Heather S. Haeberle

3.4k total citations · 1 hit paper
67 papers, 2.3k citations indexed

About

Heather S. Haeberle is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Heather S. Haeberle has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 14 papers in Epidemiology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Heather S. Haeberle's work include Total Knee Arthroplasty Outcomes (22 papers), Orthopaedic implants and arthroplasty (20 papers) and Shoulder Injury and Treatment (12 papers). Heather S. Haeberle is often cited by papers focused on Total Knee Arthroplasty Outcomes (22 papers), Orthopaedic implants and arthroplasty (20 papers) and Shoulder Injury and Treatment (12 papers). Heather S. Haeberle collaborates with scholars based in United States, United Kingdom and Argentina. Heather S. Haeberle's co-authors include Prem N. Ramkumar, Sergio M. Navarro, Jaret M. Karnuta, Viktor E. Krebs, Jonathan L. Schaffer, Brendan M. Patterson, Michael A. Mont, J. Matthew Helm, Michael A. Mont and Andrew I. Spitzer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and The American Journal of Sports Medicine.

In The Last Decade

Heather S. Haeberle

65 papers receiving 2.3k citations

Hit Papers

Machine Learning and Artificial Intelligence: Definitions... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions
    2020 384 citations J. Matthew Helm, Andrew Swiergosz et al. Current Reviews in Musculoskeletal Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather S. Haeberle United States 28 1.2k 521 357 293 224 67 2.3k
Viktor E. Krebs United States 37 3.0k 2.4× 376 0.7× 399 1.1× 324 1.1× 218 1.0× 130 3.9k
Prem N. Ramkumar United States 34 2.2k 1.8× 690 1.3× 507 1.4× 407 1.4× 462 2.1× 134 3.7k
Kyle N. Kunze United States 32 2.4k 1.9× 329 0.6× 342 1.0× 343 1.2× 303 1.4× 213 3.3k
Jonathan L. Schaffer United States 29 1.5k 1.2× 220 0.4× 583 1.6× 134 0.5× 131 0.6× 101 3.3k
Aditya V. Karhade United States 35 1.9k 1.5× 665 1.3× 886 2.5× 449 1.5× 377 1.7× 115 3.6k
Jaret M. Karnuta United States 22 819 0.7× 430 0.8× 260 0.7× 212 0.7× 65 0.3× 49 1.6k
Paul H. Yi United States 30 1.3k 1.0× 821 1.6× 329 0.9× 165 0.6× 273 1.2× 148 3.1k
Stefano A. Bini United States 29 2.0k 1.6× 157 0.3× 147 0.4× 291 1.0× 147 0.7× 74 2.9k
Adam E. M. Eltorai United States 30 1.2k 0.9× 120 0.2× 352 1.0× 164 0.6× 185 0.8× 139 2.9k
Karthikeyan P. Iyengar United Kingdom 27 552 0.4× 275 0.5× 149 0.4× 75 0.3× 175 0.8× 221 2.5k

Countries citing papers authored by Heather S. Haeberle

Since Specialization
Citations

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

Fields of papers citing papers by Heather S. Haeberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather S. Haeberle. 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 Heather S. Haeberle. The network helps show where Heather S. Haeberle may publish in the future.

