Aditya V. Karhade

5.2k total citations
115 papers, 3.6k citations indexed

About

Aditya V. Karhade is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Aditya V. Karhade has authored 115 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Surgery, 33 papers in Pathology and Forensic Medicine and 31 papers in Biomedical Engineering. Recurrent topics in Aditya V. Karhade's work include Spine and Intervertebral Disc Pathology (33 papers), Medical Imaging and Analysis (27 papers) and Management of metastatic bone disease (25 papers). Aditya V. Karhade is often cited by papers focused on Spine and Intervertebral Disc Pathology (33 papers), Medical Imaging and Analysis (27 papers) and Management of metastatic bone disease (25 papers). Aditya V. Karhade collaborates with scholars based in United States, Netherlands and Taiwan. Aditya V. Karhade's co-authors include Joseph H. Schwab, Timothy R. Smith, Marike L. D. Broekman, William B. Gormley, Paul T. Ogink, Christopher M. Bono, Joeky T. Senders, Quirina C. B. S. Thio, Omar Arnaout and Andrew J. Schoenfeld and has published in prestigious journals such as Journal of Bone and Joint Surgery, British Journal of Cancer and Clinical Orthopaedics and Related Research.

In The Last Decade

Aditya V. Karhade

114 papers receiving 3.6k citations

Peers

Aditya V. Karhade

SURGE

PFM

CCM

Joseph H. Schwab United States

John H. Shin United States

Samuel K. Cho United States

Ronil V. Chandra Australia

Rodney A. Gabriel United States

Benedict U. Nwachukwu United States

Domenico Albano Italy

Luciano M. Prevedello United States

Carmelo Messina Italy

Paul H. Yi United States

Joseph H. Schwab United States

Aditya V. Karhade

3.3k ×1.7

SURGE

956 ×1.1

1.4k ×1.9

PFM

515 ×0.8

462 ×1.0

CCM

Citations per year, relative to Aditya V. Karhade Aditya V. Karhade (= 1×) peers Joseph H. Schwab

Countries citing papers authored by Aditya V. Karhade

Since Specialization

Citations

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

Fields of papers citing papers by Aditya V. Karhade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya V. Karhade. 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 Aditya V. Karhade. The network helps show where Aditya V. Karhade may publish in the future.

Co-authorship network of co-authors of Aditya V. Karhade

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

All Works

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20 of 20 papers shown

Yuan, Chen, Olivier Q. Groot, Aditya V. Karhade, et al.. (2023). Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis. Cancer Medicine. 12(13). 14264–14281. 2 indexed citations

Shah, Akash, Aditya V. Karhade, Olivier Q. Groot, et al.. (2023). External validation of a predictive algorithm for in-hospital and 90-day mortality after spinal epidural abscess. The Spine Journal. 23(5). 760–765. 3 indexed citations

Ramsey, Duncan C., Olivier Q. Groot, Mitchell S. Fourman, et al.. (2023). Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020. Clinical Orthopaedics and Related Research. 481(12). 2419–2430. 7 indexed citations

Crawford, Alexander M., Aditya V. Karhade, Nicole Agaronnik, et al.. (2023). Development of a machine learning algorithm to identify surgical candidates for hip and knee arthroplasty without in-person evaluation. Archives of Orthopaedic and Trauma Surgery. 143(9). 5985–5992. 14 indexed citations

Ogink, Paul T., Olivier Q. Groot, Shin-Fu Chen, et al.. (2022). A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 patients from a Taiwanese cohort. The Spine Journal. 22(7). 1119–1130. 26 indexed citations

Elsamadicy, Aladine A., Andrew B. Koo, Benjamin C. Reeves, et al.. (2022). Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty. Global Spine Journal. 14(4). 1227–1237. 15 indexed citations

Karhade, Aditya V., Olivier Q. Groot, Akash Shah, et al.. (2022). Development and external validation of predictive algorithms for six-week mortality in spinal metastasis using 4,304 patients from five institutions. The Spine Journal. 22(12). 2033–2041. 16 indexed citations

Hu, Ming‐Hsiao, Olivier Q. Groot, Aditya V. Karhade, et al.. (2022). Prognostic significance of lab data and performance comparison by validating survival prediction models for patients with spinal metastases after radiotherapy. Radiotherapy and Oncology. 175. 159–166. 8 indexed citations

Oosterhoff, Jacobien H. F., Aditya V. Karhade, Benjamin Gravesteijn, et al.. (2022). Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above. European Journal of Trauma and Emergency Surgery. 48(6). 4669–4682. 24 indexed citations

10.

Karhade, Aditya V., Ophélie Lavoie-Gagné, Nicole Agaronnik, et al.. (2021). Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?. The Spine Journal. 22(2). 272–277. 25 indexed citations

11.

Chen, Chih‐Wei, Mitchell S. Fourman, Michiel E. R. Bongers, et al.. (2021). International external validation of the SORG machine learning algorithms for predicting 90-day and one-year survival of patients with spine metastases using a Taiwanese cohort. The Spine Journal. 21(10). 1670–1678. 36 indexed citations

12.

Karhade, Aditya V., et al.. (2021). Characteristics of postoperative opioid prescription use following lumbar discectomy. Journal of Neurosurgery Spine. 35(6). 710–714. 3 indexed citations

13.

Katakam, Akhil, Aditya V. Karhade, Joseph H. Schwab, Antonia F. Chen, & Hany S. Bedair. (2020). Development and validation of machine learning algorithms for postoperative opioid prescriptions after TKA. Journal of Orthopaedics. 22. 95–99. 31 indexed citations

14.

Karhade, Aditya V., D. Thomas, Harold A. Fogel, et al.. (2019). Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients. The Spine Journal. 20(6). 888–895. 58 indexed citations

15.

Thio, Quirina C. B. S., Aditya V. Karhade, Paul T. Ogink, et al.. (2019). Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease. Clinical Orthopaedics and Related Research. 478(2). 322–333. 56 indexed citations

16.

Thio, Quirina C. B. S., Aditya V. Karhade, Paul T. Ogink, et al.. (2018). Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?. Clinical Orthopaedics and Related Research. 476(10). 2040–2048. 68 indexed citations

17.

Senders, Joeky T., Patrick Staples, Aditya V. Karhade, et al.. (2017). Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review. World Neurosurgery. 109. 476–486.e1. 322 indexed citations

18.

Karhade, Aditya V., Viren S. Vasudeva, Hormuzdiyar H. Dasenbrock, et al.. (2016). Thirty-day readmission and reoperation after surgery for spinal tumors: a National Surgical Quality Improvement Program analysis. Neurosurgical FOCUS. 41(2). E5–E5. 96 indexed citations

19.

Senders, Joeky T., Ivo S. Muskens, Rosalie Schnoor, et al.. (2016). Agents for fluorescence-guided glioma surgery: a systematic review of preclinical and clinical results. Acta Neurochirurgica. 159(1). 151–167. 117 indexed citations

20.

Karhade, Aditya V., Saksham Gupta, David J. Coté, et al.. (2016). Impact of operative length on post-operative complications in meningioma surgery: a NSQIP analysis. Journal of Neuro-Oncology. 131(1). 59–67. 38 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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