J.M. DeLeo

988 total citations
12 papers, 739 citations indexed

About

J.M. DeLeo is a scholar working on Artificial Intelligence, Surgery and Health Information Management. According to data from OpenAlex, J.M. DeLeo has authored 12 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Surgery and 2 papers in Health Information Management. Recurrent topics in J.M. DeLeo's work include Artificial Intelligence in Healthcare (2 papers), Neural Networks and Applications (2 papers) and Machine Learning in Healthcare (2 papers). J.M. DeLeo is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Neural Networks and Applications (2 papers) and Machine Learning in Healthcare (2 papers). J.M. DeLeo collaborates with scholars based in United States, Netherlands and Austria. J.M. DeLeo's co-authors include Judith E. Dayhoff, Louise Brown, John E. Heffner, Celia Barbieri, Gregory Campbell, Simon Rosenfeld, Irene Litvan, K. A. Jellinger, Dikran S. Horoupian and P. L. Lantos and has published in prestigious journals such as Brain, American Journal of Respiratory and Critical Care Medicine and Cancer.

In The Last Decade

J.M. DeLeo

11 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.M. DeLeo United States	7	211	119	108	72	64	12	739
Michal Burda Czechia	12	175 0.8×	119 1.0×	87 0.8×	51 0.7×	24 0.4×	56	616
Aris Perperoglou United Kingdom	17	54 0.3×	13 0.1×	101 0.9×	92 1.3×	29 0.5×	37	934
Frauke Degenhardt Germany	9	75 0.4×	9 0.1×	44 0.4×	78 1.1×	58 0.9×	25	774
Ashis Kumar Mandal United States	19	297 1.4×	61 0.5×	142 1.3×	499 6.9×	78 1.2×	104	1.2k
D. Murdoch Australia	15	237 1.1×	19 0.2×	60 0.6×	119 1.7×	18 0.3×	79	928
Guolong Cai China	14	90 0.4×	36 0.3×	171 1.6×	87 1.2×	6 0.1×	58	659
Zhiwei Jiang China	17	224 1.1×	12 0.1×	178 1.6×	191 2.7×	82 1.3×	88	1.1k
Qing Pan China	15	170 0.8×	55 0.5×	116 1.1×	68 0.9×	9 0.1×	64	794
Mohammad Yaqub United Kingdom	15	42 0.2×	22 0.2×	168 1.6×	50 0.7×	67 1.0×	50	865
James M. Murphy United States	12	42 0.2×	20 0.2×	43 0.4×	66 0.9×	22 0.3×	47	538

Countries citing papers authored by J.M. DeLeo

Since Specialization

Citations

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

Fields of papers citing papers by J.M. DeLeo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. DeLeo. 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 J.M. DeLeo. The network helps show where J.M. DeLeo may publish in the future.

Co-authorship network of co-authors of J.M. DeLeo

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

12 of 12 papers shown

1.

DeLeo, J.M., et al.. (2025). Endocrine responses to low‐load blood flow restricted and high‐load resistance exercise in well‐trained males. Physiological Reports. 13(13). e70455–e70455. 1 indexed citations

2.

DeLeo, J.M., Kathryn E. Ackerman, Evert Verhagen, Andrew C. Fry, & Fiona Wilson. (2024). Beach Sprints Rowing: Injury and Illness Prevalence at the 2022 World Championships. BMJ Open Sport & Exercise Medicine. 10(3). e001940–e001940.

3.

DeLeo, J.M. & Judith E. Dayhoff. (2002). Medical applications of neural networks: measures of certainty and statistical tradeoffs. 45. 3009–3014. 5 indexed citations

4.

DeLeo, J.M.. (2002). The receiver operating characteristic function as a tool for uncertainty management in artificial neural network decision-making. 141–144. 13 indexed citations

5.

DeLeo, J.M. & Simon Rosenfeld. (2002). Essential roles for receiver operating characteristic (ROC) methodology in classifier neural network applications. 45. 2730–2731. 8 indexed citations

6.

DeLeo, J.M.. (2002). Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty. 318–325. 165 indexed citations

7.

DeLeo, J.M. & Gregory Campbell. (2002). The fuzzy receiver operating characteristic function and medical decisions with uncertainty. 22. 694–699. 12 indexed citations

8.

DeLeo, J.M. & Simon Rosenfeld. (2002). Important statistical considerations in classifier systems. 285–293. 2 indexed citations

9.

DeLeo, J.M. & Gregory Campbell. (2002). Biomedical applications of uncertainty modeling and analysis with fuzzy receiver operating characteristic methodology. Zenodo (CERN European Organization for Nuclear Research). 37. 192–197. 1 indexed citations

10.

Dayhoff, Judith E. & J.M. DeLeo. (2001). Artificial neural networks. Cancer. 91(S8). 1615–1635. 321 indexed citations

11.

Litvan, Irene, J.M. DeLeo, J.J. Hauw, et al.. (1996). What can artificial neural networks teach us about neurodegenerative disorders with extrapyramidal features?. Brain. 119(3). 831–839. 9 indexed citations

12.

Heffner, John E., Louise Brown, Celia Barbieri, & J.M. DeLeo. (1995). Pleural Fluid Chemical Analysis in Parapneumonic Effusions. A Meta-Analysis. American Journal of Respiratory and Critical Care Medicine. 151(6). 1700–1708. 202 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.

Explore authors with similar magnitude of impact