Douglas A. Talbert

524 total citations
40 papers, 341 citations indexed

About

Douglas A. Talbert is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Douglas A. Talbert has authored 40 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Molecular Biology. Recurrent topics in Douglas A. Talbert's work include Explainable Artificial Intelligence (XAI) (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Network Security and Intrusion Detection (5 papers). Douglas A. Talbert is often cited by papers focused on Explainable Artificial Intelligence (XAI) (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Network Security and Intrusion Detection (5 papers). Douglas A. Talbert collaborates with scholars based in United States and Switzerland. Douglas A. Talbert's co-authors include Thomas W. Crowther, Randolph A. Miller, Donald M. Walker, Muhammad Ismail, Ambareen Siraj, Kristofer Covey, Mark A. Bradford, Daniel L. Lindner, Daniel S. Maynard and Jessie A. Glaeser and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of the American Medical Informatics Association.

In The Last Decade

Douglas A. Talbert

33 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Douglas A. Talbert United States	8	105	80	70	66	45	40	341
Denis Klimov Israel	11	101 1.0×	37 0.5×	45 0.6×	78 1.2×	74 1.6×	21	404
Savita Kolhe India	7	96 0.9×	26 0.3×	16 0.2×	178 2.7×	13 0.3×	21	370
Ernest Mwebaze Uganda	11	98 0.9×	12 0.1×	9 0.1×	155 2.3×	15 0.3×	28	431
N. Karthikeyan India	11	66 0.6×	83 1.0×	23 0.3×	63 1.0×	22 0.5×	38	372
Wei‐Jiun Lin Taiwan	10	106 1.0×	8 0.1×	18 0.3×	28 0.4×	9 0.2×	19	471
Mansoor Alam United States	8	30 0.3×	20 0.3×	8 0.1×	185 2.8×	14 0.3×	18	302
Soumadip Ghosh India	10	143 1.4×	11 0.1×	45 0.6×	21 0.3×	14 0.3×	24	313
P. Punitha India	12	77 0.7×	47 0.6×	5 0.1×	100 1.5×	46 1.0×	47	414
Jatinder Manhas India	12	186 1.8×	8 0.1×	62 0.9×	66 1.0×	4 0.1×	32	475

Countries citing papers authored by Douglas A. Talbert

Since Specialization

Citations

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

Fields of papers citing papers by Douglas A. Talbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas A. Talbert. 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 Douglas A. Talbert. The network helps show where Douglas A. Talbert may publish in the future.

Co-authorship network of co-authors of Douglas A. Talbert

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas A. Talbert. A scholar is included among the top collaborators of Douglas A. Talbert 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 Douglas A. Talbert. Douglas A. Talbert 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

Talbert, Douglas A., et al.. (2026). Explainable Diagnostic Machine Learning Models with Feature Dependence: A Case Study in Smart Knee Implants. International Journal of Artificial Intelligence Tools. 35(2).

Talbert, Douglas A., et al.. (2024). Beyond Size and Accuracy: The Impact of Model Compression on Fairness. SHILAP Revista de lepidopterología. 37. 2 indexed citations

Hagy, Heath M., et al.. (2023). Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. SHILAP Revista de lepidopterología. 36. 1 indexed citations

Talbert, Douglas A., et al.. (2022). Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. SHILAP Revista de lepidopterología. 35. 2 indexed citations

Talbert, Douglas A., et al.. (2021). Counterfactual Examples for Data Augmentation: A Case Study. SHILAP Revista de lepidopterología. 34(1). 1 indexed citations

Talbert, Douglas A., et al.. (2020). Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection.. The Florida AI Research Society. 434–438. 1 indexed citations

Talbert, Douglas A., et al.. (2020). Uncertainty Quantification in Multimodal Ensembles of Deep Learners.. The Florida AI Research Society. 422–427. 5 indexed citations

Frey, L. & Douglas A. Talbert. (2020). Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine. PubMed. 5. 5 indexed citations

Johnson, William A., et al.. (2020). Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. 1–6. 40 indexed citations

10.

Talbert, Douglas A., et al.. (2019). Estimating Uncertainty in Deep Image Classification.. AMIA. 4 indexed citations

11.

Maynard, Daniel S., Mark A. Bradford, Kristofer Covey, et al.. (2019). Consistent trade-offs in fungal trait expression across broad spatial scales. Nature Microbiology. 4(5). 846–853. 94 indexed citations

12.

Talbert, Douglas A., et al.. (2017). Anomalies in Students Enrollment Using Visualization.. The Florida AI Research Society. 544–548. 1 indexed citations

13.

Talbert, Douglas A., et al.. (2017). Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned.. Data Archiving and Networked Services (DANS). 140–145. 1 indexed citations

14.

Talbert, Douglas A., et al.. (2014). Correlating Information Use with Cost and Quality in a Rural ACO.. AMIA.

15.

Rosenbloom, S. Trent, William D. Dupont, Dario A. Giuse, et al.. (2005). Effect of CPOE User Interface Design on User-Initiated Access to Educational and Patient Information during Clinical Care. Journal of the American Medical Informatics Association. 12(4). 458–473. 53 indexed citations

16.

Rosenbloom, S. Trent, Douglas A. Talbert, & Dominik Aronsky. (2002). Surveying Housestaff Opinions Regarding Clinical Decision Support. Europe PMC (PubMed Central). 1145–1145. 3 indexed citations

17.

Talbert, Douglas A., et al.. (2001). Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface.. Europe PMC (PubMed Central). 1042–1042. 1 indexed citations

18.

Talbert, Douglas A., et al.. (1999). Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. PubMed Central. 1207–1207. 2 indexed citations

19.

Talbert, Douglas A. & Douglas Fisher. (1999). OPT-KD: An Algorithm for Optimizing Kd-Trees. International Conference on Machine Learning. 398–405. 1 indexed citations

20.

Puckett, James G., et al.. (1980). Rehabilitation in spinal cord injury: use of a patient-family group.. PubMed. 61(5). 225–9. 9 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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