarthy. (2019). The Utility and Survivorship of Peripheral Intravenous Catheters Inserted in the Emergency Department. Annals of Emergency Medicine. 74(3). 381–390. 12 indexed citations
7.
Kulie, Paige, et al.. (2019). Randomized controlled trial to improve primary care follow-up among emergency department patients. The American Journal of Emergency Medicine. 38(6). 1115–1122. 3 indexed citations
8.
Panizzolo, Fausto A., Nikos Karavas, Asa Eckert‐Erdheim, et al.. (2019). Metabolic cost adaptations during training with a soft exosuit assisting the hip joint. Scientific Reports. 9(1). 9779–9779. 54 indexed citations
9.
Bae, Jaehyun, Louis N. Awad, Andrew Long, et al.. (2018). Biomechanical mechanisms underlying exosuit-induced improvements in walking economy after stroke. Journal of Experimental Biology. 221(Pt 5). 44 indexed citations
10.
Lee, Sangjun, J. Kim, Lauren Baker, et al.. (2018). Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking. Journal of NeuroEngineering and Rehabilitation. 15(1). 66–66. 120 indexed citations
11.
Awad, Louis N., Jaehyun Bae, Pawel Kudzia, et al.. (2017). Reducing Circumduction and Hip Hiking During Hemiparetic Walking Through Targeted Assistance of the Paretic Limb Using a Soft Robotic Exosuit. American Journal of Physical Medicine & Rehabilitation. 96(10). S157–S164. 51 indexed citations
12.
Reinhart, Wesley F., Andrew Long, Michael P. Howard, Andrew L. Ferguson, & Athanassios Z. Panagiotopoulos. (2017). Machine learning for autonomous crystal structure identification. Soft Matter. 13(27). 4733–4745. 84 indexed citations
13.
Baker, Lauren, Sang‐Jun Lee, Andrew Long, et al.. (2017). Ankle optimization with a soft exosuit reduces metabolic cost of loaded walking. 1–1. 1 indexed citations
14.
Long, Andrew, et al.. (2016). Nonlinear machine learning and design of reconfigurable digital colloids. Soft Matter. 12(34). 7119–7135. 20 indexed citations
15.
Roemmich, Ryan T., Andrew Long, & Amy J. Bastian. (2016). Seeing the Errors You Feel Enhances Locomotor Performance but Not Learning. Current Biology. 26(20). 2707–2716. 63 indexed citations
16.
Long, Andrew, Ryan T. Roemmich, & Amy J. Bastian. (2016). Blocking trial-by-trial error correction does not interfere with motor learning in human walking. Journal of Neurophysiology. 115(5). 2341–2348. 37 indexed citations
17.
Long, Andrew, Jie Zhang, Steve Granick, & Andrew L. Ferguson. (2015). Machine learning assembly landscapes from particle tracking data. Soft Matter. 11(41). 8141–8153. 50 indexed citations
18.
Long, Andrew, et al.. (2015). The structure and peroxidase activity of myoglobin in alcoholic solvents. Polyhedron. 114. 138–144. 4 indexed citations
19.
Long, Andrew, Robert D. Gregg, & Kevin Lynch. (2011). THE SIMPLEST PARKOUR MODEL: EXPERIMENTAL VALIDATION AND STABILITY ANALYSIS. 684–691. 3 indexed citations
20.
Long, Andrew, Todd D. Murphey, & Kevin Lynch. (2011). Optimal motion planning for a class of hybrid dynamical systems with impacts. 3. 4220–4226. 8 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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