Co-authorship network of co-authors of Heather S. Haeberle

This figure shows the co-authorship network connecting the top 25 collaborators of Heather S. Haeberle. A scholar is included among the top collaborators of Heather S. Haeberle 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 Heather S. Haeberle. Heather S. Haeberle 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.
Arsoy, Diren, Laura J. Kleeblad, Heather S. Haeberle, et al.. (2025). Excellent long-term survivorship, radiologic and functional outcomes of operatively treated tibial plateau fractures. The Knee. 55. 142–152. 1 indexed citations
2.
Ramkumar, Prem N., et al.. (2023). Hip resurfacing arthroplasty as an alternative to total hip arthroplasty in patients aged under 40 years. Bone & Joint Open. 4(6). 408–415. 5 indexed citations
3.
Gupta, Puneet, Heather S. Haeberle, Zachary R. Zimmer, et al.. (2023). Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review. SHILAP Revista de lepidopterología. 3(2). 189–200. 20 indexed citations
4.
Karnuta, Jaret M., Michael P. Murphy, Bryan C. Luu, et al.. (2022). Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs. The Journal of Arthroplasty. 38(10). 1998–2003.e1. 26 indexed citations
5.
Ramkumar, Prem N., Jaret M. Karnuta, Heather S. Haeberle, et al.. (2021). Effect of Preoperative Imaging and Patient Factors on Clinically Meaningful Outcomes and Quality of Life After Osteochondral Allograft Transplantation: A Machine Learning Analysis of Cartilage Defects of the Knee. The American Journal of Sports Medicine. 49(8). 2177–2186. 24 indexed citations
6.
Ramkumar, Prem N., Kyle N. Kunze, Heather S. Haeberle, et al.. (2020). Clinical and Research Medical Applications of Artificial Intelligence. Arthroscopy The Journal of Arthroscopic and Related Surgery. 37(5). 1694–1697. 64 indexed citations
7.
Helm, J. Matthew, Andrew Swiergosz, Heather S. Haeberle, et al.. (2020). Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions. Current Reviews in Musculoskeletal Medicine. 13(1). 69–76. 384 indexed citations breakdown →
8.
Ramkumar, Prem N., Heather S. Haeberle, Sergio M. Navarro, et al.. (2019). Prognostic utility of an magnetic resonance imaging-based classification for operative versus nonoperative management of ulnar collateral ligament tears: one-year follow-up. Journal of Shoulder and Elbow Surgery. 28(6). 1159–1165. 15 indexed citations
9.
Ramkumar, Prem N., Jaret M. Karnuta, Sergio M. Navarro, et al.. (2019). Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model. The Journal of Arthroplasty. 34(10). 2228–2234.e1. 55 indexed citations
10.
Ramkumar, Prem N., Jaret M. Karnuta, Sergio M. Navarro, et al.. (2019). Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model. The Journal of Arthroplasty. 34(10). 2220–2227.e1. 75 indexed citations
11.
Karnuta, Jaret M., Sergio M. Navarro, Heather S. Haeberle, et al.. (2019). Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?. The Journal of Arthroplasty. 34(10). 2235–2241.e1. 28 indexed citations
12.
Navarro, Sergio M., Rowland W. Pettit, Heather S. Haeberle, et al.. (2018). Short-Term Impact of Concussion in the NHL: An Analysis of Player Longevity, Performance, and Financial Loss. Journal of Neurotrauma. 35(20). 2391–2399. 23 indexed citations
13.
Ramkumar, Prem N., Sergio M. Navarro, Heather S. Haeberle, et al.. (2018). Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models. The Journal of Arthroplasty. 34(4). 632–637. 109 indexed citations
14.
Ramkumar, Prem N., Sergio M. Navarro, William C. Frankel, et al.. (2018). Evidence-Based Thresholds for the Volume and Length of Stay Relationship in Total Hip Arthroplasty: Outcomes and Economies of Scale. The Journal of Arthroplasty. 33(7). 2031–2037. 32 indexed citations
15.
Ramkumar, Prem N., Heather S. Haeberle, Joseph P. Iannotti, & Eric T. Ricchetti. (2018). The Volume-Value Relationship in Shoulder Arthroplasty. Orthopedic Clinics of North America. 49(4). 519–525. 14 indexed citations
16.
Ramkumar, Prem N., Heather S. Haeberle, Sergio M. Navarro, et al.. (2018). Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit. Journal of Shoulder and Elbow Surgery. 27(7). 1198–1204. 35 indexed citations
17.
Ramkumar, Prem N., Sergio M. Navarro, Heather S. Haeberle, et al.. (2017). Social Media and Total Joint Arthroplasty: An Analysis of Patient Utilization on Instagram. The Journal of Arthroplasty. 32(9). 2694–2700. 46 indexed citations
18.
Haeberle, Heather S., et al.. (2017). The Medtech Innovation Course: Description and Initial Experiences with a Novel Collaborative Course Model. Journal of Entrepreneurship Education. 20(2). 1. 1 indexed citations
19.
Haeberle, Heather S., Anthony C. Egger, Sergio M. Navarro, et al.. (2017). Social Media and Pediatric Scoliosis: An Analysis of Patient and Surgeon Use.. PubMed. 31. 189–196. 27 indexed citations
20.
Ramkumar, Prem N., Sergio M. Navarro, Heather S. Haeberle, et al.. (2017). Cellular therapy injections in today's orthopedic market: A social media analysis. Cytotherapy. 19(12). 1392–1399. 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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