J. J. Martin

467 total citations
6 papers, 303 citations indexed

About

J. J. Martin is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, J. J. Martin has authored 6 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Information Systems. Recurrent topics in J. J. Martin's work include Advanced Data Processing Techniques (1 paper), Educational Technology and Assessment (1 paper) and Topic Modeling (1 paper). J. J. Martin is often cited by papers focused on Advanced Data Processing Techniques (1 paper), Educational Technology and Assessment (1 paper) and Topic Modeling (1 paper). J. J. Martin collaborates with scholars based in United States. J. J. Martin's co-authors include Kurt VanLehn, Richard A. Olshen, Paul H. Randolph, William R. King and William S. Peters and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Marketing Research.

In The Last Decade

J. J. Martin

6 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. J. Martin United States 5 194 51 43 38 30 6 303
Lokesh Jain India 10 144 0.7× 8 0.2× 27 0.6× 53 1.4× 22 0.7× 18 338
Bruce Krulwich United States 9 186 1.0× 28 0.5× 11 0.3× 155 4.1× 7 0.2× 21 291
S. Mittal United States 3 120 0.6× 7 0.1× 31 0.7× 43 1.1× 9 0.3× 4 215
Martin Spott United Kingdom 9 65 0.3× 9 0.2× 24 0.6× 45 1.2× 9 0.3× 30 220
Jordi Soria-Comas Spain 12 470 2.4× 93 1.8× 41 1.0× 56 1.5× 6 0.2× 20 505
Robert Orchard Canada 6 98 0.5× 5 0.1× 57 1.3× 21 0.6× 27 0.9× 18 231
Jairus Hihn United States 12 115 0.6× 25 0.5× 26 0.6× 563 14.8× 23 0.8× 51 666
Dipankar Ray India 4 176 0.9× 24 0.5× 115 2.7× 83 2.2× 7 0.2× 10 297
Charles Ashbacher United States 7 105 0.5× 9 0.2× 31 0.7× 138 3.6× 17 0.6× 29 272
Juan J. Cuadrado‐Gallego Spain 12 116 0.6× 22 0.4× 14 0.3× 319 8.4× 5 0.2× 59 431

Countries citing papers authored by J. J. Martin

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Martin

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

All Works

6 of 6 papers shown
1.
VanLehn, Kurt & J. J. Martin. (1997). J. Evaluation on an assessment system based on Bayesian student modeling. International Journal of Artificial Intelligence in Education. 8(2). 179–221. 40 indexed citations
2.
Martin, J. J. & Kurt VanLehn. (1995). Student assessment using Bayesian nets. International Journal of Human-Computer Studies. 42(6). 575–591. 100 indexed citations
3.
Martin, J. J., et al.. (1969). An Introduction to Bayesian Statistical Processes. Journal of Marketing Research. 6(3). 377–377. 1 indexed citations
4.
Martin, J. J.. (1969). Bayesian Decision Problems and Markov Chains.. Journal of the Royal Statistical Society Series D (The Statistician). 19(2). 175–175. 6 indexed citations
5.
Randolph, Paul H. & J. J. Martin. (1968). Bayesian Decision Problems and Markov Chains. Technometrics. 10(4). 878–878. 56 indexed citations
6.
Olshen, Richard A. & J. J. Martin. (1968). Bayesian Decision Problems and Markov Chains.. Journal of the American Statistical Association. 63(324). 1532–1532. 100 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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